Dynamic return-to-zero and suppression method and device for electromagnetic background noise, equipment and medium

Abstract

The invention relates to a dynamic return-to-zero and suppression method and device for electromagnetic background noise, equipment and a medium. The method comprises the following steps: initializing electromagnetic background noise, and initializing two modes for each frequency point; each mode comprises a mean value, a variance and heat; electromagnetic background noise is collected according to a preset period, and after an electromagnetic background amplitude value is obtained, the final attribution probability of the mode of each frequency point is determined according to the amplitude value of each frequency point and the mean value and the variance of the corresponding mode; according to the final attribution probability of the mode of the current frequency point, the modes are switched in real time through mode judgment, instant interference can be effectively suppressed while timeliness is guaranteed, and permanent electromagnetic background noise is dynamically zeroed. According to the method, the noise model can be adaptively and dynamically adjusted, noise separation is realized, real-time performance and precision are considered, and the application bottleneck of the prior art is broken through.

Description

Technical Field

[0001] The present application relates to the technical field of electromagnetic noise suppression, and in particular to a method, device, equipment and medium for dynamically zeroing and suppressing electromagnetic background noise. Background Art

[0002] With the widespread application of electronic devices and electromagnetic systems, electromagnetic background noise has become a critical issue restricting signal processing accuracy and system reliability. Traditional methods have significant limitations in complex electromagnetic environments. First, fixed-structure filters (such as FIR / IIR) struggle to adapt to the non-stationary, time-varying characteristics of electromagnetic noise, leading to cumulative noise estimation errors. Second, multi-channel noise separation schemes require additional hardware support, increasing system complexity and cost. Furthermore, existing algorithms lack effective separation methods for electromagnetic interference with overlapping spectra (such as power frequency harmonics and target signals), often relying on manual threshold setting or back-end signal processing, which lacks real-time performance.

[0003] Specifically, traditional adaptive filtering technology relies on the statistical characteristics of prior noise. When the statistical characteristics of the noise are similar to those of the target signal (such as geomagnetic noise and weak magnetic signals), the filter is prone to fall into local optimality and the suppression effect is significantly reduced. Summary of the Invention

[0004] Based on this, it is necessary to provide a method, device, equipment and medium for dynamic zeroing and suppression of electromagnetic background noise to address the above technical problems.

[0005] A method for dynamic zeroing and suppression of electromagnetic background noise, the method comprising: Initialize the electromagnetic background noise and initialize two modes for each frequency point; each mode includes: mean, variance and heat.

[0006] The electromagnetic background noise is collected according to the preset period. After the electromagnetic background amplitude value is obtained, the final attribution probability of the mode at each frequency point is determined based on the amplitude value of each frequency point and the mean and variance of the corresponding mode.

[0007] According to the final attribution probability of the mode at the current frequency point, it is determined whether the current observation belongs to the new mode.

[0008] If it is a new modality, the modality with a heat value lower than the preset heat value threshold among the existing modalities at the current frequency point will be replaced by the new modality.

[0009] Update the mean, variance and heat of the mode of the current frequency point; When the instantaneous interference or electromagnetic background noise intensity changes for the first time, the mean value of the original mode at the current frequency point will continue to be used as the current electromagnetic background noise intensity.

[0010] If the electromagnetic background noise intensity at the current frequency point changes and lasts for a preset time, the original mode of the current frequency point is updated to the new mode; the processing continues for the next frequency point until all frequency points are traversed.

[0011] In one embodiment, electromagnetic background noise is collected according to a preset period. After the electromagnetic background amplitude value is obtained, the probability of belonging to the mode of each frequency point is determined based on the amplitude value of each frequency point and the mean and variance of the corresponding mode, including: The electromagnetic background noise is collected according to the preset period. After the electromagnetic background amplitude value is obtained, the attribution probability of each mode is calculated based on the amplitude value of each frequency point and the mean and variance of the mode at the corresponding frequency point: ; in, is the probability of belonging to the mode, is the mean of the modes before updating, is the variance of the mode before updating, is the electromagnetic background amplitude value.

[0012] If the second mode corresponding to a frequency point is not enabled, the attribution probability of the mode is set to 0.

[0013] Set the attribution probability of the new mode to the preset value.

[0014] The final attribution probability of the mode at each frequency point is determined based on the matrix composed of the attribution probabilities of the two modes corresponding to a frequency point, the attribution probability of the new mode, and the heat of the two modes.

[0015] In one embodiment, the final probability of belonging to the modality is: ; in, is the final probability of belonging, Represents the result of matrix binarization, Represents the matrix composed of the heat of the two modes, is the probability of belonging to the mode, and n is the number of Probs that exist.

[0016] In one embodiment, the heat calculation expression of the modality is: ; in, is the popularity of the mode before updating, Update the heat of the previous mode at the previous moment, is the final probability of belonging.

[0017] In one embodiment, the modal mean update expression is: ; in, is the mean of the updated mode, is the mean of the modes before updating, is the electromagnetic background amplitude, is the final probability of belonging, The popularity of the modal before the update.

[0018] In one embodiment, the variance update expression of the modality is: ; in, is the variance of the updated modality, is the mean of the modes before updating, is the electromagnetic background amplitude, is the final probability of belonging, is the popularity of the mode before updating, is the mean of the updated mode, is the square of the variance of the mode before updating, , is the variance of the modality before updating.

[0019] In one embodiment, the modal heat update expression is: ; in, is the popularity of the updated modal, To preset the window size, The popularity of the modal before the update.

[0020] A dynamic zeroing and suppression device for electromagnetic background noise, the device comprising: The electromagnetic background noise initialization module is used to initialize the electromagnetic background noise and initialize two modes for each frequency point; each mode includes: mean, variance and heat.

[0021] The modal final attribution probability determination module is used to collect electromagnetic background noise according to a preset period. After obtaining the electromagnetic background amplitude value, the final attribution probability of the mode at each frequency point is determined based on the amplitude value of each frequency point and the mean and variance of the corresponding mode.

[0022] The modal judgment and real-time modal switching module is used to determine whether the current observation belongs to a new modality based on the final attribution probability of the modality of the current frequency point; if it belongs to a new modality, the modality with a heat value less than the preset heat value threshold in the existing modality of the current frequency point will be replaced with the new modality; the mean, variance and heat value of the modality of the current frequency point will be updated; when the instantaneous interference or electromagnetic background noise intensity changes for the first time, the mean value of the original modality of the current frequency point will continue to be used as the current electromagnetic background noise intensity; if the electromagnetic background noise intensity of the current frequency point changes and lasts for a preset time length, the original modality of the current frequency point will be updated to the new modality; processing will continue on the next frequency point until all frequency points have been traversed.

[0023] A computer device includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any of the above methods when executing the computer program.

[0024] A computer-readable storage medium stores a computer program, which implements the steps of any of the above methods when executed by a processor.

[0025] The above-mentioned method, device, equipment, and medium for dynamic zeroing and suppression of electromagnetic background noise include: initializing the electromagnetic background noise, initializing two modes for each frequency point; each mode includes a mean, variance, and heat; collecting electromagnetic background noise according to a preset period; after obtaining the electromagnetic background amplitude value, determining the final attribution probability of the mode at each frequency point based on the amplitude value of each frequency point and the mean and variance of the corresponding mode; and switching modes in real time through modal judgment based on the final attribution probability of the mode at the current frequency point. While ensuring timeliness, it also effectively suppresses transient interference and dynamically zeroes long-standing electromagnetic background noise. This method can adaptively and dynamically adjust the noise model, achieve noise separation, and achieve electromagnetic background noise suppression that balances real-time performance and precision, thus breaking through the application bottleneck of existing technologies. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 1 is a flow chart of a method for dynamically zeroing and suppressing electromagnetic background noise in one embodiment; Figure 2 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0027] 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.

[0028] In one embodiment, Figure 1As shown, a method for dynamic zeroing and suppression of electromagnetic background noise is provided, the method comprising the following steps: Step 100: Initialize the electromagnetic background noise and initialize two modes for each frequency point; each mode includes: mean, variance, and heat.

[0029] Specifically, the electromagnetic background noise is initialized. After the electromagnetic background amplitude value is input, the first input value of each frequency point will be used as the initial electromagnetic background noise intensity. During the initialization process, two modes will be initialized for each frequency point, and there is a mean in each mode. ,variance and popularity , at this time the heat of the first mode will not be zero. The initialization process will continuously repeat the modal calculation for each frequency point, and the calculation duration is T, where T is the preset value.

[0030] After initialization is completed, modal calculation and switching judgment are dynamically performed according to a certain beat time N, where N is the preset time.

[0031] Step 102: Collect electromagnetic background noise according to a preset period. After obtaining the electromagnetic background amplitude value, determine the final attribution probability of the mode at each frequency point based on the amplitude value of each frequency point and the mean and variance of the corresponding mode.

[0032] Step 104: Determine whether the current observation belongs to a new mode based on the final attribution probability of the mode at the current frequency point.

[0033] Step 106: If it is a new mode, the mode with less popularity among the existing modes at the current frequency point is replaced by the new mode.

[0034] Step 108: Update the mean, variance, and heat of the mode at the current frequency point; Step 110: When the instantaneous interference or electromagnetic background noise intensity changes for the first time, the mean value of the original mode at the current frequency point will continue to be used as the current electromagnetic background noise intensity.

[0035] Step 112: If the electromagnetic background noise intensity at the current frequency point changes and lasts for a preset time, the original mode of the current frequency point is updated to the new mode; the processing continues for the next frequency point until all frequency points are traversed.

[0036] The above-mentioned dynamic zeroing and suppression method for electromagnetic background noise includes: initializing the electromagnetic background noise, initializing two modes for each frequency point; each mode includes a mean, variance, and heat; collecting electromagnetic background noise according to a preset period, and after obtaining the electromagnetic background amplitude value, determining the final attribution probability of the mode at each frequency point based on the amplitude value of each frequency point and the mean and variance of the corresponding mode; and switching modes in real time through modal judgment based on the final attribution probability of the mode at the current frequency point. While ensuring timeliness, it also effectively suppresses transient interference and dynamically zeroes long-standing electromagnetic background noise. This method can adaptively and dynamically adjust the noise model, achieve noise separation, and achieve electromagnetic background noise suppression that balances real-time performance and precision, thus breaking through the application bottleneck of existing technologies.

[0037] In one embodiment, step 102 includes: collecting electromagnetic background noise according to a preset period, and after obtaining the electromagnetic background amplitude value, calculating the attribution probability of each mode based on the amplitude value of each frequency point and the mean and variance of the mode of the corresponding frequency point; the expression of the attribution probability of the mode is: ; in, is the probability of belonging to the mode, is the mean of the modes before updating, is the variance of the mode before updating, is the electromagnetic background amplitude value.

[0038] If the second mode corresponding to a frequency point has not been enabled, the attribution probability of the mode is set to 0; the attribution probability of the new mode is set to the preset value; based on the matrix consisting of the attribution probabilities of the two modes corresponding to a frequency point, the attribution probability of the new mode, and the heat of the two modes, the final attribution probability of the mode at each frequency point is determined.

[0039] In one embodiment, the final attribution probability of the modality in step 102 is expressed as: ; in, is the final probability of belonging, Represents the result of matrix binarization, Represents the matrix composed of the heat of the two modes, is the probability of belonging to the mode, and n is the number of Probs that exist.

[0040] In one embodiment, the heat calculation expression of the modality is: ; in, is the popularity of the mode before updating, Update the heat of the previous mode at the previous moment, is the final probability of belonging.

[0041] In one embodiment, the modal mean update expression is: ; in, is the mean of the updated mode, is the mean of the modes before updating, is the electromagnetic background amplitude, is the final probability of belonging, The popularity of the modal before the update.

[0042] In one embodiment, the variance update expression of the modality is: ; in, is the variance of the updated modality, is the mean of the modes before updating, is the electromagnetic background amplitude, is the final probability of belonging, is the popularity of the mode before updating, is the mean of the updated mode, is the square of the variance of the mode before updating, , is the variance of the modality before updating.

[0043] In one embodiment, the modal heat update expression is: ; in, is the popularity of the updated modal, To preset the window size, The popularity of the modal before the update.

[0044] Specifically, after initialization is completed, modal calculation and switching judgment are dynamically performed according to a certain beat time N, where N is a preset time.

[0045] After obtaining the electromagnetic background amplitude value in real time, the amplitude value obtained at each frequency point is , and the mean of each mode and variance The modal attribution probability is calculated by the expression of the modal attribution probability. However, if the second mode is not enabled at this time, Finally, the probability of belonging to the mode is set to zero; finally, the probability of belonging to a new mode is set to 0.1, so that three belonging probabilities can be obtained. The three belonging probabilities are normalized by the expression of the final belonging probability of the mode to obtain the final belonging probability.

[0046] After obtaining the attribution probability, the final attribution probability result is calculated to determine whether the current observation belongs to the new mode. If it belongs to the new mode, the heat of the two existing modes will be Replacing a modal with a smaller value does not necessarily mean that the modal will be used, because the popularity of the new modal is not necessarily higher than the popularity of the original modal with a higher popularity value. The heat value calculation formula is shown in the heat calculation expression of the modal above.

[0047] If the original mode has been stable, the heat value It will be a higher state, so the generation of a new mode will not cause the mode to switch. The original mode will continue to ,variance , and popularity Update the mean using the modal mean update expression , update the variance using the modal variance update expression , considering that when the mode with higher heat value has not been updated, the heat will be attenuated through the heat update expression of the mode, where This is the default value. The smaller the value, the faster the heat decay. This is to indicate that the mode has not been updated, and to switch to the new mode that is constantly updating more quickly.

[0048] The above is the modal calculation of a single frequency point, which includes the modal probability calculation, the update calculation of each value in the mode, etc. When the instantaneous interference or electromagnetic background noise does change for the first time, the mean value in the old mode will continue to be used. As the current electromagnetic background noise intensity. If the electromagnetic background noise intensity of the frequency point changes and lasts for a period of time, the new mode will replace the old mode. The replacement time here is set by the preset value. and N decides.

[0049] 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. 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.

[0050] In one embodiment, a dynamic zeroing and suppression device for electromagnetic background noise is provided, comprising: an electromagnetic background noise initialization module, a modal final attribution probability determination module, and a modal judgment and modal real-time switching module, wherein: The electromagnetic background noise initialization module is used to initialize the electromagnetic background noise and initialize two modes for each frequency point; each mode includes: mean, variance and heat.

[0051] The modal final attribution probability determination module is used to collect electromagnetic background noise according to a preset period. After obtaining the electromagnetic background amplitude value, the final attribution probability of the mode at each frequency point is determined based on the amplitude value of each frequency point and the mean and variance of the corresponding mode.

[0052] The modal judgment and real-time modal switching module is used to determine whether the current observation belongs to a new modality based on the final attribution probability of the modality of the current frequency point; if it belongs to a new modality, the mode with less heat in the existing modes of the current frequency point is replaced by the new modality; the mean, variance and heat of the mode of the current frequency point are updated; when the instantaneous interference or electromagnetic background noise intensity changes for the first time, the mean of the original mode of the current frequency point will continue to be used as the current electromagnetic background noise intensity; if the electromagnetic background noise intensity of the current frequency point changes and lasts for a preset time length, the original mode of the current frequency point will be updated to the new mode; continue to process the next frequency point until all frequency points have been traversed.

[0053] In one embodiment, the modal final attribution probability determination module is further configured to collect electromagnetic background noise according to a preset period. After obtaining the electromagnetic background amplitude value, the attribution probability of each mode is calculated based on the amplitude value of each frequency point and the mean and variance of the mode at the corresponding frequency point: ; in, is the probability of belonging to the mode, is the mean of the modes before updating, is the variance of the mode before updating, is the electromagnetic background amplitude value.

[0054] If the second mode corresponding to a frequency point has not been enabled, the attribution probability of the mode is set to 0; the attribution probability of the new mode is set to the preset value; based on the matrix consisting of the attribution probabilities of the two modes corresponding to a frequency point, the attribution probability of the new mode, and the heat of the two modes, the final attribution probability of the mode at each frequency point is determined.

[0055] In one embodiment, the final attribution probability of the modality in the modality final attribution probability determination module is: ; in, is the final probability of belonging, Represents the result of matrix binarization, Represents the matrix composed of the heat of the two modes, is the probability of belonging to the mode, and n is the number of Probs that exist.

[0056] In one embodiment, the heat calculation expression of the modality in the modality final attribution probability determination module is: ; in, is the popularity of the mode before updating, Update the heat of the previous mode at the previous moment, is the final probability of belonging.

[0057] In one embodiment, the mean value update expression of the mode in the mode judgment and mode real-time switching module is: ; in, is the mean of the updated mode, is the mean of the modes before updating, is the electromagnetic background amplitude, is the final probability of belonging, The popularity of the modal before the update.

[0058] In one embodiment, the variance update expression of the mode in the mode decision and mode real-time switching module is: ; in, is the variance of the updated modality, is the mean of the modes before updating, is the electromagnetic background amplitude, is the final probability of belonging, is the popularity of the mode before updating, is the mean of the updated mode, is the square of the variance of the mode before updating, , is the variance of the modality before updating.

[0059] In one embodiment, the modality heat update expression in the modality judgment and modality real-time switching module is: ; in, is the popularity of the updated modal, To preset the window size, The popularity of the modal before the update.

[0060] For the specific definition of the dynamic zeroing and suppression device for electromagnetic background noise, please refer to the definition of the dynamic zeroing and suppression method for electromagnetic background noise above, and will not be repeated here. The various modules in the dynamic zeroing and suppression device for electromagnetic background noise described above can be implemented in whole or in part through software, hardware, or a combination thereof. The above modules can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory of the computer device in software form, so that the processor can call and execute the corresponding operations of the above modules.

[0061] 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 2 As 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 dynamic zeroing and suppression method for electromagnetic background noise 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.

[0062] Those skilled in the art will understand that Figure 2 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.

[0063] 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.

[0064] 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.

[0065] Those skilled in the art will understand 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 may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of 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 DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0066] 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.

[0067] 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 application. It should be noted that a person of ordinary skill 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 method for dynamic zeroing and suppression of electromagnetic background noise, characterized in that: The method comprises: Initialize the electromagnetic background noise and initialize two modes for each frequency point; each mode includes: mean, variance and heat; The electromagnetic background noise is collected according to a preset period. After the electromagnetic background amplitude value is obtained, the final attribution probability of the mode at each frequency point is determined based on the amplitude value of each frequency point and the mean and variance of the corresponding mode. According to the final attribution probability of the mode at the current frequency point, determine whether the current observation belongs to the new mode; If it is a new mode, the mode with a heat value less than the preset threshold among the existing modes at the current frequency point will be replaced with the new mode; Update the mean, variance and heat of the mode of the current frequency point; When the instantaneous interference or electromagnetic background noise intensity changes for the first time, the mean value of the original mode at the current frequency point will continue to be used as the current electromagnetic background noise intensity; If the electromagnetic background noise intensity at the current frequency point changes and lasts for a preset time, the original mode of the current frequency point is updated to the new mode; the processing continues for the next frequency point until all frequency points are traversed.

2. The method for dynamic zeroing and suppression of electromagnetic background noise according to claim 1, characterized in that: The electromagnetic background noise is collected according to a preset period. After the electromagnetic background amplitude value is obtained, the probability of the mode belonging to each frequency point is determined based on the amplitude value of each frequency point and the mean and variance of the corresponding mode, including: The electromagnetic background noise is collected according to the preset period. After the electromagnetic background amplitude value is obtained, the attribution probability of each mode is calculated based on the amplitude value of each frequency point and the mean and variance of the mode at the corresponding frequency point: ； in, is the probability of belonging to the mode, is the mean of the modes before updating, is the variance of the mode before updating, is the electromagnetic background amplitude value; If the second mode corresponding to a frequency point is not enabled, the attribution probability of the mode is set to 0; Set the attribution probability of the new mode to the preset value; The final attribution probability of the mode at each frequency point is determined based on the matrix composed of the attribution probabilities of the two modes corresponding to a frequency point, the attribution probability of the new mode, and the heat of the two modes.

3. The method for dynamic zeroing and suppression of electromagnetic background noise according to claim 2, characterized in that: The final attribution probability of the mode is: ； in, is the final probability of belonging, Represents the result of matrix binarization, Represents the matrix composed of the heat of the two modes, is the probability of belonging to the mode, and n is the number of Probs that exist.

4. The method for dynamic zeroing and suppression of electromagnetic background noise according to claim 1, characterized in that: The heat calculation expression of the mode is: ； in, is the popularity of the mode before updating, Update the heat of the previous mode at the previous moment, is the final probability of belonging.

5. The method for dynamic zeroing and suppression of electromagnetic background noise according to claim 1, characterized in that: The modal mean update expression is: ； in, is the mean of the updated mode, is the mean of the modes before updating, is the electromagnetic background amplitude, is the final probability of belonging, The popularity of the modal before the update.

6. The method for dynamic zeroing and suppression of electromagnetic background noise according to claim 1, characterized in that: The modal variance update expression is: ； in, is the variance of the updated modality, is the mean of the modes before updating, is the electromagnetic background amplitude, is the final probability of belonging, is the popularity of the mode before updating, is the mean of the updated mode, is the square of the variance of the mode before updating, , is the variance of the modality before updating.

7. The method for dynamic zeroing and suppression of electromagnetic background noise according to claim 1, characterized in that: The modal heat update expression is: ； in, is the popularity of the updated modal, To preset the window size, The popularity of the modal before the update.

8. A dynamic zeroing and suppression device for electromagnetic background noise, characterized in that: The device comprises: The electromagnetic background noise initialization module is used to initialize the electromagnetic background noise and initialize two modes for each frequency point; each mode includes: mean, variance and heat; The final modal attribution probability determination module is used to collect electromagnetic background noise according to a preset period. After obtaining the electromagnetic background amplitude value, the final modal attribution probability of each frequency point is determined based on the amplitude value of each frequency point and the mean and variance of the corresponding mode. The modal judgment and real-time modal switching module is used to determine whether the current observation belongs to a new modality based on the final attribution probability of the modality of the current frequency point; if it belongs to a new modality, the modality with a heat value less than the preset heat value threshold in the existing modality of the current frequency point will be replaced with the new modality; the mean, variance and heat value of the modality of the current frequency point will be updated; when the instantaneous interference or electromagnetic background noise intensity changes for the first time, the mean value of the original modality of the current frequency point will continue to be used as the current electromagnetic background noise intensity; if the electromagnetic background noise intensity of the current frequency point changes and lasts for a preset time length, the original modality of the current frequency point will be updated to the new modality; processing will continue on the next frequency point until all frequency points have been traversed.

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 steps of the method for dynamic zeroing and suppressing electromagnetic background noise according to any one of claims 1 to 7 are 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 steps of the method for dynamically zeroing and suppressing electromagnetic background noise according to any one of claims 1 to 7 are implemented.

Images