BPSK signal noise reduction and reconstruction method, device, equipment and storage medium

Abstract

The present application relates to a BPSK signal noise reduction and reconstruction method, apparatus, equipment and storage medium, wherein the method combines prior information with necessary information obtained by an intermediate frequency estimation method, a BPSK decoding method and a frequency deviation estimation method, and reconstructs a noise-free BPSK signal waveform by means of signal modulation. The BPSK signal to be processed is fitted from the perspective of modulation, avoiding the problems that may arise from the existing processing of the BPSK signal to be processed to obtain a fitting signal. A more accurate intermediate frequency estimation method that overcomes the influence of BPSK phase modulation is used. A BPSK decoding method that can overcome non-ideal phase jumps and frequency deviations to a certain extent is used. A mathematical model that retains a specific frequency deviation is used to generate frequency deviation parameters, so that the fitting signal is closer to the interference-free BPSK signal.

Description

Technical Field

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

[0002] During non-cooperative electromagnetic environment monitoring, BPSK signals encounter various noise and interference during transmission, causing signal distortion. Existing methods for removing noise and interference at the receiving end primarily include filtering and algorithmic interference removal. Filtering primarily removes out-of-band noise by passing the BPSK signal through a specific filter. However, due to the non-ideal nature of the filter, out-of-band noise removal is incomplete, resulting in some distortion of the in-band useful signal. Other interference removal methods, including fitting algorithms, can also misjudge or miss noise points. Summary of the Invention

[0003] Based on this, it is necessary to provide a BPSK signal noise reduction and reconstruction method, device, equipment and storage medium to address the above technical problems.

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

[0005] Get the BPSK signal to be processed.

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

[0007] The signal intermediate frequency is digitally down-converted to obtain a zero intermediate frequency BPSK signal, and the zero intermediate frequency BPSK signal is zero intermediate frequency decoded to obtain code element information.

[0008] Frequency offset parameters are estimated based on the BPSK signal to be processed, prior information and symbol information to obtain the frequency offset parameters.

[0009] According to the signal intermediate frequency, symbol information, frequency deviation parameters and prior information, BPSK signal modulation is used to perform signal fitting modulation to obtain a fitted interference-free BPSK signal.

[0010] In one embodiment, performing intermediate frequency estimation on the BPSK signal to be processed and extracting the intermediate frequency of the signal includes:

[0011] Perform mathematical transformation on the BPSK signal to be processed, perform discrete Fourier transform on the mathematical transformation result, and obtain a power spectrum.

[0012] Determine the signal intermediate frequency based on the power spectrum.

[0013] In one embodiment, digital down-conversion is performed on the intermediate frequency of the signal to obtain a zero intermediate frequency BPSK signal, and zero intermediate frequency decoding is performed on the zero intermediate frequency BPSK signal to obtain symbol information, including:

[0014] The signal intermediate frequency is digitally down-converted to obtain a zero intermediate frequency BPSK signal.

[0015] The zero intermediate frequency BPSK signal is subjected to mathematical operation processing, and the processing result is then decoded using a demodulation method of a composite BPSK modulation method to extract the code element information.

[0016] In one embodiment, frequency offset parameter estimation is performed based on the BPSK signal to be processed, prior information, and symbol information to obtain the frequency offset parameter, including:

[0017] According to the BPSK signal to be processed, prior information and symbol information, a preset mathematical model is used to extract the frequency deviation parameter.

[0018] In one embodiment, the a priori information includes: a symbol rate, a sampling rate, and a root raised cosine filter roll-off coefficient.

[0019] According to the signal intermediate frequency, symbol information, frequency deviation parameters and prior information, BPSK signal modulation is used to perform signal fitting modulation to obtain a fitted interference-free BPSK signal, including:

[0020] A fitting signal of a BPSK signal to be processed with an initial phase difference, a time delay and an amplitude scaling is determined based on a frequency offset parameter according to prior information and symbol information.

[0021] The symbol information is upsampled through the signal to obtain an upsampled signal corresponding to the symbol rate and sampling rate.

[0022] The up-sampled signal is shaped and filtered through a root raised cosine filter to obtain a digital baseband signal.

[0023] The digital baseband signal is digitally up-converted according to the frequency deviation parameter to obtain a fitted interference-free BPSK signal.

[0024] In one embodiment, performing digital up-conversion on a digital baseband signal according to a frequency offset parameter to obtain a fitted interference-free BPSK signal includes:

[0025] The digital baseband signal and Multiply them together to perform digital up-conversion and complete the modulation to obtain the fitted interference-free BPSK signal; where f para (n) is the frequency deviation parameter, f IF is the signal intermediate frequency, f s is the sampling rate.

[0026] A BPSK signal noise reduction and reconstruction device, the device comprising:

[0027] The signal acquisition module is used to acquire the BPSK signal to be processed.

[0028] The intermediate frequency estimation module is used to estimate the intermediate frequency of the BPSK signal to be processed and extract the signal intermediate frequency.

[0029] The zero-IF decoding module is used to digitally down-convert the signal intermediate frequency to obtain a zero-IF BPSK signal, and perform zero-IF decoding on the zero-IF BPSK signal to obtain code element information.

[0030] The frequency offset parameter estimation module is used to estimate the frequency offset parameter according to the BPSK signal to be processed, prior information and symbol information to obtain the frequency offset parameter.

[0031] The signal fitting modulation module is used to perform signal fitting modulation using BPSK signal modulation according to the signal intermediate frequency, code element information, frequency deviation parameters and prior information to obtain a fitted interference-free BPSK signal.

[0032] A computer device includes 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:

[0033] Get the BPSK signal to be processed.

[0034] The intermediate frequency of the BPSK signal to be processed is estimated and the intermediate frequency of the signal is extracted.

[0035] The signal intermediate frequency is digitally down-converted to obtain a zero intermediate frequency BPSK signal, and the zero intermediate frequency BPSK signal is zero intermediate frequency decoded to obtain code element information.

[0036] Frequency offset parameters are estimated based on the BPSK signal to be processed, prior information and symbol information to obtain the frequency offset parameters.

[0037] According to the signal intermediate frequency, symbol information, frequency deviation parameters and prior information, BPSK signal modulation is used to perform signal fitting modulation to obtain a fitted interference-free BPSK signal.

[0038] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the following steps:

[0039] Get the BPSK signal to be processed.

[0040] The intermediate frequency of the BPSK signal to be processed is estimated and the intermediate frequency of the signal is extracted.

[0041] The signal intermediate frequency is digitally down-converted to obtain a zero intermediate frequency BPSK signal, and the zero intermediate frequency BPSK signal is zero intermediate frequency decoded to obtain code element information.

[0042] Frequency offset parameters are estimated based on the BPSK signal to be processed, prior information and symbol information to obtain the frequency offset parameters.

[0043] According to the signal intermediate frequency, symbol information, frequency deviation parameters and prior information, BPSK signal modulation is used to perform signal fitting modulation to obtain a fitted interference-free BPSK signal.

[0044] The above-mentioned BPSK signal noise reduction and reconstruction method, device, equipment and storage medium, the method combines prior information with the necessary information obtained by the intermediate frequency estimation method, BPSK decoding method and frequency deviation estimation method, and reconstructs the noise-free BPSK signal waveform by signal modulation. The BPSK signal to be processed is fitted from the perspective of modulation, avoiding the problems that may arise from the existing processing of the BPSK signal to be processed to obtain the fitting signal. A more accurate intermediate frequency estimation method that overcomes the influence of BPSK phase modulation is used. A BPSK decoding method that can overcome non-ideal phase jumps and frequency deviations to a certain extent is used. A mathematical model that retains a specific frequency deviation is used to generate frequency deviation parameters, so that the fitting signal is closer to the interference-free BPSK signal. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 1 is a flow chart of a BPSK signal noise reduction and reconstruction method according to an embodiment;

[0046] Figure 2 A process of a BPSK signal noise reduction and reconstruction method in another embodiment;

[0047] Figure 3 is an intermediate frequency power spectrum diagram of a BPSK signal in another embodiment;

[0048] Figure 4 A schematic diagram of a frequency offset parameter extraction model in another embodiment;

[0049] Figure 5 This is a matlab running result example in another embodiment;

[0050] Figure 6 BPSK actual signal and simulation signal curves (0 intermediate frequency) in another embodiment, where (a) is the real part curve and (b) is the imaginary part curve;

[0051] Figure 7 BPSK actual signal and simulation signal curves in another embodiment, wherein (a) is the real part curve and (b) is the imaginary part curve;

[0052] Figure 8 This is a structural block diagram of a BPSK signal noise reduction and reconstruction device in one embodiment;

[0053] Figure 9 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0055] In one embodiment, Figure 1 、 Figure 2 As shown, a BPSK signal noise reduction and reconstruction method is provided, which includes the following steps:

[0056] Step 100: Obtain a BPSK signal to be processed.

[0057] Step 102: Estimating the intermediate frequency of the BPSK signal to be processed and extracting the intermediate frequency of the signal.

[0058] Step 104: Perform digital down-conversion on the signal intermediate frequency to obtain a zero intermediate frequency BPSK signal, and perform zero intermediate frequency decoding on the zero intermediate frequency BPSK signal to obtain symbol information.

[0059] Step 106: Estimating the frequency offset parameter according to the BPSK signal to be processed, the prior information and the symbol information to obtain the frequency offset parameter.

[0060] Step 108: Based on the signal intermediate frequency, symbol information, frequency offset parameters and prior information, a BPSK signal modulation method is used to perform signal fitting modulation to obtain a fitted interference-free BPSK signal.

[0061] In the above-mentioned BPSK signal noise reduction and reconstruction method, the method combines prior information with the necessary information obtained by the intermediate frequency estimation method, the BPSK decoding method and the frequency deviation estimation method, and reconstructs the noise-free BPSK signal waveform by means of signal modulation. The BPSK signal to be processed is fitted from the perspective of modulation, which avoids the problems that may arise from the existing processing of the BPSK signal to be processed to obtain the fitted signal. A more accurate intermediate frequency estimation method that overcomes the influence of BPSK phase modulation is used. A BPSK decoding method that can overcome non-ideal phase jumps and frequency deviations to a certain extent is used. A mathematical model that retains a specific frequency deviation is used to generate frequency deviation parameters, so that the fitted signal is closer to the interference-free BPSK signal.

[0062] In one embodiment, step 102 includes: performing a mathematical transformation on the BPSK signal to be processed, performing a discrete Fourier transform on the mathematical transformation result to obtain a power spectrum; and determining the intermediate frequency of the signal according to the power spectrum.

[0063] Specifically, the BPSK signal is a signal in which the phase of the sinusoidal carrier varies discretely with the binary digital baseband signal. After down-conversion and sampling, the intermediate frequency I / Q sequence is obtained, which is the BPSK signal to be processed. Its expression is:

[0064]

[0065] Where k represents the sequence number of the k-code element information, T is the code element duration, 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.

[0066] In order to overcome the influence of phase modulation and obtain the intermediate frequency of the signal, the present application first performs a mathematical transformation on the processed signal, and then performs DFT on the processed signal to obtain the power spectrum (such as Figure 3 As shown). The power spectrum obtained at this time is no longer affected by the amplitude-frequency characteristics of the shaped pulse and there exists |G(f)| 2 The signal is not broadened by several times, but has a distinct spectral line at a specific frequency. By calculating this specific frequency, the intermediate frequency of the signal can be obtained.

[0067] In one embodiment, step 104 includes: digitally down-converting the signal intermediate frequency to obtain a zero intermediate frequency BPSK signal; performing mathematical operations on the zero intermediate frequency BPSK signal, and then decoding the obtained processing result using a composite BPSK modulation demodulation method to extract code element information.

[0068] Specifically, for BPSK signals, if adjacent codewords have different codewords, the phase difference at the codeword jump point is π. However, since the actual received signal may be affected by non-ideal factors such as equipment filtering, channels, and nonlinear devices, the phase jump of the signal may not be completed instantaneously. This will lead to an increase in the bit error rate when the general zero intermediate frequency BPSK decoding method is directly used. Furthermore, if the signal has a frequency deviation during transmission, the bit error phenomenon will be more serious. In the decoding process of this method, the BPSK signal to be processed is first digitally down-converted according to the obtained intermediate frequency to obtain a zero intermediate frequency signal. Then, in order to reduce the impact of the above-mentioned non-ideal factors on decoding, this application obtains the instantaneous frequency of the zero intermediate frequency signal, and then performs mathematical statistics on the instantaneous frequency for decoding.

[0069] In one embodiment, step 106 includes: extracting frequency offset parameters using a preset mathematical model according to the BPSK signal to be processed, prior information, and symbol information.

[0070] Specifically, among the above non-ideal factors, some frequency offsets belong to signal interference that is not desired to be eliminated, so it is necessary to extract specific frequency offset parameters according to a certain mathematical fitting model to a certain extent. This method combines the decoding results and the instantaneous phase of the zero-IF signal to extract the required frequency offset parameters according to the set mathematical model. Figure 4 shown.

[0071] In one embodiment, the prior information includes: a symbol rate, a sampling rate, and a root raised cosine filter roll-off coefficient; step 108 includes: determining a fitting signal of the BPSK signal to be processed with an initial phase difference, a time delay, and an amplitude scaling based on the prior information and the symbol information and the frequency deviation parameter; upsampling the symbol information through the signal to obtain an upsampled signal corresponding to the symbol rate and the sampling rate; shaping filtering the upsampled signal through a root raised cosine filter to obtain a digital baseband signal; and performing digital up-conversion on the digital baseband signal according to the frequency deviation parameter to obtain a fitting interference-free BPSK signal.

[0072] In one embodiment, the digital baseband signal is digitally up-converted according to the frequency deviation parameter to obtain a fitted interference-free BPSK signal, including: converting the digital baseband signal to Multiply them together to perform digital up-conversion and complete the modulation to obtain the fitted interference-free BPSK signal; where f para (n) is the frequency deviation parameter, f IF is the signal intermediate frequency, f s is the sampling rate.

[0073] Specifically, when the a priori information such as symbol rate, sampling rate and root raised cosine filter roll-off coefficient is known a priori, the fitting signal of the BPSK signal to be processed with a certain initial phase difference, time delay and amplitude scaling can be obtained by combining the obtained signal intermediate frequency, codeword information and frequency offset parameters. 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 shaped and filtered by the root raised cosine filter to obtain a digital baseband signal. Finally, the digital baseband signal is combined with the Multiply and perform digital up-conversion (where f para (n) is the frequency offset parameter), modulation is completed, and a fitting interference-free BPSK signal is obtained. This fitting signal is also an I / Q sequence.

[0074] It should be understood that although Figure 1The 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. In addition, 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.

[0075] In a verification example, the BPSK signal to be processed is input, and intermediate frequency estimation, zero intermediate frequency decoding, frequency offset parameter extraction are performed in sequence, and finally the fitting signal modulation is performed to obtain the fitting interference-free receiving end BPSK signal. This method can be written in multiple programming languages ​​and run on multiple platforms to obtain the following results: Figure 5-7 From the simulation results, it can be seen 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 BPSK signal waveform.

[0076] In one embodiment, Figure 8 As shown, a BPSK signal noise reduction and reconstruction device is provided, including: a signal acquisition module, an intermediate frequency estimation module, a zero intermediate frequency decoding module, a frequency offset parameter estimation module and a signal fitting modulation module, wherein:

[0077] The signal acquisition module is used to acquire the BPSK signal to be processed.

[0078] The intermediate frequency estimation module is used to estimate the intermediate frequency of the BPSK signal to be processed and extract the signal intermediate frequency.

[0079] The zero-IF decoding module is used to digitally down-convert the signal intermediate frequency to obtain a zero-IF BPSK signal, and perform zero-IF decoding on the zero-IF BPSK signal to obtain code element information.

[0080] The frequency offset parameter estimation module is used to estimate the frequency offset parameter according to the BPSK signal to be processed, prior information and symbol information to obtain the frequency offset parameter.

[0081] The signal fitting modulation module is used to perform signal fitting modulation using BPSK signal modulation according to the signal intermediate frequency, code element information, frequency deviation parameters and prior information to obtain a fitted interference-free BPSK signal.

[0082] In one embodiment, the intermediate frequency estimation module is further configured to perform mathematical transformation on the BPSK signal to be processed, perform discrete Fourier transform on the mathematical transformation result to obtain a power spectrum; and determine the intermediate frequency of the signal based on the power spectrum.

[0083] In one embodiment, the zero intermediate frequency decoding module is also used to digitally down-convert the signal intermediate frequency to obtain a zero intermediate frequency BPSK signal; perform mathematical operations on the zero intermediate frequency BPSK signal, and then decode the obtained processing result using a composite BPSK modulation demodulation method to extract code element information.

[0084] In one embodiment, the frequency offset parameter estimation module is further configured to extract the frequency offset parameter using a preset mathematical model according to the BPSK signal to be processed, prior information, and symbol information.

[0085] In one embodiment, the prior information includes: code element rate, sampling rate and root raised cosine filter roll-off coefficient; the signal fitting modulation module is further used to determine the fitting signal of the BPSK signal to be processed with initial phase difference, time delay and amplitude scaling based on the prior information and code element information and the frequency deviation parameter; the code element information is upsampled through the signal to obtain an upsampled signal corresponding to the code element rate and sampling rate; the upsampled signal is shaped and filtered through a root raised cosine filter to obtain a digital baseband signal; the digital baseband signal is digitally up-converted according to the frequency deviation parameter to obtain a fitted interference-free BPSK signal.

[0086] In one embodiment, the signal fitting modulation module is also used to convert the digital baseband signal into Multiply them together to perform digital up-conversion, complete the modulation, and obtain the fitted interference-free BPSK signal; where f para (n) is the frequency deviation parameter, f IF is the signal intermediate frequency, f s is the sampling rate.

[0087] The specific definitions of the BPSK signal noise reduction and reconstruction device can be found in the definitions of the BPSK signal noise reduction and reconstruction method described above and will not be repeated here. Each module in the aforementioned BPSK signal noise reduction and reconstruction device can be implemented in whole or in part via software, hardware, or a combination thereof. Each of these modules can be embedded in or independent of a processor in a computer device in hardware form, or stored in a computer device memory in software form, allowing the processor to call and execute the corresponding operations of each module.

[0088] 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 9As shown. The computer device includes a processor, a memory, a network interface, a display screen and an input device connected via a system bus. 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 via a network connection. When the computer program is executed by the processor, a BPSK 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 covering the display screen, or a button, trackball or touchpad provided on the computer device housing, or an external keyboard, touchpad or mouse.

[0089] Those skilled in the art will understand that Figure 9 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 shown in the figure, or combine certain components, or have a different component arrangement.

[0090] In one embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above method embodiment when executing the computer program.

[0091] 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.

[0092] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. 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. By way of illustration and not limitation, RAM is available in various 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).

[0093] The technical features of the above embodiments can 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.

[0094] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A BPSK signal noise reduction and reconstruction method, characterized in that: The method comprises: Obtain the BPSK signal to be processed; Performing intermediate frequency estimation on the BPSK signal to be processed to extract the signal intermediate frequency; Performing digital down-conversion on the intermediate frequency of the signal to obtain a zero intermediate frequency BPSK signal, and performing zero intermediate frequency decoding on the zero intermediate frequency BPSK signal to obtain symbol information; Estimating a frequency offset parameter according to the BPSK signal to be processed, the priori information, and the symbol information to obtain a frequency offset parameter; According to the signal intermediate frequency, the symbol information, the frequency offset parameter and the prior information, a BPSK signal modulation method is adopted to perform signal fitting modulation to obtain a fitted interference-free BPSK signal.

2. The BPSK signal noise reduction and reconstruction method according to claim 1, characterized in that: Estimating the intermediate frequency of the BPSK signal to be processed and extracting the intermediate frequency of the signal include: Performing a mathematical transformation on the BPSK signal to be processed, and performing a discrete Fourier transform on the mathematical transformation result to obtain a power spectrum; The signal intermediate frequency is determined according to the power spectrum.

3. The BPSK signal noise reduction and reconstruction method according to claim 1, characterized in that: Performing digital down-conversion on the intermediate frequency of the signal to obtain a zero intermediate frequency BPSK signal, and performing zero intermediate frequency decoding on the zero intermediate frequency BPSK signal to obtain symbol information, including: Performing digital down-conversion on the intermediate frequency of the signal to obtain a zero intermediate frequency BPSK signal; The zero intermediate frequency BPSK signal is subjected to mathematical operation processing, and the obtained processing result is decoded using a demodulation method that complies with the BPSK modulation method to extract code element information.

4. The BPSK signal noise reduction and reconstruction method according to claim 1, characterized in that: Estimating a frequency offset parameter according to the BPSK signal to be processed, the priori information, and the symbol information to obtain the frequency offset parameter includes: A frequency deviation parameter is extracted using a preset mathematical model according to the BPSK signal to be processed, the priori information and the symbol information.

5. The BPSK signal noise reduction and reconstruction method according to claim 1, characterized in that: The prior information includes: symbol rate, sampling rate and root raised cosine filter roll-off coefficient; According to the signal intermediate frequency, the symbol information, the frequency offset parameter and the prior information, signal fitting modulation is performed using a BPSK signal modulation method to obtain a fitted interference-free BPSK signal, including: Determine, based on the frequency offset parameter and the prior information and the symbol information, a fitting signal of the BPSK signal to be processed with an initial phase difference, a time delay, and an amplitude scaling; Upsampling the symbol information to obtain an upsampled signal corresponding to the symbol rate and sampling rate; The up-sampled signal is shaped and filtered through a root raised cosine filter to obtain a digital baseband signal; The digital baseband signal is digitally up-converted according to the frequency deviation parameter to obtain a fitted interference-free BPSK signal.

6. The BPSK signal noise reduction and reconstruction method according to claim 5, characterized in that: Performing digital up-conversion on the digital baseband signal according to the frequency offset parameter to obtain a fitted interference-free BPSK signal, including: The digital baseband signal and Multiply them together to perform digital up-conversion and complete the modulation to obtain the fitted interference-free BPSK signal; where f para (n) is the frequency deviation parameter, f IF is the signal intermediate frequency, f s is the sampling rate.

7. A BPSK signal noise reduction and reconstruction device, characterized in that: The device comprises: A signal acquisition module, used to acquire a BPSK signal to be processed; An intermediate frequency estimation module is used to estimate the intermediate frequency of the BPSK signal to be processed and extract the signal intermediate frequency; a zero intermediate frequency decoding module, configured to digitally down-convert the intermediate frequency of the signal to obtain a zero intermediate frequency BPSK signal, and perform zero intermediate frequency decoding on the zero intermediate frequency BPSK signal to obtain symbol information; A frequency offset parameter estimation module, configured to estimate the frequency offset parameter according to the BPSK signal to be processed, the priori information, and the symbol information to obtain the frequency offset parameter; The signal fitting modulation module is used to perform signal fitting modulation in a BPSK signal modulation manner according to the signal intermediate frequency, the code element information, the frequency offset parameter and the prior information to obtain a fitting interference-free BPSK signal.

8. The BPSK signal noise reduction and reconstruction device according to claim 7, characterized in that: The intermediate frequency estimation module is further used to perform mathematical transformation on the BPSK signal to be processed, perform discrete Fourier transform on the mathematical transformation result to obtain a power spectrum; and determine the signal intermediate frequency based on the power spectrum.

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 BPSK signal noise reduction and reconstruction method according to any one of claims 1 to 6 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 BPSK signal noise reduction and reconstruction method according to any one of claims 1 to 6 is implemented.

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