阅读说明：本技术 一种噪声信号用自调节方法 (Self-adjusting method for noise signal ) 是由 张启 张萌 尹继东 李烁星 于 2021-10-18 设计创作，主要内容包括：本发明公开了一种噪声信号用自调节方法,具体包括：通过信号收纳模块对控制信号、噪声信号进行收纳与初步处理；通过所述信号分析模块对控制信号进行分析比对；根据步骤2中的分析比对结果对控制信号进行处理；通过所述信号诱导模块产生第一诱导信号与噪声信号发生调频增益后产生中间调节信号,且中间调节信号与处理后的控制信号发生二次调频增益后输出。本发明中给出的一种噪声信号自调节方法具有很强的通用性,并且通过该方法验证降噪效力的手段比较有效,能够有效的减少系统链路中的噪声信号。不同于现有技术中对噪声信号的处理方式,即对噪声信号的再利用为控制信号的调频增益,为通信、雷达等的系统链路提供了一定的通道增益。(The invention discloses a self-adjusting method for noise signals, which specifically comprises the following steps: the signal receiving module is used for receiving and primarily processing the control signal and the noise signal; analyzing and comparing the control signals through the signal analysis module; processing the control signal according to the analysis comparison result in the step 2; and generating a first induction signal and a noise signal through the signal induction module, generating a middle adjusting signal after generating frequency modulation gain, and outputting the middle adjusting signal and the processed control signal after generating secondary frequency modulation gain. The noise signal self-adjusting method provided by the invention has strong universality, and the means for verifying the noise reduction effectiveness by the method is effective, so that the noise signals in a system link can be effectively reduced. The method is different from the noise signal processing mode in the prior art, namely, the noise signal is reused as the frequency modulation gain of the control signal, and a certain channel gain is provided for the system links of communication, radar and the like.)

1. A method for self-tuning a noise signal, comprising: the self-adjusting method for the noise signal comprises the following steps:

step 1, a signal receiving module is used for receiving and primarily processing a control signal and a noise signal;

step 2, the signal receiving module is in signal connection with a signal analysis module, and the control signal is analyzed and compared through the signal analysis module;

step 3, the signal analysis module is in signal connection with a signal processing module, and the control signal is processed according to the analysis comparison result in the step 2;

and 4, the signal processing module is in signal connection with a signal induction module, a first induction signal and a noise signal are generated by the signal induction module to generate a frequency modulation gain, then an intermediate adjusting signal is generated, and the intermediate adjusting signal and the processed control signal are output after a secondary frequency modulation gain.

2. A method of self-adjusting a noise signal according to claim 1, wherein: the step 1 specifically comprises:

the signal receiving module comprises a gain stage circuit, the gain stage circuit comprises a low noise amplifier, and the low noise amplifier is used for completing input matching and amplification processing of a control signal.

3. A method of self-adjusting a noise signal according to claim 2, wherein: the low noise amplifier in the step 1 adopts a resistive negative feedback cascode structure.

4. A method of self-adjusting a noise signal according to any one of claims 1-3, characterized by: the step 2 specifically comprises:

step 2-1, the signal analysis module carries out variable decomposition on the control signal, and processes the I/Q signal after the variable decomposition to obtain a baseband signal of the control signal;

step 2-2, the signal analysis module carries out symbol judgment and code element mapping according to the baseband signal to obtain code stream information of the baseband signal, and the signal analysis module carries out forming filtering to generate an ideal reference signal required by modulation quality analysis;

and 2-3, the signal analysis module analyzes and compares the control signal with the ideal reference signal, and transmits an analysis and comparison result to the signal processing module.

5. A method of self-adjusting a noise signal according to claim 4, wherein: the step 3 specifically includes:

step 3-1, converting the control signal into a multi-carrier signal with periodically changed frequency through the signal processing module according to the analysis and comparison result in the step 2-3, wherein the multi-carrier signal in each period is formed by continuously splicing the multi-carrier signals with the same pulse width and frequency presentation relationship;

step 3-2, carrying out carrier suppression single-side modulation on the multi-carrier signal by using the original control signal to obtain a linear frequency modulation signal;

and 3-3, performing beat frequency on the linear frequency modulation signal and the baseband signal to obtain a gain control signal with a bandwidth different from that of the original control signal, and adjusting the initial frequency of the gain control signal by changing the frequency shift amount.

Technical Field

The invention relates to the field of microwave communication, in particular to a self-adjusting method for noise signals.

Background

In the prior art, a wireless access radio frequency circuit is widely used for realizing wireless connection and information exchange between devices. The microwave switch is the main part of communication and radar. In order to suppress the influence of noise of each stage on a system, a microwave switch needs to have a certain system gain, but an excessive gain can overload a part of modules in the microwave switch to generate nonlinear distortion, meanwhile, a low-noise amplifier in a microblog switch is a small-signal linear amplifier, and due to the influence of a transmission path, the strength of a signal is changed, and strong interference often enters when the signal is received, so that the gain and the attenuation need to be adjustable to obtain a larger linear and dynamic range.

In a microwave switch, the operating frequency of a circuit is often high, most of the used devices are high-frequency microwave devices, crosstalk between channels exists between the high-frequency microwave devices, and the main coupling paths are conducted interference and spatial radiation. And power signals, control signals and the like are arranged in the microwave switch module, so that in order to improve the sensitivity of the microwave switch, noise signals in the microwave switch need to be adjusted, and a certain channel gain is provided for a system.

Chinese patent CN201410193359.5 describes a 'GNSS carrier loop tracking method based on stochastic resonance algorithm'; the method is based on the stochastic resonance algorithm to carry out integral accumulation and multiplication feedback processing on the input signal to improve the signal-to-noise ratio of the received signal so as to achieve the purpose of stably tracking the carrier loop of the received signal. The steps of 'conjugate complex multiplication', 'random resonance', 'frequency decision' and the like disclosed by the invention adopt different technical characteristics for the problem of circuit noise reduction and achieve different technical effects, and the steps of the method and the device have great difference in step logics, algorithm approaches and other technical means adopted in the aspect of adjusting noise signals.

Disclosure of Invention

The invention aims to provide a self-adjusting method for noise signals, which is used for noise reduction processing of analog signals in a microwave switch.

The invention is realized by the following technical scheme:

a method for self-tuning a noise signal, the method comprising:

step 1, a signal receiving module is used for receiving and primarily processing a control signal and a noise signal;

step 2, the signal receiving module is in signal connection with a signal analysis module, and the control signal is analyzed and compared through the signal analysis module;

step 3, the signal analysis module is in signal connection with a signal processing module, and the control signal is processed according to the analysis comparison result in the step 2;

and 4, the signal processing module is in signal connection with a signal induction module, a first induction signal and a noise signal are generated by the signal induction module to generate a frequency modulation gain, then an intermediate adjusting signal is generated, and the intermediate adjusting signal and the processed control signal are output after a secondary frequency modulation gain.

The high-frequency circuit in the microwave switch is an independent working area and needs to prevent interference of a bulky high-frequency inductor to an adjacent circuit. In the prior art, the processing method for the noise signal in the high-frequency circuit is often as follows: the high-frequency circuit is improved by selecting a low-frequency microcontroller, reducing distortion in signal transmission, reducing cross interference among signals, reducing internal circuit noise, paying attention to high-frequency characteristics of a printed circuit board and components, starting from physical layers such as reasonable partition of component arrangement and the like, so that the anti-interference capability of the high-frequency circuit is improved. In view of the above, the applicant proposed a self-adjusting method for noise signals for use in noise reduction processing of analog signals in microwave switches. The signal receiving module is in signal connection with the signal analysis module, and the received control signal and noise signal are analyzed and compared through the signal analysis module, and the analysis result is processed into corresponding analysis signal and data signal; the signal analysis module is in signal connection with the signal processing module, receives an analysis signal and a data signal through the signal processing module, performs gain processing on a received control signal according to the analysis signal and the data signal, increases the frequency band difference of the control signal, and provides a certain channel gain for a system link; the signal processing module is in signal connection with the signal induction module, generates a first induction signal and a noise signal through the signal induction module, generates an intermediate adjusting signal after frequency modulation gain is generated on the first induction signal and the noise signal, and outputs the intermediate adjusting signal and the processed control signal after secondary frequency modulation gain is generated on the intermediate adjusting signal and the processed control signal. The noise signals generated in each module and unit can be utilized and gained in the circuit, namely, the channel gain effect can be provided for the system.

The signal inducing module comprises:

a filtering signal unit: the device is used for filtering noise signals which cannot induce frequency modulation gain;

an induction signal unit: the device is used for generating a first induction signal to induce a noise signal to generate a frequency modulation gain phenomenon, providing channel gain for a system link, generating a middle adjustment signal after the frequency modulation gain occurs, and outputting the middle adjustment signal and a processed control signal after the secondary frequency modulation gain occurs.

Further, the step 1 specifically includes:

the signal receiving module comprises a gain stage circuit, the gain stage circuit comprises a low noise amplifier, and the low noise amplifier is used for completing input matching and amplification processing of a control signal.

In a high-frequency circuit, the applicant finds in practical research that when a control signal, a noise signal and a system reach a certain matching relationship, a frequency modulation gain phenomenon can be generated. Therefore, after the control signal is received by the gain stage circuit, the control signal is amplified, that is, the control signal to be amplified is received by the gain stage circuit, the control signal to be amplified is generally high-frequency microwave, the control signal to be amplified is generally one or more paths, and the amplifier in the gain stage circuit can independently amplify each corresponding control signal. In specific implementation, the number of the control signals to be amplified is generally less than or equal to that of the amplifiers, and when the control signals to be amplified are amplified, the amplification paths corresponding to the control signals to be amplified are all selected through the low-noise amplifiers, so that the barrier height of the control signals per se is increased, and the subsequent steps can be carried out continuously.

Preferably, the low noise amplifier in step 1 adopts a resistive negative feedback cascode structure.

A common source tube in the resistive negative feedback common source can provide a high-gain thin-gate N-type metal-oxide-semiconductor transistor for the circuit; and a thick gate N-type metal-oxide-transistor capable of bearing high voltage division and reducing breakdown risk is also adopted; the drain electrode direct current inductor in the gain circuit adopts a finite inductor; the parasitic resistance of the drain direct current inductance is set to be in direct proportion to the drain direct current inductance; in the gain stage circuit, a node for power drop caused by extra current drawn by charging and discharging of a parasitic capacitor when voltage changes is added, an inductance-capacitance circuit which is in parallel resonance with the parasitic capacitor at a fundamental frequency is added at the node, and loss in the gain stage circuit is reduced by using the capacitance.

Further, the step 2 specifically includes:

step 2-1, the signal analysis module carries out variable decomposition on the control signal, and processes the I/Q signal after the variable decomposition to obtain a baseband signal of the control signal;

step 2-2, the signal analysis module carries out symbol judgment and code element mapping according to the baseband signal to obtain code stream information of the baseband signal, and the signal analysis module carries out forming filtering to generate an ideal reference signal required by modulation quality analysis;

and 2-3, the signal analysis module analyzes and compares the control signal with the ideal reference signal, and transmits an analysis and comparison result to the signal processing module.

The signal analysis module includes:

the signal identification unit is used for identifying all frequency bands of the currently received signals and identifying the frequency band of the required control signal according to the setting;

the frequency spectrum analysis unit comprises a frequency spectrum analyzer which is used for completing frequency domain analysis and signal bandwidth test and distinguishing signals of all different frequency bands, namely extracting and analyzing low-frequency signals in high-frequency signals through the detection circuit.

Because the generating condition of the frequency modulation gain is harsh, the signal analysis module designed by the applicant is in signal connection with the signal storage module so as to achieve the purpose of carrying out system analysis processing on the control signal and the noise signal. A modern spectrum analyzer based on Fast Fourier Transform (FFT) decomposes a detected signal into discrete frequency components through Fourier operation to achieve the same result as that of a traditional spectrum analyzer, and the novel spectrum analyzer adopts a digital method to directly sample an input signal through an analog-to-digital converter (ADC) and then obtains a spectrum distribution graph after FFT processing. In order to obtain good instrument linearity and high resolution, when data storage is carried out on signals, the sampling rate of the ADC is at least equal to twice the highest frequency of the input signals. The maximum input rate depends on the sampling rate and the resolution depends on the number of sampling points. The FFT operation time is in logarithmic relation with the number of samples.

Further, the step 3 specifically includes:

step 3-1, converting the control signal into a multi-carrier signal with periodically changed frequency through the signal processing module according to the analysis and comparison result in the step 2-3, wherein the multi-carrier signal in each period is formed by continuously splicing the multi-carrier signals with the same pulse width and frequency presentation relationship;

step 3-2, carrying out carrier suppression single-side modulation on the multi-carrier signal by using the original control signal to obtain a linear frequency modulation signal;

and 3-3, performing beat frequency on the linear frequency modulation signal and the baseband signal to obtain a gain control signal with a bandwidth different from that of the original control signal, and adjusting the initial frequency of the gain control signal by changing the frequency shift amount.

And processing the control signal and the noise signal through a signal processing module based on the baseband signal of the signal analysis module. Specifically, the method comprises the following steps: according to the analysis and comparison result in the step 2-3, the control signal is converted into a multi-carrier signal with periodically changed frequency through the signal processing module, and the multi-carrier signal in each period is formed by continuously splicing the multi-carrier signals with the same pulse width and the frequency according to the frequency presentation relationship; carrying out carrier suppression unilateral modulation on the multi-carrier signal by using an original control signal to obtain a linear frequency modulation signal; and performing beat frequency on the linear frequency modulation signal and the baseband signal to obtain a gain control signal with a bandwidth different from that of the original control signal, wherein the initial frequency of the gain control signal can be adjusted by changing the frequency shift amount. The first inducing signal macroscopically induces the system parameter (namely the signal bandwidth) to change, so that the frequency modulation gain of the control signal and the noise signal is regulated and controlled.

Compared with the prior art, the invention has the following advantages and beneficial effects:

1. the signal processing module is used for amplifying the required control signal, so that the barrier height between signals is improved, and a certain technical support is provided for the gain of a system link;

2. the noise signal self-adjusting method provided by the invention can be applied to each high-frequency circuit, has strong universality, and the means for verifying the noise reduction effect by the method is effective, so that the noise signals in a system link can be effectively reduced;

3. the method provided by the invention is widely applied to microwave switches, and is different from the noise signal processing mode in the prior art, namely, the noise signal is reused as the frequency modulation gain of the control signal, and a certain channel gain is provided for system links of communication, radar and the like.

Drawings

The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:

FIG. 1 is a schematic view of the present invention;

FIG. 2 is a schematic flow chart of the present invention;

FIG. 3 is a schematic flow chart of the induced gain according to the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not meant to limit the present invention.

It should be noted that the present invention is already in practical application.

Example 1:

referring to fig. 1 to fig. 3, as shown in the drawings, the signal receiving module is in signal connection with the signal analyzing module, the signal analyzing module is in signal connection with the signal processing module, and the signal processing module is in signal connection with the signal inducing module. The signal analysis module includes: the system comprises a signal identification unit and a spectrum analysis unit, wherein the signal analysis module is respectively in information interaction with the signal identification unit and the spectrum analysis unit; the signal processing module includes: the signal processing module is respectively in information interaction with the signal conversion unit and the signal frequency modulation unit; the signal inducing module comprises: the induction signal unit and the filtering signal unit, and the signal induction unit realizes information interaction with the induction signal unit and the filtering signal unit respectively. The specific method comprises the following steps:

step 1, a signal receiving module is used for receiving and primarily processing a control signal and a noise signal;

step 2, the signal receiving module is in signal connection with a signal analysis module, and the control signal is analyzed and compared through the signal analysis module;

step 3, the signal analysis module is in signal connection with a signal processing module, and the control signal is processed according to the analysis comparison result in the step 2;

and 4, the signal processing module is in signal connection with a signal induction module, a first induction signal and a noise signal are generated by the signal induction module to generate a frequency modulation gain, then an intermediate adjusting signal is generated, and the intermediate adjusting signal and the processed control signal are output after a secondary frequency modulation gain.

It should be noted that the noise signal is considered to be a nuisance during the signal transmission process, because the presence of the noise signal reduces the signal-to-noise ratio and affects the extraction of useful information. However, the applicant has found that in some particular systems, the presence of a noise signal can enhance the control signal when the control signal, the noise signal and the system are matched. In response to this situation, the applicant proposed: in the high-frequency circuit system, a system parameter is adjusted through a signal induction module to achieve a condition that a frequency modulation gain is generated by using a noise signal and a control signal, wherein the system parameter refers to a bandwidth of a frequency modulation gain signal. In this case, the noise signal is converted into a signal having a gain for the system link through the frequency modulation gain, that is, the purpose of reducing noise of the high frequency circuit is achieved. The frequency modulation gain condition is also applied to a high-frequency circuit of a microwave switch. The control signal is amplified after being received by the gain stage circuit, the control signal to be amplified is generally high-frequency microwave, and the amplifier in the gain stage circuit can independently amplify each corresponding control signal. In specific implementation, the number of the control signals to be amplified is generally less than or equal to that of the amplifiers, and when the control signals to be amplified are amplified, the amplification paths corresponding to the control signals to be amplified are all selected through the low-noise amplifiers, so that the barrier height of the control signals per se is increased, and the subsequent steps can be carried out continuously.

Step 2-1, the signal analysis module carries out variable decomposition on the control signal, and carries out algorithm processing including digital filtering, sampling rate conversion, matched filtering, timing correction, frequency offset correction, phase offset correction, frequency error estimation and phase error estimation on the I/Q signal after variable decomposition to obtain a baseband signal of a measured signal;

step 2-2, the signal analysis module carries out symbol judgment and code element mapping according to a baseband signal of a detected signal to obtain code stream information of an original signal, and the signal analysis module carries out forming filtering to generate an ideal reference signal required by modulation quality analysis;

and 2-3, comparing the control signal with the noise signal by the signal analysis module, extracting a series of modulation quality error indexes including an amplitude vector error, a phase error, an amplitude error, an IQ bias, an origin offset and a quadrature error, and transmitting the result to the signal processing module.

It should be noted that the signal analysis module includes: the signal identification unit is used for identifying all frequency bands of the currently received signals and identifying the frequency band of the required control signal according to setting;

the frequency spectrum analysis unit comprises a frequency spectrum analyzer which is used for completing frequency domain analysis and signal bandwidth test and distinguishing signals of all different frequency bands, namely extracting and analyzing low-frequency signals in high-frequency signals through the detection circuit.

Because the generating conditions of the frequency modulation gain are harsh, the applicant designs a signal analysis module in signal connection with the signal storage module so as to achieve the purpose of carrying out system analysis processing on the control signal, the noise signal and the mixed signal. A modern spectrum analyzer based on Fast Fourier Transform (FFT) decomposes a detected signal into discrete frequency components through Fourier operation to achieve the same result as that of a traditional spectrum analyzer, and the novel spectrum analyzer adopts a digital method to directly sample an input signal through an analog-to-digital converter (ADC) and then obtains a spectrum distribution graph after FFT processing. In order to obtain good instrument linearity and high resolution, when data storage is carried out on signals, the sampling rate of the ADC is at least equal to twice the highest frequency of the input signals. The maximum input rate depends on the sampling rate and the resolution depends on the number of sampling points. The FFT operation time is in logarithmic relation with the number of samples.

Step 3-1, converting the control signal into a multi-carrier signal with periodically changed frequency through the signal processing module according to the analysis and comparison result in the step 2-3, wherein the multi-carrier signal in each period is formed by continuously splicing the multi-carrier signals with the same pulse width and frequency presentation relationship;

step 3-2, carrying out carrier suppression single-side modulation on the multi-carrier signal by using the original control signal to obtain a linear frequency modulation signal;

and 3-3, performing beat frequency on the linear frequency modulation signal and the baseband signal to obtain a gain control signal with a bandwidth different from that of the original control signal, and adjusting the initial frequency of the gain control signal by changing the frequency shift amount.

And 3-4, repeating the steps 3-1 to 3-3, and carrying out synchronous processing on the noise signal to obtain a gain noise signal with the bandwidth different from that of the noise signal.

It should be noted that the bandwidth of the gain control signal is a times of the control signal; the bandwidth of the gain noise signal is b times the noise signal. And processing the control signal and the noise signal through a signal processing module based on the baseband signal of the signal analysis module. Specifically, the method comprises the following steps: converting the control signal into a multi-carrier signal with periodically changed frequency through a signal processing module, wherein the multi-carrier signal in each period is formed by continuously splicing the multi-carrier signals with the same pulse width and the frequency according to the frequency presentation relationship; carrying out carrier suppression unilateral modulation on the multi-carrier signal by using an original control signal to obtain a linear frequency modulation signal; and performing beat frequency on the linear frequency modulation signal and the baseband signal to obtain a gain control signal with a bandwidth different from that of the original control signal, wherein the initial frequency of the gain control signal can be adjusted by changing the frequency shift amount. And (4) repeating the step 3-1 to the step 3-3, and carrying out synchronous processing on the noise signal to obtain a gain noise signal with the bandwidth different from that of the original noise signal. In combination with the following, the system parameters a and b (i.e. signal bandwidth) are macroscopically induced to change by the first inducing signal, so as to regulate the frequency modulation gain of the control signal and the noise signal.

Step 4-1, generating a first inducing signal by the signal inducing module to induce the gain control signal and the gain noise signal to generate frequency modulation gain, and providing channel gain for a system link;

and 4-2, performing induction analysis processing on the single-end non-interference data signals and the single-end interference data signals in the steps 2-1 to 2-3 through the signal induction module to obtain interference data in a corresponding time period, forming an interference array, and performing characteristic value and vector decomposition on the interference array to generate the current interference suppression array.

It should be further noted that the signal inducing module includes:

a filtering signal unit: the device is used for filtering noise signals which can not induce the frequency modulation gain phenomenon;

an induction signal unit: the noise signal generating device is used for generating an induction signal to induce the control signal after amplification and the noise signal after attenuation to generate a frequency modulation gain phenomenon, so that channel gain is provided for a system link, the control signal after frequency modulation gain enters the control signal channel, and the noise signal without frequency modulation gain enters the interference channel.

The definition formula of the potential barrier shows that the height of the potential barrier is determined by two system parameters, namely a and b, so that the system parameters need to be macroscopically regulated and controlled in order to induce the frequency modulation gain phenomenon of a control signal and a noise signal in the system. However, due to the regulation of the hardware of the system, new interference is easily caused to the signal itself through mutual crosstalk between channels, i.e. multi-level noise signals are generated. In contrast, the applicant proposes that the interference data in the corresponding time period is obtained by performing induction analysis processing based on the single-ended interference-free data signal and the single-ended interference data signal, and an interference array is formed, and the current interference suppression array is generated by performing eigenvalue and vector decomposition on the interference array. Thereby achieving the same effect of reducing the noise signals inside the high-frequency circuit.

As shown in fig. 2, the signal receiving module receives and primarily processes the control signal and the noise signal; the signal receiving module is in signal connection with a signal analysis module, and the control signal is analyzed and compared through the signal analysis module; the signal analysis module is in signal connection with a signal processing module and processes the control signal according to the analysis comparison result in the step 2; the signal processing module is in signal connection with a signal induction module, generates a first induction signal and a noise signal through the signal induction module, generates an intermediate adjusting signal after frequency modulation gain occurs, and outputs the intermediate adjusting signal and a processed control signal after secondary frequency modulation gain occurs.

Since the first induced signal, the control signal and the noise signal are all in the high frequency circuit in the present embodiment, and the specific analysis and signal processing module processes the signals to satisfy the specific relation, that is, the condition of the fm gain occurring in the high frequency circuit, in the prior art, Benzi et al propose the superposition of electromagnetic wave frequencies and use the superposition of electromagnetic wave frequencies to explain the problem of the quaternary glacier, and later describe the existence of the internal noise or the external noise in a phenomenon-nonlinear system to increase the response of the system output. From the viewpoint of signal processing, in a nonlinear system, when a noisy signal is input, system characteristics such as signal-to-noise ratio, residence time and the like are measured by appropriate physical quantities, and the system characteristics reach a maximum value by adjusting the input noise intensity or system parameters, at this time, we call the synergistic phenomenon generated by the signal, noise and stochastic system as frequency modulation gain.

In this embodiment, since the probability of the occurrence of the fm gain between the unprocessed noise signal and the radio frequency is extremely low in the conventional communication system, the probability of the occurrence of the fm gain by modulating the characteristic values of the control signal and the noise signal in a specific environment such as a laboratory is still not satisfactory. The applicant found via systematic studies that: the reasons for this phenomenon are: the characteristic value span between the control signal and the noise signal is too large and is not easily adjusted by modulation processing or the like. Therefore, the applicant utilizes the first inducing signal as an intermediate between the control signal and the noise signal, and as a bridge for inducing the frequency modulation gain between the control signal and the noise signal. The first inducing signal and the noise signal generate a first-stage frequency modulation gain to generate an intermediate signal gain body, namely an intermediate adjusting signal. And enabling the first induction signal and the noise signal to generate frequency modulation gain primarily, enabling the intermediate regulation signal and the control signal to generate secondary frequency modulation gain, and enabling the frequency modulation gain process at the moment to be regarded as a secondary induction process of the signal induction module. The frequency modulation gain can greatly meet the requirement of reducing noise signals in a high-frequency circuit in terms of performance, is completely different from the aspects of inhibiting interference sources, cutting off propagation paths, improving anti-interference performance and the like by various means in the traditional technology, and utilizes the mutual relation between the noise signals and the control signals to generate resonance, thereby providing guarantee for the strength of the control signals and being used for the whole system; the link provides a certain channel gain. The signal inducing module is in signal connection with the signal analyzing module, a first inducing signal generated by the signal inducing module is stronger than a noise signal and a control signal in the aspects of frequency, amplitude, signal intensity and the like, and for specific situations under different system environments, the characteristic value of the first inducing signal is different through the comprehensive processing of the signal analyzing module, the signal processing module and the signal inducing module, in the embodiment, the first inducing signal is a baseband signal multiplied by c and satisfies the following conditions: c is more than b; c is less than a, and it should be noted that the bandwidth of the gain control signal is a times of the initial control signal; the bandwidth of the gain noise signal is b times the original noise signal.

Example 2:

the physical knowledge of the induction effect has long been known. A physicist puts forward a plurality of qualitative orders of induction effects according to physical properties of electromagnetic waves and also puts forward a plurality of basic amplitude characteristic constants in the aspect of quantitative relation, but the basic amplitude characteristic constants assign numerical values one by one according to the calculation requirement on the basis of certain experimental data, and the purpose is to carry out systematic analysis and research on the basis of the frequency of a plurality of electromagnetic waves.

The signal-to-noise ratio gain is an important index for measuring the enhancement and improvement effects of the frequency modulation gain system on the input signal, the frequency modulation gain system can obviously enhance and improve the signal only when the signal-to-noise ratio gain is larger than 1, the larger the signal-to-noise ratio gain is, the better the detection effect is, the input signal is assumed to be the high-frequency signal shown in the formula (1), and the signal-to-noise ratio gain of the ith signal is recorded asThen it is defined as follows:

formula 1

In the formula (I), the compound is shown in the specification,andrespectively representing the power of the ith signal before and after the frequency modulation gain,andrespectively representing the input and output average noise power of the circuit system at the ith input signal frequency, in order to measure the overall detection effect of the frequency modulation gain on a plurality of frequency signals, measuring the output effect of the frequency modulation gain by using the average signal-to-noise ratio gain, wherein the average signal-to-noise ratio gain is recorded as MG, and is defined as follows:

formula 2

In this embodiment, the system and method verifies the interference resistance of the system and method in the high frequency circuit in the alpha stable distribution. Because the alpha stable distribution can simulate the situation when the noise signal is relatively stable (the noise signal accords with the situation when Gaussian distribution) and can better depict the state when the noise signal jumps greatly, the noise signal described by the alpha stable distribution, namely the alpha stable noise can well accord with actual data, the system and the method combine a control signal with a frequency modulation gain system, study the parameter induced frequency modulation gain phenomenon of control signal detection under the environment of the alpha stable noise, study the relation between the alpha stable noise distribution parameter, the frequency modulation gain system parameter and the system resonance output effect, and average test data are as follows:

anti-interference effect watch

The error rate (SER: symbol error rate) is an indicator that measures the accuracy of data transmission over a specified time, and is = 100% error in transmission/total number of transmitted codes. There is an error rate if there is an error, and in addition, there is an error rate defined as a measure of the frequency of occurrence of errors. In this embodiment: through data analysis of the method, one item of data is as follows:

transmission bit string behavior: 010101000111100101010101011001010101011110011010101010101

Receive bit string behavior: 010101010110100101010101001001010101010110011010101110101

In this data, the number of error bits is 5. the error rate is the percentage value of the number of bits transmitted by the error bit number, namely:

5/57*100%=8.77%

after the method is applied to the original high-frequency circuit:

transmission bit string behavior: 010101000111100101010101011001010101011110011010101010101

Receive bit string behavior: 010101010111100101010101011001010001011110011010111010101

In this data, the number of error bits is 3. the error rate is the percentage value of the number of bits transmitted by the error bit number, namely:

3/57*100%=5.26%

the research on the error rate under specific conditions is carried out, and the method has great significance for enhancing the performance of a wireless communication system and improving the data transmission quality.

The SIGNAL-to-NOISE RATIO, known by the English name SNR or S/N (Signal-NOISE RATIO), is also known as the SIGNAL-to-NOISE RATIO. Refers to the ratio of signal to noise in an electronic device or system. The signal refers to an electronic signal from the outside of the device to be processed by the device, the noise refers to an irregular extra signal (or information) which does not exist in the original signal generated after passing through the device, and the signal does not change along with the change of the original signal.

In digital communication systems, the snr generally refers to the ratio E/N0 of the average signal energy E of each digital waveform (bit) at the output of the digital demodulator or decoder of the terminal to the noise power N0 in a unit frequency band, which is also called normalized snr or snr, and is a commonly used indicator. A set of curves between E/N0 and error (error) probability Pe can also be used to show the quality of communication for different digital modulation and demodulation, or different types of channel coding and decoding. The calculation formula is as follows:

formula 3

Its unit is generally decibels, which is a ten times log signal to noise power ratio:

formula 4

Wherein:

signal Amplitude (Amplitude of Signal);

is the Noise Amplitude (Amplitude of Noise);

is the Signal Power (Power of Signal);

is the Power of Noise (Power of Noise).

The magnitude vector error is the difference between the theoretical waveform and the actual waveform received, and is the root mean square value of the ratio of the average error vector signal power to the average reference signal power.

Transmission delay refers to the time required for a node to get a block of data from the node into the transmission medium when it is transmitting data, i.e., the total time required from the start of transmission of a data frame by a station to the completion of transmission of the data frame (or the total time a receiving station receives a data frame).

Transmission delay = data frame length/transmission rate

For the data, the data are average values obtained by a plurality of experiments, and for the error rate: the method can obviously reduce the error rate of the transmission signal in a high-frequency circuit in the prior art, so that the transmission signal is more accurate; for signal-to-noise ratio: the method can obviously reduce the proportion of noise signals in transmission models, namely can improve the signal-to-noise ratio of the signals; for magnitude vector errors: the waveform of a signal in a high-frequency circuit in the prior art is subjected to single variable analysis, so that the variation of the signal amplitude is smaller; for the time delay: in the high-frequency circuit in the conventional technology, due to the fact that the transmission signal has high time delay and high time delay rate under the processing of various signal noises, the time delay of the signal is reduced after the processing of the method, and the transmission efficiency of the system of the transmission signal in the embodiment can be improved.

The working process of the application is now completely described once as follows:

the signal receiving module is used for receiving and primarily processing the control signal and the noise signal; the signal receiving module comprises a gain stage circuit, the gain stage circuit comprises a low noise amplifier, and the low noise amplifier is used for completing input matching and amplification processing of a control signal. The signal analysis module carries out variable decomposition on the control signal, and processes the I/Q signal after the variable decomposition to obtain a baseband signal of the control signal; the signal analysis module carries out symbol judgment and code element mapping according to the baseband signal to obtain code stream information of the baseband signal, and the signal analysis module carries out forming filtering to generate an ideal reference signal required by modulation quality analysis; the signal analysis module analyzes and compares the control signal with the ideal reference signal, and transmits the analysis and comparison result to the signal processing module. According to the analysis and comparison result, the control signal is converted into a multi-carrier signal with periodically changed frequency through the signal processing module, and the multi-carrier signal in each period is formed by continuously splicing the multi-carrier signals with the same pulse width and the frequency according to the frequency presentation relationship; carrying out carrier suppression unilateral modulation on the multi-carrier signal by using an original control signal to obtain a linear frequency modulation signal; and performing beat frequency on the linear frequency modulation signal and the baseband signal to obtain a gain control signal with a bandwidth different from that of the original control signal, wherein the initial frequency of the gain control signal can be adjusted by changing the frequency shift amount. The signal processing module is in signal connection with a signal induction module, generates a first induction signal and a noise signal through the signal induction module, generates an intermediate adjusting signal after frequency modulation gain occurs, and outputs the intermediate adjusting signal and a processed control signal after secondary frequency modulation gain occurs.

The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.