阅读说明：本技术 光通道识别方法、装置、光通信监测设备及存储介质 (Optical channel identification method and device, optical communication monitoring equipment and storage medium ) 是由 吴琼 朱晓宇 叶斐 于 2019-08-23 设计创作，主要内容包括：本发明实施例提供一种光通道识别方法、装置、光通信监测设备及存储介质,通过将卷积预处理信号与监测点的光谱信号进行卷积处理得到卷积谱,其中,卷积预处理信号为波形对称的脉冲信号经一阶微分处理得到,且脉冲信号的时域宽度与对一个光通道的扫描时间匹配。随后,对卷积谱进行二阶差分处理得到二阶差分处理结果,并利用二阶差分处理结果的符号确定波峰波谷的频率位置,实现光通道识别。由于光通道识别方案在进行光通道识别的时候,无须进行导频标记,因此不会影响光通道对业务信号的传输性能。另一方面,光通道识别方案对光通道监测仪的频谱分辨率要求不高,不会增加光通道识别的成本,能够在保证低硬件成本的基础上提升光通道的识别率。(The embodiment of the invention provides an optical channel identification method, an optical channel identification device, optical communication monitoring equipment and a storage medium. And then, carrying out second-order difference processing on the convolution spectrum to obtain a second-order difference processing result, and determining the frequency position of a peak and a trough by using the symbol of the second-order difference processing result to realize optical channel identification. Because the optical channel identification scheme does not need to carry out pilot frequency marking when carrying out optical channel identification, the transmission performance of the optical channel to the service signal can not be influenced. On the other hand, the optical channel identification scheme has low requirements on the spectral resolution of the optical channel monitor, the cost of optical channel identification cannot be increased, and the identification rate of the optical channel can be improved on the basis of ensuring low hardware cost.)

1. An optical channel identification method, comprising:

performing convolution processing on a convolution preprocessing signal and a spectrum signal of a monitoring point to obtain a convolution spectrum, wherein the convolution preprocessing signal is obtained by performing first-order differential processing on a pulse signal with a symmetrical waveform, and the time domain width of the pulse signal is matched with the scanning time of an optical channel;

performing second-order difference processing on the convolution spectrum to obtain a second-order difference processing result;

and determining the frequency position of the wave crest and the wave trough by using the symbol of the second-order difference processing result to realize the identification of the optical channel.

2. The method for identifying an optical channel according to claim 1, wherein the pulse signal is a gaussian pulse signal, and before the convolution preprocessing signal is convolved with the spectrum signal of the monitoring point to obtain a convolution spectrum, the method further comprises:

generating a Gaussian pulse signal while scanning the spectrum of the monitoring point;

and performing first-order differential processing on the Gaussian pulse signal to obtain a convolution preprocessing signal.

3. The optical channel identifying method according to claim 1, wherein the time domain width of the pulse signal is 0.5 to 2 times the scanning time for one optical channel.

4. The method for identifying optical channels according to claim 1, wherein before convolving the convolved preprocessed signal with the spectral signal of the monitoring point to obtain the convolved spectrum, the method further comprises:

scanning the full-wave band spectrum of the monitoring point according to different central frequencies;

combining optical power signals obtained by scanning under different central frequencies to obtain a time domain spectrum;

and converting the time domain spectrum into a frequency domain to obtain a spectrum signal.

5. The method of claim 4, wherein scanning the full-band spectrum of the monitoring point at different center frequencies comprises:

for a certain central frequency, scanning the full-waveband spectrum of the monitoring point according to the central frequency;

detecting the optical power corresponding to the central frequency and carrying out photoelectric conversion to obtain an analog optical power signal;

converting the analog optical power signal to a digital optical power signal.

6. The optical channel identifying method of any one of claims 1-5, wherein convolving the convolved preprocessed signal with the spectral signal of the monitoring point to obtain a convolved spectrum comprises:

carrying out convolution processing on the spectrum signal and the convolution preprocessing signal to obtain an intermediate convolution result;

and performing convolution processing on the intermediate convolution result and the convolution preprocessing signal again to obtain a convolution spectrum.

7. The optical channel identification method according to any one of claims 1 to 5, wherein the performing second-order difference processing on the convolution spectrum to obtain a second-order difference processing result comprises:

performing first order difference processing on the convolution spectrum;

calculating a symbol function sequence of a first-order difference processing result;

and performing first-order difference processing on the symbol function sequence to obtain a second-order difference processing result corresponding to the convolution spectrum.

8. An optical channel identifying device comprising:

the processing control module is used for carrying out convolution processing on a convolution preprocessing signal and a spectrum signal of a monitoring point to obtain a convolution spectrum, the convolution preprocessing signal is obtained by carrying out first-order differential processing on a pulse signal with symmetrical waveform, the time domain width of the pulse signal is matched with the scanning time of an optical channel, and the processing control module is also used for carrying out second-order differential processing on the convolution spectrum to obtain a second-order differential processing result; and determining the frequency position of the wave crest and the wave trough by using the symbol of the second-order difference processing result to realize the identification of the optical channel.

9. The optical channel identifying device of claim 8, further comprising a spectrum scanning module and a convolution signal generating module; the spectrum scanning module is used for scanning the spectrum of the monitoring point under the control of the processing control module to obtain a spectrum signal; the processing control module is also used for generating a pulse generation instruction while the spectrum scanning module scans the spectrum of the monitoring point; and the convolution signal generation module is used for receiving the pulse generation instruction and generating a convolution preprocessing signal according to the pulse generation instruction.

10. The apparatus according to claim 9, wherein the pulse signal is a gaussian pulse signal, the convolution signal generating module comprises a pulse generating module and a differential processing module, and the pulse generating module is configured to generate the gaussian pulse signal; the differential processing module is used for carrying out first-order differential processing on the Gaussian pulse signal to obtain a convolution preprocessing signal.

11. The optical channel identifying device as claimed in any one of claims 8 to 10, wherein the processing control module is configured to perform convolution processing on the spectrum signal and the convolution pre-processed signal to obtain an intermediate convolution result, and perform convolution processing again on the intermediate convolution result and the convolution pre-processed signal to obtain a convolution spectrum.

12. An optical communication monitoring device, the optical communication monitoring device comprising a processor, a memory and a communication bus;

the communication bus is used for realizing connection communication between the processor and the memory;

the processor is configured to execute one or more programs stored in the memory to implement the steps of the optical channel identification method according to any one of claims 1 to 7.

13. A storage medium storing one or more programs, the one or more programs being executable by one or more processors to implement the steps of the optical channel recognition method according to any one of claims 1 to 7.

Technical Field

The present invention relates to the field of optical communication technologies, and in particular, to an optical channel identification method and apparatus, an optical communication monitoring device, and a storage medium.

Background

The OPM (Optical Performance Monitoring) technology is a key enabling technology for realizing future dynamic, transparent and flexible Optical networks, and accurate Optical channel identification is the basis for realizing Optical Performance Monitoring of different services. In a super 100G DWDM (Dense Wavelength Division Multiplexing) system, increasing the baud rate and reducing the channel grid cause the overlapping of adjacent channel spectrums to be serious, and especially when the power difference of adjacent optical channels is large, the spectrum of a low-power optical channel is easily submerged by the spectrum crosstalk and background noise of an adjacent high-power optical channel, thereby causing the problem of being unidentifiable.

Disclosure of Invention

The embodiment of the invention provides an optical channel identification method, an optical channel identification device, optical communication monitoring equipment and a storage medium, and mainly solves the technical problems that: how to realize the identification of the optical channel in the DWDM system.

To solve the foregoing technical problem, an embodiment of the present invention provides an optical channel identification method, including:

performing convolution processing on the convolution preprocessing signal and the spectrum signal of the monitoring point to obtain a convolution spectrum, wherein the convolution preprocessing signal is obtained by performing first-order differential processing on a pulse signal with a symmetrical waveform, and the time domain width of the pulse signal is matched with the scanning time of one optical channel;

performing second-order difference processing on the convolution spectrum to obtain a second-order difference processing result;

and determining the frequency position of the wave crest and the wave trough by using the symbol of the second-order difference processing result to realize the identification of the optical channel.

An embodiment of the present invention further provides an optical channel recognition apparatus, including:

the processing control module is used for carrying out convolution processing on the convolution preprocessing signal and the spectrum signal of the monitoring point to obtain a convolution spectrum, the convolution preprocessing signal is a pulse signal with symmetrical waveform and is obtained through first-order differential processing, the time domain width of the pulse signal is matched with the scanning time of one optical channel, and the processing control module is also used for carrying out second-order differential processing on the convolution spectrum to obtain a second-order differential processing result; and determining the frequency position of the wave crest and the wave trough by using the symbol of the second-order difference processing result to realize the identification of the optical channel.

The embodiment of the invention also provides optical communication monitoring equipment, which comprises a processor, a memory and a communication bus;

the communication bus is used for realizing connection communication between the processor and the memory;

the processor is configured to execute one or more programs stored in the memory to implement the steps of the optical channel identification method described above.

Embodiments of the present invention further provide a storage medium, where one or more programs are stored, and the one or more programs may be executed by one or more processors to implement the steps of the optical channel identification method.

The invention has the beneficial effects that:

according to the optical channel identification method, the optical channel identification device, the optical communication monitoring equipment and the storage medium, a convolution spectrum is obtained by performing convolution processing on a convolution preprocessing signal and a spectrum signal of a monitoring point, wherein the convolution preprocessing signal is obtained by performing first-order differential processing on a pulse signal with a symmetrical waveform, and the time domain width of the pulse signal is matched with the scanning time of one optical channel. And then, carrying out second-order difference processing on the convolution spectrum to obtain a second-order difference processing result, and determining the frequency position of a peak and a trough by using the symbol of the second-order difference processing result to realize optical channel identification. The optical channel identification scheme provided by the embodiment of the invention does not need to carry out pilot frequency marking when carrying out optical channel identification, so that the transmission performance of the optical channel to the service signal is not influenced. On the other hand, the optical channel identification scheme has low requirement on the spectral resolution of the optical channel monitor, the cost of optical channel identification cannot be increased, and the identification rate of the optical channel in DWDM can be improved on the basis of ensuring low hardware cost. In addition, the optical channel identification scheme provided by the embodiment of the invention is insensitive to chromatic dispersion and nonlinearity and is irrelevant to the modulation code pattern of the service signal, so that the optical channel identification scheme has a wide application scene.

Additional features and corresponding advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.

Drawings

Fig. 1 is a flowchart of an optical channel identification method according to an embodiment of the present invention;

FIG. 2 is a flow chart of acquiring a spectrum signal according to one embodiment of the present invention;

FIG. 3 is a flow chart of a method for generating a convolved preprocessed signal according to an embodiment of the present invention;

fig. 4 is a flowchart of acquiring a convolution spectrum by an optical communication monitoring apparatus according to an embodiment of the present invention;

fig. 5 is a flowchart of second order difference processing on a convolution spectrum by an optical communication monitoring apparatus according to an embodiment of the present invention;

fig. 6 is a schematic structural diagram of an optical channel recognition apparatus according to a second embodiment of the present invention;

fig. 7 is a schematic structural diagram of an optical channel recognition apparatus according to a second embodiment of the present invention;

fig. 8 is a schematic structural diagram of a convolution signal generating module according to a second embodiment of the present invention;

fig. 9 is a schematic structural diagram of an optical channel recognition apparatus according to a third embodiment of the present invention;

fig. 10 is a schematic diagram of a deployment of an optical channel identification apparatus in a DWDM system according to a third embodiment of the present invention;

fig. 11 is a schematic waveform diagram of a spectrum signal collected by the optical channel identification apparatus according to a third embodiment of the present invention;

fig. 12 is a schematic waveform diagram of a convolution spectrum obtained by the optical channel identification apparatus according to the third embodiment of the present invention;

fig. 13 is a schematic waveform diagram of a symbol spectrum obtained by the optical channel recognition apparatus according to a third embodiment of the present invention;

fig. 14 is a schematic hardware structure diagram of an optical communication monitoring device according to a fourth embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention are described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

The first embodiment is as follows:

in DWDM systems, in order to identify the optical channel, the following two typical schemes are provided in the related art:

the first scheme is as follows:

and inserting pilot frequency marks into the service wavelengths at the transmitting end, and identifying different service channels by detecting the pilot frequency at the monitoring point to realize the identification of the optical channel. However, this approach is often susceptible to crosstalk, dispersion and non-linearity of the traffic signal, is difficult to implement in over 100G DWDM systems, and can add additional spectral overhead and even degrade the transmission performance of the optical channel on the traffic signal.

Scheme II:

a digital spectrum sequence is acquired by scanning full-band service through a commercial Optical Channel Monitor (OCM), then the second-order difference of the digital spectrum sequence is calculated, and the wave peak and the wave trough are locked by the root second-order difference calculation result, so that the identification of an Optical Channel is realized. The optical channel identification scheme has high requirements on the spectral resolution of the OCM, but is limited by cost, the commercial OCM is generally low in spectral resolution and difficult to meet the requirements, the identification scheme is sensitive to measurement disturbance and background noise, and when the power difference of adjacent channels in a super-100G DWDM system is large, the identification of a low-power channel is often not accurate enough.

Therefore, in order to accurately identify an optical channel without increasing the cost, this embodiment provides an optical channel identification method, which can be implemented by an optical communication monitoring device, please refer to the flowchart shown in fig. 1:

s102: and carrying out convolution processing on the convolution preprocessing signal and the spectrum signal of the monitoring point to obtain a convolution spectrum.

It is understood that the optical communication monitoring device should acquire the spectrum signal of the monitoring point before performing convolution processing on the convolution preprocessed signal and the spectrum signal. The spectrum signal of the monitoring point is a spectrum signal obtained by processing such as scanning the spectrum of the monitoring point, and the convolution preprocessing signal is actually a convolution kernel convolved with the spectrum signal of the monitoring point and obtained by performing first-order differential processing on the pulse signal, so in this embodiment, the pulse signal and the spectrum signal generating the convolution preprocessing signal have a certain relationship: the time-domain width of the pulse signal matches the scan time for one optical channel when the spectral signal is acquired, for example, in some examples of the present embodiment, the time-domain width of the pulse signal may coincide with the scan time for one optical channel. It is understood that in some other examples of the present embodiment, the time domain width of the pulse signal may be 0.5-2 times the scanning time of one optical channel. On the other hand, by convolving the convolution preprocessing signal with the spectrum signal of the detection point, the background noise in the spectrum signal can be reduced, and therefore, in the present embodiment, the pulse signal is a signal whose waveform is symmetrical, for example, a signal whose waveform resembles a "bell". In some examples of the present embodiment, the pulse signal may be a gaussian pulse signal.

The optical communication monitoring equipment can scan the spectrum of the monitoring point so as to acquire the spectrum signal of the monitoring point. This process is explained below in conjunction with the flowchart for acquiring a spectral signal shown in fig. 2:

s202: and scanning the full-wave-band spectrum of the monitoring point according to different central frequencies.

In this embodiment, the optical communication monitoring device can scan the full-band spectrum of the monitoring point at different center frequencies. Assuming that the scanning spectrum range is 1573-1523 nm, the scanning step length is 0.01nm, and the total number of scanning points (1573-)/0.01 +1 is 5001, scanning is generally started from the center wavelength of 1573nm, that is, the center wavelength of the tunable optical filter is tuned to 1573nm, light near 1573nm is separately filtered out and the power of the light is detected, such a power point forms a one-to-one correspondence relationship with one center wavelength of the tunable optical filter, until the center wavelength of the tunable optical filter is tuned to 1523nm and the corresponding power is detected, the whole spectrum scanning is not completed.

Taking an example of scanning at a certain center frequency:

and scanning the full-waveband spectrum of the monitoring point according to the central frequency, detecting the optical power corresponding to the central frequency through a photoelectric detector, performing photoelectric conversion to obtain an analog optical power signal, and converting the analog optical power signal into a digital optical power signal. The digital optical power signal can be combined with the optical power signal obtained by scanning according to the central frequency of other optical channels to obtain the DWDM spectrum corresponding to the monitoring point.

S204: and combining the optical power signals obtained by scanning under different central frequencies to obtain a time domain spectrum.

After each scanning, an optical power signal corresponding to a central frequency is acquired, and the optical communication monitoring equipment can combine the optical power signals acquired by each scanning, so that a complete DWDM spectrum corresponding to a full-band spectrum is acquired.

It will be appreciated that the DWDM spectrum is a time domain spectrum, since it is derived from the scanning measurements of the optical communication monitoring device at different times.

In some examples of the present embodiment, after converting the analog optical power signal into the digital optical power signal, the digital optical power signal may be subjected to an amplitude averaging process, and then the optical power signal after the amplitude averaging process may be used as a basis for obtaining the DWDM spectrum.

S206: and converting the time domain spectrum into a frequency domain to obtain a spectrum signal.

Therefore, after obtaining the time domain spectrum, the optical communication monitoring device may convert the time domain spectrum to the frequency domain, thereby obtaining a spectrum signal that can be used for convolution operation. Alternatively, the optical communication monitoring device may convert the time unit into the frequency unit according to the existing relation, thereby obtaining the spectral signal of the frequency domain.

The following describes a process of acquiring a convolution pre-processed signal by an optical communication monitoring device with reference to a flowchart shown in fig. 3, assuming that a pulse signal used for generating the convolution pre-processed signal is a gaussian pulse signal:

s302: the gaussian pulse signal is generated while scanning the spectrum of the monitored spot.

In some examples of the present embodiment, the optical communication monitoring apparatus may acquire the convolution pre-processed signal at the same time as acquiring the spectrum signal of the monitoring point, and thus, the optical communication monitoring apparatus may generate the gaussian pulse signal while scanning the spectrum of the monitoring point.

S304: and performing first-order differential processing on the Gaussian pulse signal to obtain a convolution preprocessing signal.

After the gaussian pulse signal is generated, the gaussian pulse signal may be subjected to first order differential processing, thereby obtaining a convolution pre-processed signal.

It is understood that, since the generated gaussian pulse signal is an analog signal, if the gaussian pulse signal is not analog-to-digital converted, the obtained convolution pre-processed signal should also be a mode signal, and in order to perform convolution operation processing with the digital spectrum signal, the optical communication monitoring device may also analog-to-digital convert the analog convolution pre-processed signal to obtain a digital convolution pre-processed signal.

After the convolution preprocessing signal and the spectrum signal of the monitoring point are obtained, the optical communication monitoring device can perform convolution processing on the convolution preprocessing signal and the spectrum signal of the monitoring point to obtain a convolution spectrum. The following explains the process of acquiring the convolution spectrum by the optical communication monitoring device, please refer to the flowchart shown in fig. 4:

s402: and carrying out convolution processing on the spectrum signal and the convolution preprocessing signal to obtain an intermediate convolution result.

The optical communication monitoring device may determine the intermediate convolution result with reference to the following formula.

Wherein S is₁As a result of the intermediate convolution, S₀Is the spectral signal of the monitoring point,for convolution of the preprocessed signal, n is the intermediate convolution result S₁I is the spectral signal S₀A serial number variable of (2).

S404: and performing convolution processing on the intermediate convolution result and the convolution preprocessing signal again to obtain a convolution spectrum.

And after the intermediate convolution result is obtained, the optical communication monitoring equipment performs convolution processing on the intermediate convolution result and the convolution preprocessing signal again. A convolution spectrum is thus obtained, see the following equation:

wherein S is₂Is a convolved spectrum.

S104: and carrying out second-order difference processing on the convolution spectrum to obtain a second-order difference processing result.

After obtaining the convolution spectrum, the optical communication monitoring device may perform second order difference processing on the device to obtain a second order difference processing result, which is described below with reference to the flowchart shown in fig. 5:

s502: and performing first-order difference processing on the convolution spectrum.

After the convolution spectrum is obtained, the optical communication monitoring equipment firstly carries out first-order difference processing on the convolution spectrum, wherein the first-order difference processing result is as follows:

wherein the content of the first and second substances,is the first order difference sequence, namely the first order difference processing result of the convolution spectrum.

S504: and calculating a sign function sequence of the first-order difference processing result.

Then, the optical communication monitoring device performs conversion calculation on the first-order difference processing result to determine a corresponding symbol function sequence, wherein the symbol function sequence of the first-order difference processing result satisfies the following formula:

wherein, SF is a sign function sequence of the first order difference processing result.

S506: and performing first-order difference processing on the symbol function sequence to obtain a second-order difference processing result corresponding to the convolution spectrum.

After the symbol function sequence of the first-order difference processing result is obtained, the optical communication monitoring device performs the first-order difference processing on the symbol function sequence again, so as to obtain the first-order difference processing result of the symbol function sequence, that is, the second-order difference processing result of the convolution spectrum:

is the first order difference sequence of the sign function sequence SF, i.e. the second order difference processing result of the convolution spectrum.

S106: and determining the frequency position of the wave crest and the wave trough by using the symbol of the second-order difference processing result to realize the identification of the optical channel.

After the second-order difference processing result of the convolution spectrum is obtained, the optical communication monitoring equipment can determine the positions of wave crests and wave troughs of all waves in the spectrum signal according to the signs of the second-order difference processing result, and further the identification of the optical channel is achieved. It will be appreciated that each light channel may be defined by a peak plus two adjacent left and right troughs.

According toThe sign of the value can determine whether a position is a peak or a trough: if it is notIs negative in sign, i.e.If the position is less than zero, the corresponding position is judged to be a wave crest; if it is notIs positive, i.e.And if the position is larger than zero, the corresponding position is judged to be a trough.

According to the optical channel identification method provided by the embodiment, the spectrum signal of the monitoring point and the convolution preprocessing signal are subjected to convolution processing, so that the suppression of background noise and measurement jitter can be realized, the spectrum resolution can be improved on the basis that the OCM hardware cost is not increased, and the optical channel identification effect is enhanced.

Moreover, the optical channel identification method provided by this embodiment continues to use a mode of collecting the full-band spectrum of the monitoring point, supports flexible grid configuration of the DWDM system, is insensitive to chromatic dispersion and nonlinearity, is independent of the modulation code pattern of the service signal, and does not affect the transmission performance of the service signal.

Example two:

the present embodiment provides an optical channel identification apparatus, which can be deployed on an optical communication monitoring device, please refer to fig. 6:

the optical channel identifying device 60 includes a processing control module 600, which is configured to perform convolution processing on the spectrum signal and the convolution preprocessing signal to obtain a convolution spectrum, and then perform second-order difference processing on the convolution spectrum to obtain a second-order difference processing result; and determining the frequency position of the wave crest and the wave trough by using the symbol of the second-order difference processing result to realize the identification of the optical channel. The convolution preprocessing signal is obtained by first-order differential processing of a pulse signal with symmetrical waveform, and the time domain width of the pulse signal is matched with the scanning time of one optical channel. The spectrum signal is a spectrum signal obtained by processing such as scanning the spectrum of the monitoring point.

It will be appreciated that the process control module 600 should acquire the spectral signals of the monitoring points before convolving the convolved preprocessed signals with the spectral signals. In some examples of this embodiment, please refer to a schematic structural diagram of the optical channel recognition apparatus shown in fig. 7:

the optical channel identification device 60 includes a spectrum scanning module 602 and a convolution signal generation module 604, wherein the spectrum scanning module 602 may scan the spectrum of the monitoring point, so as to obtain the spectrum signal of the monitoring point.

In this embodiment, the spectrum scanning module 602 may scan the full-band spectrum of the monitored point according to different center frequencies. Assuming that the scanning spectrum range is 1573-1523 nm, the scanning step length is 0.01nm, and the total scanning points (1573-1523)/0.01+1 is 5001, the general spectrum scanning module 602 starts scanning from the center wavelength of 1573nm, that is, the center wavelength of the tunable optical filter is tuned to 1573nm, and then the light near 1573nm is separately filtered out and the power of the light is detected, such a power point forms a one-to-one correspondence relationship with a center wavelength of the tunable optical filter, until the center wavelength of the tunable optical filter is tuned to 1523nm to detect the corresponding power, the whole spectrum scanning is not completed.

Taking the scanning according to the center frequency of a certain optical channel to be identified as an example:

the spectrum scanning module 602 scans the full-band spectrum of the monitoring point according to the center frequency, detects the optical power corresponding to the center frequency through the photodetector, performs photoelectric conversion to obtain an analog optical power signal, and then converts the analog optical power signal into a digital optical power signal. The digital optical power signal can be combined with the optical power signal obtained by scanning according to the central frequency of other optical channels to obtain the DWDM spectrum corresponding to the monitoring point.

After each scanning, the spectrum scanning module 602 acquires an optical power signal corresponding to a center frequency, and the spectrum scanning module 602 may combine the optical power signals obtained by each scanning, so as to obtain a complete DWDM spectrum corresponding to a full-band spectrum. It will be appreciated that the DWDM spectrum is a time domain spectrum, since it is derived from the scan detection results of the spectrum scan module 602 at different times. Therefore, after obtaining the time domain spectrum, the spectrum scanning module 602 may convert the time domain spectrum to the frequency domain, thereby obtaining a spectrum signal that can be used for convolution operation. Alternatively, the spectrum scanning module 602 may convert the time unit into the frequency unit according to the current relationship, so as to obtain the spectrum signal of the frequency domain.

In some examples of this embodiment, after converting the analog optical power signal into a digital optical power signal, the spectrum scanning module 602 may perform an amplitude averaging process on the digital optical power signal, and then use the optical power signal after the amplitude averaging process as a basis for obtaining a DWDM spectrum.

The convolution signal generation module 604 is configured to generate a convolution pre-processing signal, where the convolution pre-processing signal is a convolution kernel that is actually convolved with the spectrum signal of the monitoring point, and is obtained by performing first-order differential processing on the pulse signal, so in this embodiment, the pulse signal and the spectrum signal that generate the convolution pre-processing signal have a certain relationship: the time-domain width of the pulse signal matches the scan time for one optical channel when the spectral signal is acquired, for example, in some examples of the present embodiment, the time-domain width of the pulse signal may coincide with the scan time for one optical channel. It is understood that in some other examples of the present embodiment, the time domain width of the pulse signal may be 0.5-2 times the scanning time of one optical channel. On the other hand, by convolving the convolution preprocessing signal with the spectrum signal of the detection point, the background noise in the spectrum signal can be reduced, and therefore, in the present embodiment, the pulse signal is a signal whose waveform is symmetrical, for example, a signal whose waveform resembles a "bell". In some examples of the present embodiment, the pulse signal may be a gaussian pulse signal.

Assuming that the pulse signal used to generate the convolved preprocessed signal is a gaussian pulse signal:

please refer to fig. 8, which illustrates a schematic structural diagram of the convolution signal generating module 604: the convolution signal generation module 604 includes a pulse generation module 6041 and a differential processing module 6042. While the spectrum scanning module 602 scans the spectrum of the monitoring point, the processing control module 600 generates a pulse generation instruction, sends the change regeneration instruction to the pulse generation module 6041, allows the pulse generation module 6041 to generate a gaussian pulse signal according to the pulse generation instruction, and then the differential processing module 6042 performs first-order differential processing on the gaussian pulse signal generated by the pulse generation module 6041 to obtain a convolution preprocessing signal.

It is understood that, since the gaussian pulse signal generated by the convolution signal generation module 604 is an analog signal, if the gaussian pulse signal is not analog-to-digital converted, the obtained convolution pre-processed signal should also be a mode signal, and in order to perform convolution operation processing with the digital spectrum signal, the convolution signal generation module 604 performs analog-to-digital conversion on the analog convolution pre-processed signal to obtain a digital convolution pre-processed signal.

After obtaining the convolution pre-processing signal and the spectrum signal of the monitoring point, the processing control module 600 may perform convolution processing on the convolution pre-processing signal and the spectrum signal of the monitoring point to obtain a convolution spectrum:

the processing control module 600 performs convolution processing on the spectrum signal and the convolution preprocessing signal to obtain an intermediate convolution result. Alternatively, the process control module 600 may determine the intermediate convolution result with reference to the following equation.

Wherein S is₁As a result of the intermediate convolution, S₀Is the spectral signal of the monitoring point,for convolution of the preprocessed signal, n is the intermediate convolution result S₁I is the spectral signal S₀A serial number variable of (2).

After obtaining the intermediate convolution result, the process control module 600 performs convolution processing on the intermediate convolution result and the convolution pre-processed signal again. A convolution spectrum is thus obtained, see the following equation:

wherein S is₂Is a convolved spectrum.

After obtaining the convolution spectrum, the processing control module 600 may perform second-order difference processing on the device to obtain a second-order difference processing result:

after the convolution spectrum is obtained, the processing control module 600 performs first-order difference processing on the convolution spectrum, where the first-order difference processing result is as follows:

wherein the content of the first and second substances,is the first order difference sequence, namely the first order difference processing result of the convolution spectrum.

Subsequently, the processing control module 600 performs conversion calculation on the first-order difference processing result to determine a corresponding symbol function sequence, where the symbol function sequence of the first-order difference processing result satisfies the following formula:

wherein, SF is a sign function sequence of the first order difference processing result.

After the symbol function sequence of the first-order difference processing result is obtained, the processing control module 600 performs the first-order difference processing on the symbol function sequence again, so as to obtain the first-order difference processing result of the symbol function sequence, that is, the second-order difference processing result of the convolution spectrum:

is the first order difference sequence of the sign function sequence SF, i.e. the second order difference processing result of the convolution spectrum.

After the second-order difference processing result of the convolution spectrum is obtained, the processing control module 600 may determine the peak and trough positions of each wave in the spectrum signal according to the sign of the second-order difference processing result, so as to identify the optical channel. It will be appreciated that each light channel may be defined by a peak plus two adjacent left and right troughs.

According toThe sign of the value can determine whether a position is a peak or a trough: if it is notIs negative in sign, i.e.If the position is less than zero, the corresponding position is judged to be a wave crest; if it is notIs positive, i.e.And if the position is larger than zero, the corresponding position is judged to be a trough.

In this embodiment, the function of the processing control module 600 may be implemented by a processor, the function of the spectrum scanning module 602 may be implemented by an adjustable optical filter, a photodetector and an analog-to-digital conversion module, and the function of the convolution signal generating module 604 may be implemented by a pulse generating module, a first-order differential module and an analog-to-digital conversion module.

The optical channel identification device provided by this embodiment performs convolution processing on the spectrum signal of the monitoring point and the convolution preprocessing signal, and can suppress background noise and measurement jitter, so that the spectrum resolution can be improved and the optical channel identification effect can be enhanced on the basis that the cost of the OCM hardware is not increased.

Moreover, the optical channel recognition device provided by this embodiment continues to use a mode of collecting a full-band spectrum of a monitoring point, supports flexible grid configuration of a DWDM system, is insensitive to chromatic dispersion and nonlinearity, is independent of a traffic signal modulation code pattern, and does not affect transmission performance of a traffic signal.

Example three:

in order to make the advantages and details of the foregoing optical channel identification scheme (including the optical channel identification method and apparatus) more clear to those skilled in the art, the present embodiment will be described with reference to the following examples, which take the optical channel identification in a 400G DWDM system as an example:

first, please refer to an optical channel recognition apparatus provided in this embodiment, please refer to fig. 9:

the optical channel identification device 90 includes a processing control module 900, an adjustable optical filtering module 911, a photodetection module 912, a pulse generation module 921, a first-order differentiation module 922, and an analog-to-digital conversion module 930.

The optical channel identifying apparatus 90 may be deployed on an optical communication monitoring device, and may be applied to the DWDM system shown in fig. 10, and performs optical channel identification on an optical signal split by the monitoring point 100 of the optical amplifier in the optical fiber transmission link, so as to implement the foregoing optical channel identifying method:

in the first step, the optical channel recognition device 90 completes the scanning acquisition of the spectrum signal of the monitoring point and the generation of the convolution preprocessing signal.

Optionally, the processing control module 900 sends a spectrum scanning signal to the tunable optical filter module 911, so that the tunable optical filter module 911 scans the full-band spectrum of the monitoring point according to different center frequencies. The photo detection module 912 is responsible for detecting optical powers corresponding to different center frequency points to complete photo-electric conversion, and the analog-to-digital conversion module 930 converts the detected optical power signals into digital signals and transmits the digitized optical power signals to the processing control module 900. The processing control module 900 performs amplitude averaging on the digitized optical power signals, and splices the scanned optical power signals corresponding to different center frequency points together to obtain a complete DWDM spectrum. Since the tunable optical filter module 911 measures the optical power corresponding to different center frequencies separately to different time points, the time domain waveform is collected finally, and therefore, the processing control module 900 needs to convert the time unit into the frequency unit according to the linear relationship to obtain the frequency domain waveform, that is, the spectral signal of the frequency domain.

When the processing control module 900 sends a spectrum scanning signal to the tunable optical filter module 911 to enable the tunable optical filter module 911 to perform spectrum scanning, the processing control module 900 also sends a pulse generation instruction to the pulse generation module 921 to enable the pulse generation module 921 to generate a gaussian pulse signal with an appropriate pulse width, where a time domain width of the gaussian pulse signal generated by the pulse generation module 921 is equivalent to a scanning time of the tunable optical filter module 911 for one optical channel, for example, in some examples of this embodiment, the time domain width of the gaussian pulse signal may be 0.5 times of the scanning time of the tunable optical filter module 911 for one optical channel, and in some examples of this embodiment, the time domain width of the gaussian pulse signal may be twice of the scanning time of the tunable optical filter module 911 for one optical channel. Of course, in some examples, the temporal width of the gaussian pulse signal is equal to the scan time for one optical channel. The gaussian pulse signal generated by the pulse generation module 921 enters the first-order differentiation module 922 to complete the first-order differentiation operation to obtain an analog convolution pre-processing signal, and finally the analog-to-digital conversion module 930 converts the convolution pre-processing signal into a digital signal and transmits the digital signal to the processing control module 900.

In this embodiment, the tunable optical filter module 911 collects 1024 points of the spectrum, the frequency interval is 4.88GHz, and the 3dB bandwidth of the filter of the tunable optical filter module 911 is 25 GHz. Fig. 11 is a collected 400G DP-16QAM full-band spectral signal of a 56-wave 75GHz grid, where 193.1THz wavelength service optical power is 15dB less than that of an adjacent channel, limited by the frequency bandwidth of the tunable filter module 911, the low-power channel cannot be distinguished from the collected spectral signal, and at this time, the channel cannot be directly identified by calculating a second-order difference. Therefore, the optical channel identifying device 90 performs:

secondly, the optical channel recognition device 90 performs convolution processing and second-order difference processing on the collected monitoring point spectrum signal and the generated convolution preprocessing signal:

the convolution processing process comprises two steps: the processing control module 900 calculates a convolution result of the acquired spectral signal and the convolution preprocessing sequence as an intermediate convolution result; and then calculating the convolution of the intermediate convolution result of the previous step and the convolution preprocessing sequence:

the processing control module 900 collects the spectrum signal S₀With convolution of the preprocessed signalConvolution is performed, and the calculation is as follows:

wherein S is₁As a result of the intermediate convolution, S₀Is the spectral signal of the monitoring point,the signal is preprocessed for convolution.

After obtaining the intermediate convolution result, the process control module 900 performs convolution processing on the intermediate convolution result and the convolution preprocessing signal again. A convolution spectrum is thus obtained, see the following equation:

wherein S is₂Is a convolved spectrum.

For the spectral signal in fig. 11, the convolution spectrum shown in fig. 12, from which the peak at 193.1THz frequency is clearly seen, can be obtained by convolution processing with the convolution preprocessed signal.

The second order difference processing process performed by the processing control module 900 includes three steps: calculating a first order difference sequence of the convolution spectrum; calculating a sign function sequence of the first-order difference sequence; a first order difference sequence of the sequence of sign functions is calculated. The method specifically comprises the following steps:

the first order difference sequence of the convolved preprocessed spectrum is calculated as follows:

wherein the content of the first and second substances,is the first order difference sequence, namely the first order difference processing result of the convolution spectrum.

The sequence of sign functions of the first order difference sequence satisfies the following formula:

wherein, SF is a sign function sequence of the first order difference processing result.

The first order difference sequence of the sequence of sign functions is calculated as follows:

is the first order difference sequence of the sign function sequence SF, i.e. the second order difference processing result of the convolution spectrum.

The peak-to-valley position is determined by the sign change of the first order difference sequence of the sign function sequence, i.e. by the sign of the second order difference result of the convolution spectrum: if it is notIs negative in sign, i.e.If the position is less than zero, the corresponding position is judged to be a wave crest; if it is notIs positive, i.e.And if the position is larger than zero, the corresponding position is judged to be a trough.

After the second-order difference processing is performed, accurate identification of all 56 wavelength channels including the low-power channel can be completed, and the second-order difference processing result (i.e., the relationship between the symbol spectrum and the frequency) is shown in fig. 13. In fig. 13, isolated positive and negative peak troughs corresponding to the optical channel frequencies can be seen. Wherein positive values correspond to troughs and negative values correspond to peaks.

The optical channel identification scheme provided by the embodiment does not affect service signals, is hardly affected by chromatic dispersion and nonlinearity, and can overcome the problems that the identification of a low-power channel is not accurate when the spectral resolution is low and the power difference of adjacent channels is large in an ultra-100G DWDM system.

Example four:

in this embodiment, the storage medium may store an optical channel identification program, and the optical channel identification program may be used by the one or more processors to execute a process for implementing any one of the optical channel identification methods described in the foregoing embodiments.

In addition, the present embodiment provides an optical communication monitoring apparatus, as shown in fig. 14: the optical communication monitoring device 140 includes a processor 141, a memory 142, and a communication bus 143 for connecting the processor 141 and the memory 142, wherein the memory 142 may be the aforementioned storage medium storing the optical channel identification program. The processor 141 may read the optical channel identification program, compile and execute the procedures of implementing the optical channel identification method described in the foregoing embodiments:

the processor 141 performs convolution processing on the convolution preprocessing signal and the spectrum signal of the monitoring point to obtain a convolution spectrum, the convolution preprocessing signal is obtained by performing first-order differential processing on a pulse signal with a symmetrical waveform, and the time domain width of the pulse signal is matched with the scanning time of one optical channel. After obtaining the convolution spectrum, the processor 141 performs second order difference processing on the convolution spectrum to obtain a second order difference processing result, and determines the frequency position of the peak and the trough by using the symbol of the second order difference processing result to realize optical channel identification.

In an example of the embodiment, the pulse signal is a gaussian pulse signal, and before the convolution preprocessing signal is convolved with the spectrum signal of the monitoring point to obtain a convolution spectrum, the processor 141 scans the spectrum of the monitoring point and generates the gaussian pulse signal, and then performs first-order differential processing on the gaussian pulse signal to obtain the convolution preprocessing signal.

Optionally, the time domain width of the pulse signal is 0.5-2 times of the scanning time of one optical channel.

In an example of this embodiment, before the convolution preprocessing signal and the spectrum signal of the monitoring point are convolved to obtain a convolution spectrum, the processor 141 further scans the full-band spectrum of the monitoring point according to the center frequency of each optical channel to be identified, then combines the optical power signals obtained by each scanning to obtain a time-domain spectrum, and converts the time-domain spectrum into a frequency domain to obtain a spectrum signal.

Optionally, for a certain optical channel to be identified, the processor 141 scans the full-band spectrum of the monitoring point according to different center frequencies, detects the optical power corresponding to the center frequency, performs photoelectric conversion to obtain an analog optical power signal, and then converts the analog optical power signal into a digital optical power signal.

It can be understood that, when the processor 141 performs convolution processing on the convolution preprocessed signal and the spectrum signal of the monitoring point to obtain the convolution spectrum, the spectrum signal and the convolution preprocessed signal may be subjected to convolution processing to obtain an intermediate convolution result, and then the intermediate convolution result and the convolution preprocessed signal are subjected to convolution processing again to obtain the convolution spectrum.

Optionally, when the processor 141 performs second-order difference processing on the convolution spectrum to obtain a second-order difference processing result, first-order difference processing may be performed on the convolution spectrum, then a symbol function sequence of the first-order difference processing result is calculated, and then first-order difference processing may be performed on the symbol function sequence to obtain a second-order difference processing result corresponding to the convolution spectrum.

For other details of the method for implementing optical channel identification by the optical communication monitoring device, please refer to the description of the foregoing embodiments, which are not described herein again.

The optical communication monitoring device provided by this embodiment performs convolution processing on the spectrum signal of the monitoring point and the convolution preprocessing signal, and can suppress background noise and measurement jitter, so that the spectrum resolution can be improved and the optical channel identification effect can be enhanced on the basis that the hardware cost of the OCM is not increased. Moreover, because the full-band spectrum of the monitoring point is scanned and detected, the optical communication monitoring equipment supports the flexible grid configuration of a DWDM system, is insensitive to chromatic dispersion and nonlinearity, is independent of a service signal modulation code pattern, and cannot influence the transmission performance of a service signal.

It is to be understood that features of the various embodiments of the invention may be used in combination without conflict.

It will be apparent to those skilled in the art that all or some of the steps of the methods, systems, functional modules/units in the devices disclosed above may be implemented as software (which may be implemented in program code executable by a computing device), firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed by several physical components in cooperation. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed over computer-readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media), executed by a computing device, and in some cases may perform the steps shown or described in a different order than here. The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art. Thus, the present invention is not limited to any specific combination of hardware and software.

The foregoing is a more detailed description of embodiments of the present invention, and the present invention is not to be considered limited to such descriptions. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.