阅读说明：本技术 一种信道监测方法、解调方法、装置、设备及存储介质 (Channel monitoring method, demodulation method, device, equipment and storage medium ) 是由 孙林 吕超 于 2021-07-29 设计创作，主要内容包括：本发明涉及信道监测技术领域,具体是涉及一种信道监测方法、解调方法、装置、设备及存储介质。本发明通过采集信道中传输的样本信号,并对样本信号应用线性光采样算法进行降频处理,将降频之后的样本信号输入到硬件电路中,硬件电路对降频之后的样本信号进行处理,得到针对降频之后的样本信号的输出结果,根据输出结果能够得到信道的性能。本发明先对样本信号进行降频,之所以对样本信号进行降频是为了使降频之后的样本信号与硬件电路的带宽所匹配,从而避免了因硬件电路的带宽与样本信号的频率不匹配所导致的样本信号发生畸变,进而使得本申请能够提高获取到的信道性能的准确度。(The present invention relates to the field of channel monitoring technologies, and in particular, to a channel monitoring method, a demodulation method, an apparatus, a device, and a storage medium. The invention acquires the sample signal transmitted in the channel, applies the linear optical sampling algorithm to the sample signal for frequency reduction processing, inputs the sample signal after frequency reduction into the hardware circuit, and the hardware circuit processes the sample signal after frequency reduction to obtain the output result aiming at the sample signal after frequency reduction, and can obtain the performance of the channel according to the output result. According to the invention, the sample signal is subjected to frequency reduction firstly, so that the frequency reduction of the sample signal is performed to match the sample signal subjected to frequency reduction with the bandwidth of a hardware circuit, thereby avoiding the distortion of the sample signal caused by the mismatch of the bandwidth of the hardware circuit and the frequency of the sample signal, and further improving the accuracy of the acquired channel performance.)

1. A method for channel monitoring, the method comprising:

acquiring a sample signal transmitted in a channel;

applying a linear light sampling algorithm to the sample signal to perform frequency reduction processing to obtain the sample signal subjected to frequency reduction;

inputting the sample signal after frequency reduction to a hardware circuit, wherein the hardware circuit is used for processing the sample signal after frequency reduction;

and obtaining a channel monitoring result according to the output result of the hardware circuit, wherein the channel monitoring result is used for reflecting the channel performance.

2. The channel monitoring method according to claim 1, wherein said applying a linear optical sampling algorithm to the sample signal for frequency reduction processing to obtain the sample signal after frequency reduction comprises:

obtaining a valid signal in the sample signal;

obtaining a signal bandwidth corresponding to the effective signal according to the effective signal;

adjusting the sampling frequency of the linear optical sampling algorithm according to the signal bandwidth, wherein the adjusted sampling frequency is matched with the signal bandwidth;

and performing frequency reduction processing on the effective signal according to the linear optical sampling algorithm after the sampling frequency is adjusted to obtain the effective signal after frequency reduction.

3. The channel monitoring method of claim 1, wherein the inputting the sample signal after down-conversion to a hardware circuit for processing the sample signal after down-conversion comprises:

obtaining a signal constellation diagram corresponding to the sample signal after frequency reduction according to the sample signal after frequency reduction;

and performing probability estimation on the signal constellation diagram according to a Gaussian mixture model algorithm carried by the hardware circuit to obtain a probability distribution diagram corresponding to the sample signal.

4. The channel monitoring method of claim 3, wherein obtaining a channel monitoring result according to an output result of the hardware circuit, the channel monitoring result being used for reflecting channel performance, comprises:

and obtaining noise information in the channel monitoring result according to the probability distribution map in the output result.

5. The channel monitoring method of claim 4, wherein the obtaining noise information in the channel monitoring result according to the probability distribution map in the output result comprises:

and when the probability distribution map is a three-dimensional map and the full width at half maximum of the probability distribution map of the three-dimensional map is larger than a set value, obtaining that the noise information is intensity noise.

6. The channel monitoring method of claim 1, wherein the channel monitoring method further comprises:

acquiring a signal transmitted by a first optical transmitter, the first optical transmitter being located inside the channel;

acquiring a signal transmitted by a second optical transmitter, the second optical transmitter being located outside the channel, the second optical transmitter being matched to the first optical transmitter;

obtaining frequency offset information corresponding to the signal transmitted by the first optical transmitter according to the signal transmitted by the second optical transmitter and the signal transmitted by the first optical transmitter;

and obtaining the temperature information in the channel according to the frequency offset information.

7. A method for demodulating a signal, comprising:

acquiring an output signal of a channel and the performance of the channel, wherein the performance of the channel is acquired by applying a linear optical sampling algorithm to a sample signal in the channel to perform frequency reduction processing;

and demodulating the output signal according to the performance of the channel to obtain an input signal of the channel corresponding to the output signal.

8. An apparatus of a channel monitoring method, the apparatus comprising:

the signal acquisition module is used for acquiring a sample signal transmitted in a channel;

the signal frequency reduction module is used for applying a linear optical sampling algorithm to the sample signal to carry out frequency reduction processing to obtain the sample signal subjected to frequency reduction;

the signal processing module is used for inputting the sample signal subjected to frequency reduction into a hardware circuit, and the hardware circuit is used for processing the sample signal subjected to frequency reduction;

and the channel performance acquisition module is used for acquiring a channel monitoring result according to the output result of the hardware circuit, and the channel monitoring result is used for reflecting the channel performance.

9. A terminal device, characterized in that the terminal device comprises a memory, a processor and a program of a channel monitoring method stored in the memory and operable on the processor, and the processor implements the steps of the channel monitoring method according to any one of claims 1 to 6 when executing the channel monitoring method.

10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a channel monitoring method program which, when executed by a processor, implements the steps of the channel monitoring method according to any one of claims 1 to 6.

Technical Field

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

Background

The performance of the channel is known by collecting and analyzing the signals transmitted in the channel. The frequency of a signal transmitted in an existing channel is large, and the bandwidth of a hardware circuit for processing the signal is not enough to be suitable for processing the signal with the large frequency, that is, the frequency of the signal is not matched with the bandwidth of the hardware circuit for processing the signal, so that the processing of the signal by the hardware circuit is affected, the processing result of the signal by the hardware circuit is not enough to reflect the performance of the channel, and the accuracy of acquiring the performance of the channel through the signal in the channel is reduced.

In summary, the channel performance obtained by the prior art is lower in accuracy.

Thus, there is a need for improvements and enhancements in the art.

Disclosure of Invention

In order to solve the technical problems, the invention provides a channel monitoring method, a demodulation method, a device, equipment and a storage medium, and solves the problem of low accuracy of channel performance acquired in the prior art.

In order to achieve the purpose, the invention adopts the following technical scheme:

in a first aspect, the present invention provides a channel monitoring method, where the channel monitoring method includes:

acquiring a sample signal transmitted in a channel;

applying a linear light sampling algorithm to the sample signal to perform frequency reduction processing to obtain the sample signal subjected to frequency reduction;

inputting the sample signal after frequency reduction to a hardware circuit, wherein the hardware circuit is used for processing the sample signal after frequency reduction;

and obtaining a channel monitoring result according to the output result of the hardware circuit, wherein the channel monitoring result is used for reflecting the channel performance.

In one implementation, the applying a linear optical sampling algorithm to the sample signal to perform frequency reduction processing to obtain the sample signal after frequency reduction includes:

obtaining a valid signal in the sample signal;

obtaining a signal bandwidth corresponding to the effective signal according to the effective signal;

adjusting the sampling frequency of the linear optical sampling algorithm according to the signal bandwidth, wherein the adjusted sampling frequency is matched with the signal bandwidth;

and performing frequency reduction processing on the effective signal according to the linear optical sampling algorithm after the sampling frequency is adjusted to obtain the effective signal after frequency reduction.

In one implementation, the inputting the sample signal after down-conversion to a hardware circuit, the hardware circuit being configured to process the sample signal after down-conversion, includes:

obtaining a signal constellation diagram corresponding to the sample signal after frequency reduction according to the sample signal after frequency reduction;

and performing probability estimation on the signal constellation diagram according to a Gaussian mixture model algorithm carried by the hardware circuit to obtain a probability distribution diagram corresponding to the sample signal.

In one implementation, obtaining a channel monitoring result according to an output result of the hardware circuit, where the channel monitoring result is used for reflecting channel performance, includes:

and obtaining noise information in the channel monitoring result according to the probability distribution map in the output result.

In one implementation, the obtaining noise information in the channel monitoring result according to the probability distribution map in the output result includes:

and when the probability distribution map is a three-dimensional map and the full width at half maximum of the probability distribution map of the three-dimensional map is larger than a set value, obtaining that the noise information is intensity noise.

In one implementation, the channel monitoring method further includes:

acquiring a signal transmitted by a first optical transmitter, the first optical transmitter being located inside the channel;

acquiring a signal transmitted by a second optical transmitter, the second optical transmitter being located outside the channel, the second optical transmitter being matched to the first optical transmitter;

obtaining frequency offset information corresponding to the signal transmitted by the first optical transmitter according to the signal transmitted by the second optical transmitter and the signal transmitted by the first optical transmitter;

and obtaining the temperature information in the channel according to the frequency offset information.

In a second aspect, an embodiment of the present invention further provides a signal demodulation method, where the method includes:

acquiring an output signal of a channel and the performance of the channel, wherein the performance of the channel is acquired by applying a linear optical sampling algorithm to the sample signal in the channel to perform frequency reduction processing;

and demodulating the output signal according to the performance of the channel to obtain an input signal of the channel corresponding to the output signal.

In a third aspect, an embodiment of the present invention further provides a device for a channel monitoring method, where the device includes the following components:

the signal acquisition module is used for acquiring a sample signal transmitted in a channel;

the signal frequency reduction module is used for applying a linear optical sampling algorithm to the sample signal to carry out frequency reduction processing to obtain the sample signal subjected to frequency reduction;

the signal processing module is used for inputting the sample signal subjected to frequency reduction into a hardware circuit, and the hardware circuit is used for processing the sample signal subjected to frequency reduction;

and the channel performance acquisition module is used for acquiring a channel monitoring result according to the output result of the hardware circuit, and the channel monitoring result is used for reflecting the channel performance.

In a fourth aspect, an embodiment of the present invention further provides a terminal device, where the terminal device includes a memory, a processor, and a program of a channel monitoring method that is stored in the memory and is executable on the processor, and when the processor executes the channel monitoring method, the steps of the channel monitoring method are implemented.

In a fifth aspect, an embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium stores a channel monitoring method program, and when the channel monitoring method program is executed by a processor, the method implements the steps of the channel monitoring method described above.

Has the advantages that: the invention acquires the sample signal transmitted in the channel, applies the linear optical sampling algorithm to the sample signal for frequency reduction processing, inputs the sample signal after frequency reduction into the hardware circuit, and the hardware circuit processes the sample signal after frequency reduction to obtain the output result aiming at the sample signal after frequency reduction, and can obtain the performance of the channel according to the output result.

According to the invention, the sample signal is subjected to frequency reduction firstly, so that the frequency reduction of the sample signal is carried out to match the sample signal subjected to frequency reduction with the bandwidth of a hardware circuit, thereby avoiding the distortion of the sample signal caused by the mismatching of the bandwidth of the hardware circuit and the frequency of the sample signal, and further avoiding the problem that the output result of the hardware circuit is not enough to accurately reflect the channel performance due to the distortion of the sample signal.

To sum up, the accuracy of the acquired channel performance can be improved.

Drawings

FIG. 1 is an overall flow chart of the present invention;

FIG. 2 is a waveform diagram of a sample signal of the present invention;

FIG. 3 is a waveform diagram of a signal obtained by linear optical sampling according to the present invention;

FIG. 4 is a waveform diagram of a signal obtained by using an oscilloscope according to the present invention;

FIG. 5 is a schematic diagram of the K-means algorithm of the present invention;

FIG. 6 is a constellation diagram of an intensity noise signal of the present invention;

FIG. 7 is a constellation diagram of phase noise signals according to the present invention;

FIG. 8 is a probability distribution graph of the present invention;

fig. 9 is a QPSK communication system of the present invention.

Detailed Description

The technical scheme of the invention is clearly and completely described below by combining the embodiment and the attached drawings of the specification. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Research shows that the performance of the channel is obtained by collecting the signals transmitted in the channel and analyzing the transmitted signals. The frequency of a signal transmitted in an existing channel is large, and the bandwidth of a hardware circuit for processing the signal is not enough to be suitable for processing the signal with the large frequency, that is, the frequency of the signal is not matched with the bandwidth of the hardware circuit for processing the signal, so that the processing of the signal by the hardware circuit is affected, the processing result of the signal by the hardware circuit is not enough to reflect the performance of the channel, and the accuracy of acquiring the performance of the channel through the signal in the channel is reduced. The accuracy of the channel performance obtained by the prior art is low.

In order to solve the technical problems, the invention provides a channel monitoring method, a demodulation method, a device, equipment and a storage medium, and solves the problem of low accuracy of channel performance acquired in the prior art. In specific implementation, the invention acquires the sample signal transmitted in the channel, applies a linear optical sampling algorithm to the sample signal for frequency reduction processing, inputs the sample signal after frequency reduction into the hardware circuit, and the hardware circuit processes the sample signal after frequency reduction to obtain an output result aiming at the sample signal after frequency reduction, and can obtain the performance of the channel according to the output result. The method and the device can improve the accuracy of the acquired channel performance.

For example, if a signal is transmitted through a channel, the signal transmission may be affected if the performance of the channel is poor, that is, the signal is transmitted through a channel with poor performance, which may cause the signal to be degraded. The performance of the channel may be monitored by monitoring the signal. In this embodiment, a sample signal in a channel is collected, where the frequency of the sample signal is a, the bandwidth of a hardware circuit required for processing the sample signal with the frequency a is a, and the bandwidth of the existing hardware circuit does not reach a, so that the bandwidth of the hardware circuit for processing the sample signal is not matched with the frequency of the sample signal. In the embodiment, the linear optical sampling algorithm is used for performing frequency reduction processing on the sample signal with the frequency of A, the frequency of the processed sample signal is reduced to B, the bandwidth of a hardware circuit required for processing the sample signal with the frequency of B is B, the bandwidth B is smaller than the bandwidth a, the bandwidth of the existing hardware circuit can reach B, and the bandwidth of the hardware circuit for processing the sample signal is ensured to be matched with the frequency of the sample signal after frequency reduction, so that the processing result of the hardware circuit on the sample signal can accurately reflect the performance of a channel.

Exemplary method

The channel monitoring method of this embodiment may be applied to a terminal device, and as shown in fig. 1, the channel monitoring method specifically includes the following steps:

s100, a sample signal transmitted in a channel is obtained.

The channel in this embodiment may be a single mode fiber for high speed communications with a capacity of 100Tbps, where the single mode fiber is used to transmit high speed optical signals that require high bandwidth optoelectronic devices to process. The embodiment selects a part of high-speed optical signals transmitted in a single-mode optical fiber as sample signals for reflecting the channel performance.

S200, applying a linear light sampling algorithm to the sample signal to perform frequency reduction processing to obtain the sample signal subjected to frequency reduction.

In this embodiment, the down-conversion process is to reduce the frequency of the sample signal. Step S200 includes steps S201, S202, S203, S204:

s201, obtaining an effective signal in the sample signal.

If all the sample signals obtained from the channel are processed to obtain the channel performance, on one hand, the operation pressure of subsequent hardware circuits is increased, and on the other hand, interference is caused by information which is carried by the sample signals and is useless for monitoring the channel. Therefore, the present embodiment selects only the valid signal from the sample signals to improve the accuracy of channel monitoring.

S202, obtaining the signal bandwidth corresponding to the effective signal according to the effective signal.

The embodiment can acquire the signal bandwidth corresponding to the effective signal through the frequency of the effective signal.

S203, adjusting the sampling frequency of the linear optical sampling algorithm according to the signal bandwidth, wherein the adjusted sampling frequency is matched with the signal bandwidth.

The sampling frequency of this embodiment may be equal to the signal bandwidth, or may be greater than the signal bandwidth.

S204, performing frequency reduction processing on the effective signal according to the linear optical sampling algorithm after the sampling frequency is adjusted to obtain the effective signal after frequency reduction.

The accuracy of the linear optical sampling algorithm can be improved only by adjusting the sampling frequency of the linear optical sampling algorithm to match the effective signal bandwidth, thereby improving the accuracy of the channel performance obtained by the sample signal subjected to frequency reduction by the linear optical sampling algorithm.

For example, the signal waveform in fig. 2 corresponds to the sample signal of the present embodiment, and the abscissa in fig. 2 represents time and the ordinate represents signal intensity. The bandwidth of the effective signal corresponding to the sample signal of this embodiment is 2 MHz. In this embodiment, the sampling frequency of the linear optical sampling is set to 1GS/s, so the sampling frequency is much greater than the bandwidth of the effective signal, and the effective signal is sampled by using a linear optical sampling algorithm with the sampling frequency much greater than the bandwidth of the effective signal, so as to obtain a signal waveform diagram as shown in fig. 3. In order to verify the accuracy of the linear light sampling of the embodiment, a 33GHz bandwidth Keysight high-speed real-time oscilloscope is used for sampling, the model of the oscilloscope is DSOZ592A, the vertical resolution is 8bit, and the sampling rate is 80GS/s, and the oscilloscope is used for obtaining the signal waveform shown in fig. 4. It can be seen from the signal waveform diagram obtained by linear optical sampling in fig. 3 and the signal waveform diagram received in real time using an oscilloscope that the waveform of the effective signal can be accurately recovered by linear optical sampling. The present embodiment may further obtain the strength information and the phase information of the effective signal by applying Hilbert (Hilbert transform) to the effective signal, so as to perform separate operations on the effective signal and the effective signal through a linear optical sampling algorithm, and further reflect whether strength noise or phase noise exists in the channel through the strength information and the phase information of the effective signal.

S300, inputting the sample signal after frequency reduction to a hardware circuit, wherein the hardware circuit is used for processing the sample signal after frequency reduction.

The hardware circuit carries the algorithm for processing the signal, and in this embodiment, the hardware circuit processes the valid signal in the sample signal. Step S300 includes S301 and S302:

s301, obtaining a signal constellation diagram corresponding to the sample signal after frequency reduction according to the sample signal after frequency reduction.

In this embodiment, the effective signal in the sample signal may be subjected to frequency reduction processing, or the sample signal may be directly subjected to frequency reduction processing, so as to obtain a signal constellation corresponding to the effective signal, or a signal constellation corresponding to the sample signal.

And S302, performing probability estimation on the signal constellation diagram according to a Gaussian mixture model algorithm carried by the hardware circuit to obtain a probability distribution diagram corresponding to the sample signal.

For example, in the embodiment, the probability distribution map may be obtained by using a gaussian mixture model algorithm, or may be obtained by using a machine learning end-to-end equalization technique based on a K-means algorithm, and the latter is suitable for an IMDD (optical fiber communication network and new optical communication) optical communication system at 112 Gbps. As shown in fig. 5, the IMDD optical communication system includes FFE (firmware facility), Mapping (high precision map), PRBS (pseudo random bit sequence), and DC (direct current power) and VCSEL (direct modulation laser), wherein bias variation of the VCSEL (channel performance) may seriously affect the signal quality. Therefore, in the embodiment, a probability distribution graph is obtained by performing repeat sampling on signals output by the MDD optical communication system and combining K-means (machine learning end-to-end equalization technology of K-means algorithm). In this embodiment, a K-means machine learning algorithm is adopted for the IMDD optical communication system to estimate system conditions, so as to implement adaptive signal equalization and prevent error codes from being generated during processing, so that the obtained probability distribution map can better reflect the performance of the channel of the IMDD optical communication system.

S400, obtaining a channel monitoring result according to the output result of the hardware circuit, wherein the channel monitoring result is used for reflecting the channel performance.

In this embodiment, the output result of the hardware circuit is a probability distribution map, and noise information in the channel (performance of the channel) can be obtained by the probability distribution map.

And when the probability distribution map is a three-dimensional map and the full width at half maximum of the probability distribution map of the three-dimensional map is larger than a set value, obtaining that the noise information is intensity noise.

And when the probability distribution diagram is a three-dimensional diagram and the full width at half maximum of the probability distribution diagram of the three-dimensional diagram is less than or equal to a set value, obtaining that the noise information in the performance of the channel is no noise.

When the probability distribution map is a two-dimensional map, it can be obtained that there is noise in the channel and the type of the noise is phase noise.

For example, the signal constellation shown in fig. 6 corresponds to a signal in a channel with intensity noise, and it cannot be determined whether there is other types of noise in the channel except the intensity noise only from the signal constellation shown in fig. 6, so that it is necessary to further process the signal constellation shown in fig. 6 to obtain a probability distribution diagram shown in fig. 8, and then obtain noise information (channel performance) in the channel according to the probability distribution diagram. The probability distribution diagram in fig. 8 is a three-dimensional diagram, and the portion of the three-dimensional probability distribution diagram that is highlighted corresponds to the full width at half maximum, and the full width at half maximum corresponds to the intensity noise in the channel being larger, and when the full width at half maximum is larger than the set value, it indicates that the channel contains the intensity noise. As the signal constellation in fig. 7 corresponds to a signal in a channel with phase noise, it is also impossible to determine whether there is noise of other types in the channel except for the phase noise only from the signal constellation in fig. 7, and therefore it is necessary to further obtain a probability distribution map and further identify the noise based on the probability distribution map.

The channel monitoring method in this embodiment may be used to obtain not only noise information in a channel, but also environmental parameters in the channel, such as temperature and strain. In addition, the environmental parameters in the monitoring channel may be synchronized with the noise information in the monitoring channel, or the environmental parameters may be synchronized with the noise information in the monitoring channel first. The present embodiment takes the acquisition of the temperature in the channel as an example, and describes the process of the channel monitoring method of the present embodiment:

when the monitored temperature information in the channel is temperature information in the channel, the monitoring method in this embodiment is applied to the channel of the server chassis, and one channel monitoring method includes:

s500, acquiring a signal transmitted by a first optical transmitter, wherein the first optical transmitter is positioned in the channel.

The first optical transmitter in this embodiment is a DFB type laser, and the temperature drift characteristic of the wavelength of the DFB type laser with respect to the channel temperature is used as a sensing basic principle to obtain the temperature in the channel. The DFB laser can be placed at a temperature test point for monitoring the temperature variation of the channel in real time.

S600, acquiring a signal transmitted by a second optical transmitter, wherein the second optical transmitter is positioned outside the channel and is matched with the first optical transmitter.

Another DFB type laser (second optical transmitter) is also provided outside the channel, the second optical transmitter being identical to the first optical transmitter, the second optical transmitter being used as a reference for the first optical transmitter for determining whether the signal transmitted by the first optical transmitter has changed after transmission in the channel.

S700, obtaining frequency offset information corresponding to the signal transmitted by the first optical transmitter according to the signal transmitted by the second optical transmitter and the signal transmitted by the first optical transmitter.

And S800, obtaining the temperature information in the channel according to the frequency offset information.

For example, as shown in fig. 9, a DFB laser (a first optical transmitter) is located in a channel of a QPSK communication system, the DFB senses a temperature change in the channel, the temperature change affects a wavelength of a signal emitted by the DFB laser, a series of processing is performed on the signal emitted by the DFB laser as shown in fig. 9, and then, the signal is compared with a wavelength of a signal emitted by a DFB2 laser (a second optical transmitter) located outside the channel of the QPSK communication system to obtain frequency offset information corresponding to the signal emitted by the first optical transmitter, and then, a temperature change in the QPSK communication system where the first optical transmitter is located is obtained according to the frequency offset information.

This embodiment can not only monitor the temperature of the QPSK communication system, but also perform a strain test on the QPSK communication system, as shown in fig. 9, a strain signal is applied to an optical fiber in the QPSK communication system before a Hybrid (90-degree optical bridge) of the QPSK communication system, and therefore this position is selected as a strain sensing point because the Hybrid is polarization-sensitive during IQ splitting. The strain of the QPSK communication system is tested to obtain the strain performance of the QPSK communication system, and further improve the quality of transmission signals of the QPSK communication system.

In the embodiment, when the temperature monitoring and the strain test are performed, the signal transmission can be performed in the QPSK communication system at the same time, that is, the signal transmission in the QPSK communication system is not interrupted while the temperature monitoring and the strain test are performed. In fig. 9, IQ-M is an intelligent power module, Scope is an oscilloscope, MLL is a mode-locked laser, the mode-locked laser is used for ensuring normal signal transmission of the QPSK communication system while performing the temperature monitoring and the strain test, the Mixer is a Mixer, and the LPF is a low-pass filter.

In this embodiment, after monitoring the noise information and the temperature information corresponding to the channel performance, the output signal of the channel may be demodulated (restored) according to the influence of the noise information and the temperature information on the output signal of the channel. A method of signal demodulation, comprising: acquiring an output signal of a channel and the performance of the channel, wherein the performance of the channel is acquired by applying a linear optical sampling algorithm to the sample signal in the channel to perform frequency reduction processing; and demodulating the output signal according to the performance of the channel to obtain an input signal of the channel corresponding to the output signal.

In summary, the present invention acquires the sample signal transmitted in the channel, applies the linear optical sampling algorithm to the sample signal for frequency reduction processing, inputs the sample signal after frequency reduction into the hardware circuit, and the hardware circuit processes the sample signal after frequency reduction to obtain the output result for the sample signal after frequency reduction, and can obtain the performance of the channel according to the output result. According to the invention, the sample signal is subjected to frequency reduction firstly, so that the frequency reduction of the sample signal is performed to match the frequency-reduced sample signal with the bandwidth of a hardware circuit, thereby avoiding the distortion of the sample signal caused by the mismatch of the bandwidth of the hardware circuit and the frequency of the sample signal, and further avoiding the problem that the output result of the hardware circuit is not enough to accurately reflect the channel performance due to the distortion of the sample signal, therefore, the accuracy of the acquired channel performance can be improved. In addition, the Gaussian mixture model algorithm of the invention matches the channel condition probability distribution, realizes the dynamic monitoring and signal equalization of the communication channel, obtains the end-to-end optimal soft decision key parameters, and can compensate the time-varying damage of the channel by abandoning the real-time training sequence. The hardware circuit adopts FPGA and MCU to realize dual-core hardware programming, fuses the linear light sampling platform, realizes low bandwidth, intellectual detection system and equilibrium of high-speed communication signal, possesses advantages such as with low costs, little and intelligent processing of consumption.

Exemplary devices

The embodiment also provides a device of the channel monitoring method, and the device comprises the following components:

the signal acquisition module is used for acquiring a sample signal transmitted in a channel;

the signal frequency reduction module is used for applying a linear optical sampling algorithm to the sample signal to carry out frequency reduction processing to obtain the sample signal subjected to frequency reduction;

the signal processing module is used for inputting the sample signal subjected to frequency reduction into a hardware circuit, and the hardware circuit is used for processing the sample signal subjected to frequency reduction;

and the channel performance acquisition module is used for acquiring a channel monitoring result according to the output result of the hardware circuit, and the channel monitoring result is used for reflecting the channel performance.

Based on the foregoing embodiment, the present invention further provides a terminal device, where the terminal device includes a memory, a processor, and a channel monitoring method program stored in the memory and operable on the processor, and when the processor executes the channel monitoring method, the steps of the channel monitoring method are implemented.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, databases, or other media used in embodiments provided herein may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

In summary, the present invention discloses a channel monitoring method, a demodulation method, an apparatus, a device and a storage medium, wherein the method comprises: the method comprises the steps of acquiring a sample signal transmitted in a signal, applying a linear optical sampling algorithm to the sample signal for frequency reduction processing, inputting the sample signal subjected to frequency reduction into a hardware circuit, processing the signal subjected to frequency reduction by the hardware circuit to obtain an output result aiming at the sample signal subjected to frequency reduction, and obtaining the performance of a channel according to the output result. The method and the device can improve the accuracy of the acquired channel performance.

Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.