2FSK signal noise reduction and reconstruction method, device, equipment and storage medium

Abstract

The invention relates to a 2FSK signal noise reduction and reconstruction method and device, equipment and a storage medium. According to the method, by combining prior information and necessary information obtained by adopting an intermediate frequency estimation method and a frequency offset estimation method, a 2FSK signal of an interference-free receiving end is fitted in a signal modulation mode. According to the method, the 2FSK signal of the receiving end is fitted from the angle of modulation, and the problem possibly caused by the fact that the signal of the receiving end is processed to obtain the fitted signal in the prior art is avoided; a feature model is made by using the prior information of transmitting equipment, channel features and receiving equipment, and is corrected by using a received signal, so that the features of a transmission system in signal transmission are reserved to a certain extent.

Description

Technical Field

[0001] The present application relates to the field of signal processing technology, and in particular to a 2FSK signal noise reduction and reconstruction method, device, equipment and storage medium. Background Art

[0002] In the process of non-cooperative electromagnetic environment monitoring, 2FSK signals may encounter various interferences during transmission, causing signal distortion. The existing methods for removing interference from the receiving end mainly include filter filtering and algorithm interference removal. Filter filtering mainly removes out-of-band noise by filtering the 2FSK signal at the receiving end through a specific filter. However, due to the non-ideal characteristics of the filter, the output signal may produce a certain degree of distortion while retaining some out-of-band noise. When other algorithms, including fitting algorithms, are used to deal with interference, it is possible to misjudge or miss noise points. Summary of the invention

[0003] Based on this, it is necessary to provide a 2FSK signal noise reduction and reconstruction method, device, equipment and storage medium to address the above technical problems. This method can overcome the shortcomings of the existing method of using filtering and other means to remove interference from the received 2FSK signal in order to fit an interference-free signal, which is easy to introduce new interference and the interference removal is not ideal.

[0004] A 2FSK signal noise reduction and reconstruction method, the method comprising:

[0005] Get the 2FSK signal to be processed.

[0006] The intermediate frequency of the 2FSK signal to be processed is estimated and the intermediate frequency of the signal is extracted.

[0007] After the signal intermediate frequency is digitally down-converted, parameters are extracted to obtain the parameters extracted from the 2FSK signal to be fitted.

[0008] The frequency offset is estimated according to the parameters extracted from the 2FSK signal to be fitted and the parameters extracted from the prior information to obtain the frequency offset parameters.

[0009] According to the frequency deviation parameter, the intermediate frequency of the signal and the prior information, a 2FSK signal modulation method is adopted to generate a fitting waveform of the 2FSK signal to be processed.

[0010] In one embodiment, the intermediate frequency of the 2FSK signal to be processed is estimated to extract the intermediate frequency of the signal, including:

[0011] Perform DFT on the 2FSK signal to be processed to obtain the power spectrum.

[0012] The power spectrum is optimized through mathematical processing, and then the intermediate frequency of the signal is obtained by averaging the two highest spectrum peaks.

[0013] In one embodiment, frequency offset estimation is performed based on parameters extracted from the 2FSK signal to be fitted and parameters extracted from prior information to obtain frequency offset parameters, including:

[0014] The first-level feature model is determined based on the parameters extracted from the prior information.

[0015] The first-level characteristic model is corrected by using a predetermined algorithm according to the parameters extracted from the 2FSK signal to be fitted, so as to obtain a second-level characteristic model; wherein the frequency deviation parameter is a parameter of the second-level characteristic model.

[0016] In one of the embodiments, the a priori information includes: codeword rate, sampling rate and codeword information.

[0017] According to the frequency deviation parameter, the signal intermediate frequency and the prior information, the 2FSK signal modulation method is adopted to generate the fitting waveform of the 2FSK signal to be processed, including:

[0018] According to the prior information and the frequency deviation parameter, a 2FSK fitting signal to be processed with a certain initial phase difference, time delay and amplitude scaling is generated.

[0019] In the modulation process, the code element information is upsampled to obtain an upsampled signal corresponding to the code element rate and sampling rate, and the upsampled signal is filtered through a filter to obtain a digital baseband signal, and then the digital baseband signal is combined with The frequency of the two signals is added, and the obtained frequency addition result is digitally up-converted to obtain the fitted interference-free reception 2FSK signal; where f para (n) is the frequency deviation parameter, f IF is the signal intermediate frequency, f s is the sampling rate.

[0020] A 2FSK signal noise reduction and reconstruction device, the device comprising:

[0021] The signal acquisition module is used to acquire the 2FSK signal to be processed.

[0022] The intermediate frequency estimation module is used to estimate the intermediate frequency of the 2FSK signal to be processed and extract the intermediate frequency of the signal.

[0023] The frequency deviation parameter estimation module is used to extract parameters after digital down-conversion of the signal intermediate frequency to obtain parameters extracted from the 2FSK signal to be fitted; frequency deviation is estimated based on the parameters extracted from the 2FSK signal to be fitted and the parameters extracted from the prior information to obtain frequency deviation parameters.

[0024] The waveform fitting and modulation module is used to generate a fitting waveform of the 2FSK signal to be processed by adopting a 2FSK signal modulation method according to the frequency deviation parameter, the signal intermediate frequency and the prior information.

[0025] In one of the embodiments, the intermediate frequency estimation module is further used to perform DFT on the 2FSK signal to be processed to obtain a power spectrum; optimize the power spectrum through mathematical processing, and then obtain the signal intermediate frequency by averaging the two highest spectrum peaks.

[0026] In one of the embodiments, the frequency deviation parameter estimation module is also used to determine the primary characteristic model based on the parameters extracted from the prior information; the primary characteristic model is corrected using a predetermined algorithm based on the parameters extracted from the 2FSK signal to be fitted to obtain a secondary characteristic model; wherein the frequency deviation parameter is a secondary characteristic model parameter.

[0027] In one embodiment, the prior information includes: symbol rate, sampling rate and symbol information; the waveform fitting and modulation module is also used to generate a 2FSK fitting signal to be processed with a certain initial phase difference, time delay and amplitude scaling according to the prior information and frequency deviation parameters; in the modulation process, the symbol information is upsampled by the signal to obtain an upsampled signal corresponding to the symbol rate and sampling rate, the upsampled signal is filtered by a filter to obtain a digital baseband signal, and then the digital baseband signal is combined with the The frequency of the two signals is added, and the obtained frequency addition result is digitally up-converted to obtain the fitted interference-free reception 2FSK signal; where f para (n) is the frequency deviation parameter, f IF is the signal intermediate frequency, f s is the sampling rate.

[0028] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0029] Get the 2FSK signal to be processed.

[0030] The intermediate frequency of the 2FSK signal to be processed is estimated and the intermediate frequency of the signal is extracted.

[0031] After the signal intermediate frequency is digitally down-converted, parameters are extracted to obtain the parameters extracted from the 2FSK signal to be fitted.

[0032] The frequency offset is estimated according to the parameters extracted from the 2FSK signal to be fitted and the parameters extracted from the prior information to obtain the frequency offset parameters.

[0033] According to the frequency deviation parameter, the intermediate frequency of the signal and the prior information, a 2FSK signal modulation method is adopted to generate a fitting waveform of the 2FSK signal to be processed.

[0034] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the following steps:

[0035] Get the 2FSK signal to be processed.

[0036] The intermediate frequency of the 2FSK signal to be processed is estimated and the intermediate frequency of the signal is extracted.

[0037] After the signal intermediate frequency is digitally down-converted, parameters are extracted to obtain the parameters extracted from the 2FSK signal to be fitted.

[0038] The frequency offset is estimated according to the parameters extracted from the 2FSK signal to be fitted and the parameters extracted from the prior information to obtain the frequency offset parameters.

[0039] According to the frequency deviation parameter, the intermediate frequency of the signal and the prior information, a 2FSK signal modulation method is adopted to generate a fitting waveform of the 2FSK signal to be processed.

[0040] The above-mentioned 2FSK signal noise reduction and reconstruction method, device, equipment and storage medium are a method for fitting the interference-free receiving end 2FSK signal by signal modulation by combining prior information with necessary information obtained by using the intermediate frequency estimation method and the frequency offset estimation method. This method fits the receiving end 2FSK signal from the perspective of modulation, avoiding the problems that may be caused by the existing processing of the receiving end signal to obtain the fitting signal; the characteristic model is made by using the prior information of the transmitting device, channel characteristics and receiving device and is corrected by the received signal, which retains the characteristics of the transmission system in the signal transmission to a certain extent. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 A schematic diagram of a flow chart of a 2FSK signal noise reduction and reconstruction method in one embodiment;

[0042] Figure 2 A process of a 2FSK signal noise reduction and reconstruction method in another embodiment;

[0043] Figure 3 is an intermediate frequency power spectrum diagram of a 2FSK signal in another embodiment;

[0044] Figure 4 A primary characteristic model and a fitting result of the primary characteristic model in another embodiment;

[0045] Figure 5 1 is the result obtained by running on multiple platforms in another embodiment, wherein (a) is the real part curve of the 2FSk signal to be processed and the simulation signal (0 intermediate frequency), (b) is the imaginary part curve of the 2FSk signal to be processed and the simulation signal (0 intermediate frequency), (c) is the real part curve of the 2FSk signal to be processed and the simulation signal, and (d) is the imaginary part curve of the 2FSk signal to be processed and the simulation signal;

[0046] Figure 6It is a structural block diagram of a 2FSK signal noise reduction and reconstruction device in one embodiment;

[0047] Figure 7 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0049] In one embodiment, Figure 2 As shown, a 2FSK signal noise reduction and reconstruction method is provided, and the method comprises the following steps:

[0050] Step 100: Obtain a 2FSK signal to be processed.

[0051] Step 102: Estimating the intermediate frequency of the 2FSK signal to be processed, and extracting the intermediate frequency of the signal.

[0052] Step 104: Performing digital down-conversion processing on the intermediate frequency of the signal and then extracting parameters to obtain parameters extracted from the 2FSK signal to be fitted.

[0053] Step 106: Perform frequency offset estimation based on the parameters extracted from the 2FSK signal to be fitted and the parameters extracted from the prior information to obtain frequency offset parameters.

[0054] Step 108: Generate a fitting waveform of the 2FSK signal to be processed by using 2FSK signal modulation according to the frequency deviation parameter, the signal intermediate frequency and the prior information.

[0055] In the above-mentioned 2FSK signal denoising and reconstruction method, the method combines prior information with necessary information obtained by using intermediate frequency estimation method and frequency offset estimation method, and fits the interference-free receiving end 2FSK signal through signal modulation. This method fits the receiving end 2FSK signal from the perspective of modulation, avoiding the problems that may be caused by the existing processing of the receiving end signal to obtain the fitting signal; the characteristic model is made by using the prior information of the transmitting device, channel characteristics and receiving device, and is corrected by the received signal, which retains the characteristics of the transmission system in the signal transmission to a certain extent. .

[0056] In one embodiment, step 102 includes: performing DFT on the 2FSK signal to be processed to obtain a power spectrum; optimizing the power spectrum through mathematical processing, and then obtaining the intermediate frequency of the signal by averaging the two highest spectrum peaks. Figure 3 shown.

[0057] Specifically, the 2FSK signal is a signal in which the frequency of the sinusoidal carrier varies discretely with the binary digital baseband signal. After down-conversion and sampling, the receiving end obtains the intermediate frequency I / Q sequence, which is the receiving end 2FSK signal to be processed. Its expression is Where k represents the sequence number of the k-code element information, T is the code element duration, represents the phase constant of each symbol, a k Indicates the polarity of each code element, which takes the value of 1 or -1, g(n) is the shaped pulse, f s is the sampling rate, f IF is the intermediate frequency of the signal to be determined. The frequency interval of the 2FSK signal is 40kHz, so its power spectrum corresponds to two spectrum peaks. This method first performs DFT on the signal to obtain the power spectrum, then optimizes the power spectrum through mathematical processing, and finally obtains the intermediate frequency of the signal by averaging the two highest spectrum peaks.

[0058] In one embodiment, step 106 includes: determining a primary characteristic model based on parameters extracted from prior information; modifying the primary characteristic model using a predetermined algorithm based on parameters extracted from the 2FSK signal to be fitted to obtain a secondary characteristic model; wherein the frequency deviation parameter is a secondary characteristic model parameter.

[0059] Specifically, the frequency deviation caused by noise during the transmission of the 2FSK signal is the frequency deviation that needs to be removed, while the frequency deviation caused by the combined effects of the transmitting device, channel characteristics, and receiving device is the frequency deviation that needs to be extracted. Frequency deviation parameter extraction includes extracting parameters from a priori known device information and channel information and extracting parameters from the 2FSK signal to be fitted at the receiving end. The first-level feature model is made using the parameters extracted from the prior information, and the second-level model is obtained by correcting the first-level model using a specific algorithm using the parameters extracted from the 2FSK signal to be fitted. The obtained second-level model parameters are the frequency deviation parameters.

[0060] The first-order feature model and the first-order feature model fitting are as follows Figure 4 shown.

[0061] In one embodiment, the prior information includes: symbol rate, sampling rate and symbol information; step 108 includes: generating a 2FSK fitting signal to be processed with a certain initial phase difference, time delay and amplitude scaling according to the prior information and frequency deviation parameters; in the modulation process, upsampling the symbol information by signal to obtain an upsampled signal corresponding to the symbol rate and sampling rate, filtering the upsampled signal by a filter to obtain a digital baseband signal, and then filtering the digital baseband signal with the signal. The frequency of the two signals is added, and the obtained frequency addition result is digitally up-converted to obtain the fitted interference-free reception 2FSK signal; where f para (n) is the frequency deviation parameter, f IFis the signal intermediate frequency, f s is the sampling rate.

[0062] Specifically, fitting signal modulation. Under the condition of knowing the prior information such as symbol rate, sampling rate and symbol, combined with the obtained frequency deviation parameters, a 2FSK signal at the receiving end with a certain initial phase difference, time delay and amplitude scaling can be obtained. In the modulation process, the symbol information is firstly upsampled to obtain an upsampled signal corresponding to the symbol rate and sampling rate, and then the upsampled signal is filtered through a filter to obtain a digital baseband signal, and finally the digital baseband signal is combined with the The frequencies of the two frequencies are added together, and the digital up-conversion is performed while completing the 2FSK modulation (where f para (n) is the frequency deviation parameter), and finally the fitting interference-free received 2FSK signal is obtained. The fitting signal is also an I / Q sequence.

[0063] It should be understood that although Figure 1 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, Figure 1 At least part of the steps may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least part of the sub-steps or stages of other steps.

[0064] In a verification embodiment, the receiving end 2FSK signal to be processed is input, and the intermediate frequency estimation, frequency offset parameter extraction and finally fitting signal modulation are performed in sequence to obtain the fitting interference-free receiving end 2FSK signal. The method can be written in a variety of programming languages ​​and the results obtained by running on a variety of platforms are as follows Figure 5 As shown, (a) is the real part curve of the 2FSk signal to be processed and the simulated signal (0 intermediate frequency), (b) is the imaginary part curve of the 2FSk signal to be processed and the simulated signal (0 intermediate frequency), (c) is the real part curve of the 2FSk signal to be processed and the simulated signal, and (d) is the real part curve of the 2FSk signal to be processed and the simulated signal. It can be seen from the simulation results that compared with the original signal, the reconstructed signal has more regular and clear local features, and is more consistent with the ideal noise-free 2FSK signal waveform.

[0065] In one embodiment, Figure 6 As shown, a 2FSK signal noise reduction and reconstruction device is provided, comprising: a signal acquisition module, an intermediate frequency estimation module, a frequency deviation parameter estimation module and a waveform fitting and modulation module,

[0066] in:

[0067] The signal acquisition module is used to acquire the 2FSK signal to be processed.

[0068] The intermediate frequency estimation module is used to estimate the intermediate frequency of the 2FSK signal to be processed and extract the intermediate frequency of the signal.

[0069] The frequency deviation parameter estimation module is used to extract parameters after digital down-conversion of the signal intermediate frequency to obtain parameters extracted from the 2FSK signal to be fitted; frequency deviation is estimated based on the parameters extracted from the 2FSK signal to be fitted and the parameters extracted from the prior information to obtain frequency deviation parameters.

[0070] The waveform fitting and modulation module is used to generate a fitting waveform of the 2FSK signal to be processed by adopting a 2FSK signal modulation method according to the frequency deviation parameter, the signal intermediate frequency and the prior information.

[0071] In one of the embodiments, the intermediate frequency estimation module is further used to perform DFT on the 2FSK signal to be processed to obtain a power spectrum; optimize the power spectrum through mathematical processing, and then obtain the signal intermediate frequency by averaging the two highest spectrum peaks.

[0072] In one of the embodiments, the frequency deviation parameter estimation module is also used to determine the primary characteristic model based on the parameters extracted from the prior information; the primary characteristic model is corrected using a predetermined algorithm based on the parameters extracted from the 2FSK signal to be fitted to obtain a secondary characteristic model; wherein the frequency deviation parameter is a secondary characteristic model parameter.

[0073] In one embodiment, the prior information includes: symbol rate, sampling rate and symbol information; the waveform fitting and modulation module is also used to generate a 2FSK fitting signal to be processed with a certain initial phase difference, time delay and amplitude scaling according to the prior information and frequency deviation parameters; in the modulation process, the symbol information is upsampled by the signal to obtain an upsampled signal corresponding to the symbol rate and sampling rate, the upsampled signal is filtered by a filter to obtain a digital baseband signal, and then the digital baseband signal is combined with the The frequency of the two signals is added, and the obtained frequency addition result is digitally up-converted to obtain the fitted interference-free reception 2FSK signal; where f para (n) is the frequency deviation parameter, f IF is the signal intermediate frequency, f s is the sampling rate.

[0074] For the specific definition of the 2FSK signal noise reduction and reconstruction device, please refer to the definition of the 2FSK signal noise reduction and reconstruction method above, which will not be repeated here. Each module in the above-mentioned 2FSK signal noise reduction and reconstruction device can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0075] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 7 As shown. The computer device includes a processor, a memory, a network interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a 2FSK signal noise reduction and reconstruction method is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covered on the display screen, or a key, trackball or touchpad set on the computer device housing, or an external keyboard, touchpad or mouse, etc.

[0076] Those skilled in the art will understand that Figure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0077] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps in the above method embodiment when executing the computer program.

[0078] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above method embodiment are implemented.

[0079] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can 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. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0080] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0081] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A 2FSK signal noise reduction and reconstruction method, characterized in that: The method comprises: Get the 2FSK signal to be processed; Performing intermediate frequency estimation on the 2FSK signal to be processed to extract the signal intermediate frequency; Performing digital down-conversion processing on the intermediate frequency of the signal and then extracting parameters to obtain parameters extracted from the 2FSK signal to be fitted; The frequency deviation is estimated according to the parameters extracted from the 2FSK signal to be fitted and the parameters extracted from the prior information to obtain the frequency deviation parameters; According to the frequency deviation parameter, the signal intermediate frequency and the prior information, a fitting waveform of the 2FSK signal to be processed is generated by adopting a 2FSK signal modulation method.

2. The 2FSK signal denoising and reconstruction method according to claim 1, characterized in that: The intermediate frequency of the 2FSK signal to be processed is estimated to extract the intermediate frequency of the signal, including: Performing DFT on the 2FSK signal to be processed to obtain a power spectrum; The power spectrum is optimized by mathematical processing, and then the signal intermediate frequency is obtained by averaging the two highest spectrum peaks.

3. The 2FSK signal denoising and reconstruction method according to claim 1, characterized in that: The frequency offset is estimated according to the parameters extracted from the 2FSK signal to be fitted and the parameters extracted from the prior information to obtain the frequency offset parameters, including: Determine the first-level feature model based on the parameters extracted from the prior information; The first-level characteristic model is corrected by using a predetermined algorithm according to the parameters extracted from the 2FSK signal to be fitted, so as to obtain a second-level characteristic model; wherein the frequency deviation parameter is a parameter of the second-level characteristic model.

4. The 2FSK signal denoising and reconstruction method according to claim 1, characterized in that: Prior information includes: symbol rate, sampling rate and symbol information; According to the frequency deviation parameter, the signal intermediate frequency and the prior information, a fitting waveform of the 2FSK signal to be processed is generated by adopting a 2FSK signal modulation method, including: According to the prior information and the frequency deviation parameter, a 2FSK fitting signal to be processed with a certain initial phase difference, time delay and amplitude scaling is generated; In the modulation process, the code element information is upsampled to obtain an upsampled signal corresponding to the code element rate and sampling rate, and the upsampled signal is filtered through a filter to obtain a digital baseband signal, and then the digital baseband signal is combined with The frequency of the two signals is added, and the obtained frequency addition result is digitally up-converted to obtain the fitted interference-free reception 2FSK signal; where f para (n) is the frequency deviation parameter, f IF is the signal intermediate frequency, f s is the sampling rate.

5. A 2FSK signal noise reduction and reconstruction device, characterized in that: The device comprises: A signal acquisition module, used for acquiring a 2FSK signal to be processed; An intermediate frequency estimation module is used to estimate the intermediate frequency of the 2FSK signal to be processed and extract the intermediate frequency of the signal; A frequency deviation parameter estimation module is used to extract parameters after performing digital down-conversion processing on the intermediate frequency of the signal to obtain parameters extracted from the 2FSK signal to be fitted; frequency deviation estimation is performed based on the parameters extracted from the 2FSK signal to be fitted and the parameters extracted from the prior information to obtain frequency deviation parameters; The waveform fitting and modulation module is used to generate a fitting waveform of the 2FSK signal to be processed by adopting a 2FSK signal modulation method according to the frequency deviation parameter, the signal intermediate frequency and the prior information.

6. The device according to claim 5, characterized in that The intermediate frequency estimation module is also used to perform DFT on the 2FSK signal to be processed to obtain a power spectrum; optimize the power spectrum through mathematical processing, and then obtain the signal intermediate frequency by averaging the two highest spectrum peaks.

7. The device according to claim 5, characterized in that The frequency deviation parameter estimation module is also used to determine the primary characteristic model based on the parameters extracted from the prior information; and to modify the primary characteristic model using a predetermined algorithm based on the parameters extracted from the 2FSK signal to be fitted to obtain a secondary characteristic model; wherein the frequency deviation parameter is the secondary characteristic model parameter.

8. The device according to claim 5, characterized in that The prior information includes: symbol rate, sampling rate and symbol information; the waveform fitting and modulation module is also used to generate a 2FSK fitting signal to be processed with a certain initial phase difference, time delay and amplitude scaling according to the prior information and the frequency deviation parameter; in the modulation process, the symbol information is upsampled by the signal to obtain an upsampled signal corresponding to the symbol rate and sampling rate, the upsampled signal is filtered by a filter to obtain a digital baseband signal, and then the digital baseband signal is The frequency of the two signals is added, and the obtained frequency addition result is digitally up-converted to obtain the fitted interference-free reception 2FSK signal; where f para (n) is the frequency deviation parameter, f IF is the signal intermediate frequency, f s is the sampling rate.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the 2FSK signal noise reduction and reconstruction method according to any one of claims 1 to 4 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the 2FSK signal noise reduction and reconstruction method according to any one of claims 1 to 4 is implemented.

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