Dynamic zeroing and suppression of electromagnetic background noise, apparatuses, devices, and media

Abstract

The application relates to a dynamic zeroing and suppression method, device, equipment and medium of electromagnetic background noise. The method comprises the following steps: initializing the electromagnetic background noise, initializing two modes for each frequency point; each mode comprises a mean value, a variance and a hot degree; collecting the electromagnetic background noise according to a preset period, and determining the final attribution probability of the mode of each frequency point according to the amplitude value of each frequency point and the mean value and the variance of the corresponding mode after the electromagnetic background amplitude value is obtained; and the mode is switched in real time according to the final attribution probability of the mode of the current frequency point through mode judgment, so that the timely effectiveness is ensured, the instantaneous interference can be effectively suppressed, and the long-existing electromagnetic background noise can be dynamically zeroed. The method can adaptively and dynamically adjust the noise model, realize noise separation, and give consideration to the electromagnetic background noise suppression method with real-time performance and precision, so as to break through the application bottleneck of the prior art.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electromagnetic noise suppression, in particular to a dynamic zeroing and suppression method, device and equipment of electromagnetic background noise and a medium. BACKGROUND

[0002] With the wide application of electronic devices and electromagnetic systems, electromagnetic background noise interference has become a key problem restricting the signal processing accuracy and system reliability. The traditional method has significant limitations in complex electromagnetic environment: first, the fixed structure filter (such as FIR / IIR) is difficult to adapt to the non-stationary and time-varying electromagnetic noise characteristics, resulting in noise estimation error accumulation; second, the multi-channel noise separation scheme needs additional hardware support, increasing the system complexity and cost; in addition, the existing algorithm lacks effective separation means for frequency spectrum overlapping electromagnetic interference (such as power harmonic and target signal), often relying on manual threshold setting or back-end signal processing, which is not real-time enough

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

[0004] Therefore, it is necessary to provide a dynamic zeroing and suppression method, device, equipment and medium of electromagnetic background noise in view of the above technical problems.

[0005] A dynamic zeroing and suppression method of electromagnetic background noise, the method comprising:

[0006] Initializing the electromagnetic background noise, initializing two modes for each frequency point; each mode includes: mean, variance and heat.

[0007] According to the preset period, the electromagnetic background noise is collected, and when the electromagnetic background amplitude value is obtained, the final attribution probability of each frequency point mode is determined according to the amplitude value of each frequency point and the mean and variance of the corresponding mode.

[0008] According to the final attribution probability of the mode of the current frequency point, it is judged whether the current observation belongs to a new mode.

[0009] When it belongs to a new mode, the mode with a heat less than a preset heat threshold in the existing mode of the current frequency point is replaced by a new mode.

[0010] The mean, variance and heat of the mode of the current frequency point are updated.

[0011] When the instantaneous interference or the 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.

[0012] If the electromagnetic background noise intensity of the current frequency point changes and lasts for a preset length of time, the original mode of the current frequency point is updated to a new mode; the next frequency point is processed, and the process is repeated until all frequency points are processed.

[0013] In one embodiment, the electromagnetic background noise is collected according to a preset period, and when the electromagnetic background amplitude value is obtained, the belonging probability of each mode of each frequency point is determined according to the amplitude value of each frequency point and the mean and variance of the corresponding mode, including:

[0014] The electromagnetic background noise is collected according to a preset period, and when the electromagnetic background amplitude value is obtained, the belonging probability of each mode is calculated according to the amplitude value of each frequency point and the mean and variance of the corresponding mode:

[0015] ;

[0016] Wherein, is the belonging probability of the mode, is the mean of the mode before updating, is the variance of the mode before updating, is the electromagnetic background amplitude value.

[0017] If the second mode corresponding to a certain frequency point has not been enabled, the belonging probability of the mode is set to 0.

[0018] The belonging probability of the new mode is set to a preset value.

[0019] According to the matrix composed of the belonging probability of the two modes corresponding to a frequency point, the belonging probability of the new mode, and the heat of the two modes, the final belonging probability of the mode of each frequency point is determined.

[0020] In one embodiment, the final belonging probability of the mode is:

[0021] ;

[0022] ;

[0023] Wherein, is the final belonging probability, represents the binarization result of the matrix, represents the matrix composed of the heat of the two modes, is the belonging probability of the mode, and n is the number of Prob.

[0024] In one embodiment, the heat calculation expression of the mode is:

[0025] ;

[0026] wherein, is the heat of the pre-update modal, is the heat of the pre-update modal at the previous time, is the final attribution probability.

[0027] In one of the embodiments, the mean update expression of the modal is:

[0028] ;

[0029] wherein, is the mean of the post-update modal, is the mean of the pre-update modal, is the electromagnetic background amplitude value, is the final attribution probability, is the heat of the pre-update modal.

[0030] In one of the embodiments, the variance update expression of the modal is:

[0031] ;

[0032] wherein, is the variance of the post-update modal, is the mean of the pre-update modal, is the electromagnetic background amplitude value, is the final attribution probability, is the heat of the pre-update modal, is the mean of the post-update modal, is the square of the variance of the pre-update modal, , is the variance of the pre-update modal.

[0033] In one of the embodiments, the heat update expression of the modal is:

[0034] ;

[0035] wherein, is the heat of the post-update modal, is the preset window size, is the heat of the pre-update modal.

[0036] A dynamic zeroing and suppression device of electromagnetic background noise, the device comprises:

[0037] An electromagnetic background noise initialization module, configured to initialize the electromagnetic background noise, and initialize two modals for each frequency point; each modal comprises a mean, a variance, and a heat.

[0038] The modal final attribution probability determination module is configured to collect electromagnetic background noise according to a preset period, and determine the final attribution probability of each frequency point of the modal according to the amplitude value of each frequency point and the mean value and variance of the corresponding modal after obtaining the electromagnetic background amplitude value.

[0039] The modal decision and modal real-time switching module is configured to determine whether the current observation belongs to a new modal according to the final attribution probability of the modal of the current frequency point, replace a modal with a heat less than a preset heat threshold in the existing modal of the current frequency point with the new modal when the current observation belongs to the new modal, update the mean value, variance and heat of the modal of the current frequency point, use the mean value of the original modal of the current frequency point as the current electromagnetic background noise intensity when the intensity of the instantaneous interference or electromagnetic background noise changes for the first time, update the original modal of the current frequency point to the new modal when the intensity of the electromagnetic background noise of the current frequency point changes and lasts for a preset length of time, and continue to process the next frequency point until all the frequency points are traversed.

[0040] A computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of any of the above methods when executing the computer program.

[0041] A computer readable storage medium stores a computer program, and the computer program implements the steps of any of the above methods when executed by a processor.

[0042] The above electromagnetic background noise dynamic zeroing and suppression method, device, equipment and medium, the method comprises: initializing the electromagnetic background noise, initializing two modes for each frequency point; each mode comprises: mean value, variance and heat; collecting electromagnetic background noise according to a preset period, and determining the final attribution probability of each frequency point of the modal according to the amplitude value of each frequency point and the mean value and variance of the corresponding modal after obtaining the electromagnetic background amplitude value; and determining whether the current observation belongs to a new modal according to the final attribution probability of the modal of the current frequency point, replacing a modal with a heat less than a preset heat threshold in the existing modal of the current frequency point with the new modal when the current observation belongs to the new modal, updating the mean value, variance and heat of the modal of the current frequency point, using the mean value of the original modal of the current frequency point as the current electromagnetic background noise intensity when the intensity of the instantaneous interference or electromagnetic background noise changes for the first time, updating the original modal of the current frequency point to the new modal when the intensity of the electromagnetic background noise of the current frequency point changes and lasts for a preset length of time, and continuing to process the next frequency point until all the frequency points are traversed. The method can adaptively and dynamically adjust the noise model, realize noise separation, and take into account the real-time and precision of the electromagnetic background noise suppression method to break through the application bottleneck of the prior art. BRIEF DESCRIPTION OF DRAWINGS

[0043] Figure 1 It is a flowchart of the electromagnetic background noise dynamic zeroing and suppression method in one embodiment;

[0044] Figure 2 It is an internal structure diagram of the computer device in one embodiment. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical scheme and advantages of the present application more clear, the present application is further described in detail below in combination with the drawings and examples. It should be understood that the specific examples described herein are only used to explain the present application and not to limit the present application.

[0046] In one embodiment, as shown in Figure 1 , a dynamic zeroing and suppression method of electromagnetic background noise is provided, which comprises the following steps:

[0047] Step 100: initialization of electromagnetic background noise, two modes are initialized for each frequency point; each mode includes: mean, variance and heat.

[0048] Specifically, the electromagnetic background noise is initialized, and when 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 , variance and heat in each mode, and the heat of the first mode will not be zero. The initialization process will repeatedly calculate the mode for each frequency point without interruption, and the calculation duration T is a preset value.

[0049] After initialization, mode calculation and switching decision are dynamically performed according to a certain beat time N, and N is a preset time.

[0050] Step 102: collecting electromagnetic background noise according to a preset period, when the 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 and variance of the corresponding mode.

[0051] Step 104: determining whether the current observation belongs to a new mode according to the final attribution probability of the mode of the current frequency point.

[0052] Step 106: when it belongs to a new mode, the mode with smaller heat in the existing mode of the current frequency point is replaced by the new mode.

[0053] Step 108: updating the mean, variance and heat of the mode of the current frequency point;

[0054] Step 110: when the instantaneous interference or the electromagnetic background noise intensity changes for the first time, the mean of the original mode of the current frequency point will be used as the current electromagnetic background noise intensity.

[0055] Step 112: if the electromagnetic background noise intensity of the current frequency point changes and lasts for a preset length of time, the original mode of the current frequency point is updated to a new mode; the next frequency point is processed, and the process is repeated until all frequency points are processed.

[0056] The method for dynamic zeroing and suppression of electromagnetic background noise comprises: initializing the electromagnetic background noise, initializing two modes for each frequency point; each mode comprises: mean, variance, and hotness; collecting the electromagnetic background noise according to a preset period, and determining the final attribution probability of each mode of each frequency point according to the amplitude value of each frequency point and the mean and variance of the corresponding mode after the electromagnetic background amplitude value is obtained; and switching the mode in real time through mode decision according to the final attribution probability of the mode of the current frequency point, thereby effectively suppressing the instantaneous interference while ensuring the timeliness and dynamically zeroing the long-existing electromagnetic background noise. The method can adaptively and dynamically adjust the noise model, realize noise separation, and balance the real-time performance and the accuracy of the electromagnetic background noise suppression method, so as to break through the application bottleneck of the prior art.

[0057] In one of the embodiments, step 102 comprises: collecting the electromagnetic background noise according to a preset period, and calculating the attribution probability of each mode according to the amplitude value of each frequency point and the mean and variance of the mode of the corresponding frequency point after the electromagnetic background amplitude value is obtained.

[0058] ;

[0059] wherein, is the attribution probability of the mode, is the mean of the mode before updating, is the variance of the mode before updating, is the electromagnetic background amplitude value.

[0060] If the second mode corresponding to a certain frequency point has not been enabled, the attribution probability of the mode is set to 0, and the attribution probability of the new mode is set to a preset value; and the final attribution probability of the mode of each frequency point is determined according to 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 hotness of the two modes.

[0061] In one of the embodiments, the expression of the final attribution probability of the mode in step 102 is:

[0062] ;

[0063] ;

[0064] wherein, is the final attribution probability, represents the binarization result of the matrix, represents the matrix composed of the hotness of the two modes, is the attribution probability of the mode, and n is the number of existing Prob.

[0065] In one of the embodiments, the hotness update expression of the mode is:

[0066] ;

[0067] wherein, is the hotness of the mode before update, is the hotness of the mode before update at the previous time, is the final attribution probability.

[0068] In one of the embodiments, the mean update expression of the mode is:

[0069] ;

[0070] wherein, is the mean of the mode after update, is the mean of the mode before update, is the electromagnetic background amplitude value, is the final attribution probability, is the hotness of the mode before update.

[0071] In one of the embodiments, the variance update expression of the mode is:

[0072] ;

[0073] wherein, is the variance of the mode after update, is the mean of the mode before update, is the electromagnetic background amplitude value, is the final attribution probability, is the hotness of the mode before update, is the mean of the mode after update, is the square of the variance of the mode before update, , is the variance of the mode before update.

[0074] In one of the embodiments, the hotness update expression of the mode is:

[0075] ;

[0076] wherein, is the hotness of the mode after update, is the preset window size, is the hotness of the mode before update.

[0077] Specifically, after the initialization is completed, the mode calculation and switching decision are dynamically performed according to a certain beat time N, and N is a preset time.

[0078] After acquiring the electromagnetic background amplitude value in real time, based on the amplitude value obtained at each frequency point... , and the mean of each mode and variance Modality assignment probability is calculated using the expression for modality assignment probability. However, if the second modality has not yet been activated, it is calculated using... The probability of this mode being assigned is then zero; finally, a probability of being assigned to a new mode is set to 0.1, thus obtaining three assignment probabilities. The final assignment probability is obtained by normalizing the three assignment probabilities using the expression for the final assignment probability of the mode.

[0079] After obtaining the attribution probability, the final attribution probability result is used to determine whether the current observation belongs to the new mode. If it belongs to the new mode, the heat values ​​from the two existing modes are then compared. The mode with the smaller heat value is replaced, but this does not mean that the mode will be used, because the heat value of the new mode may not be higher than that of the original mode with the higher heat value. The heat value calculation formula is shown in the heat value calculation expression of the above modes.

[0080] If the original mode remains stable, then the heat value It will definitely be a relatively high state, so the emergence of a new mode will not cause a mode switch. The existing mode will continue to affect the mean. ,variance and popularity To update, the mean is updated using the modal mean update expression. The variance is updated using the modal variance update expression. Considering that when modes with high heat values ​​have not been updated, the heat value will be decayed through the heat value update expression of the modes, where This is a preset value; the smaller the value, the faster the heat decays. This serves two purposes: first, to indicate that the modality has not been updated, and second, to facilitate a faster switch to the constantly updating new modality.

[0081] The above describes the modal calculation for a single frequency point, including the calculation of mode assignment probabilities and the update calculation of each value in the mode. When a transient interference or the first genuine change in electromagnetic background noise occurs, the mean value from the old mode will continue to be used. This represents the current electromagnetic background noise intensity. If the electromagnetic background noise intensity at this frequency changes and persists for a period of time, the new mode will replace the old mode. The replacement time is set by a preset value. The decision is made by N.

[0082] It should be understood that, although Figure 1The steps in the flowchart are shown in sequence according to the arrows, but the steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified herein, the execution of the steps is not strictly limited in sequence, and the steps can be executed in other orders. Moreover, Figure 1 At least one of the steps in the flowchart can include multiple sub-steps or multiple stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution order of the sub-steps or stages is not necessarily sequential, but can be alternately executed with other steps or sub-steps or stages of other steps.

[0083] In one embodiment, a dynamic zeroing and suppression device of electromagnetic background noise is provided, comprising: an electromagnetic background noise initialization module, a modal final attribution probability determination module, and a modal decision and modal real-time switching module, wherein:

[0084] The electromagnetic background noise initialization module is configured to initialize the electromagnetic background noise and initialize two modes for each frequency point. Each mode includes a mean value, a variance, and a hotness.

[0085] The modal final attribution probability determination module is configured to collect electromagnetic background noise according to a preset period, and when the electromagnetic background amplitude value is obtained, determine the final attribution probability of each frequency point of the mode according to the amplitude value of each frequency point and the mean value and variance of the corresponding mode.

[0086] The modal decision and modal real-time switching module is configured to determine whether the current observation belongs to a new mode according to the final attribution probability of the current frequency point of the mode. When it belongs to a new mode, the mode with lower hotness in the existing mode of the current frequency point is replaced with the new mode. The mean value, variance, and hotness of the mode of the current frequency point are updated. When the intensity of the instantaneous interference or electromagnetic background noise changes for the first time, the mean value 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 length of time, the original mode of the current frequency point is updated to a new mode. The next frequency point is processed until all frequency points are processed.

[0087] In one embodiment, the modal final attribution probability determination module is further configured to collect electromagnetic background noise according to a preset period, and when the electromagnetic background amplitude value is obtained, calculate the attribution probability of each mode according to the amplitude value of each frequency point and the mean value and variance of the mode of the corresponding frequency point.

[0088] ;

[0089] wherein, is the attribution probability of the mode, to update the mean of the previous mode, to update the variance of the previous mode, to the electromagnetic background amplitude value.

[0090] if the second mode corresponding to a certain frequency point has not been enabled, set the attribution probability of the mode to 0; set the attribution probability of the new mode to a preset value; according to a matrix composed of the attribution probability of the two modes corresponding to a frequency point, the attribution probability of the new mode and the heat of the two modes, determine the final attribution probability of the mode of each frequency point.

[0091] In one of the embodiments, the final attribution probability of the mode in the mode final attribution probability determination module is:

[0092] ;

[0093] ;

[0094] wherein, is the final attribution probability, represents the binarization result of the matrix, represents the matrix composed of the heat of the two modes, is the attribution probability of the mode, and n is the number of Prob.

[0095] In one of the embodiments, the heat calculation expression of the mode in the mode final attribution probability determination module is:

[0096] ;

[0097] wherein, is the heat of the updated mode, is the heat of the previous updated mode, is the final attribution probability.

[0098] In one of the embodiments, the mean update expression of the mode in the mode decision and real-time switching module is:

[0099] ;

[0100] wherein, is the mean of the updated mode, is the mean of the previous mode, is the electromagnetic background amplitude value, is the final attribution probability, is the heat of the previous mode.

[0101] In one of the embodiments, the variance update expression of the mode in the mode decision and real-time switching module is:

[0102] ;

[0103] wherein, is the variance of the updated modality, is the mean of the updated modality, is the electromagnetic background amplitude value, is the final attribution probability, is the hotness of the updated modality, is the mean of the updated modality, is the square of the variance of the updated modality, , is the variance of the updated modality.

[0104] In one of the embodiments, the hotness update expression of the modality in the modality decision and modality real-time switching module is:

[0105] ;

[0106] wherein, is the hotness of the updated modality, is the preset window size, is the hotness of the updated modality.

[0107] The specific definition of the dynamic zeroing and suppression device of the electromagnetic background noise can refer to the definition of the dynamic zeroing and suppression method of the electromagnetic background noise in the above, which will not be repeated here. Each module in the dynamic zeroing and suppression device of the electromagnetic background noise can be realized by software, hardware and combinations thereof in whole or in part. 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 in the computer device in software form, so as to be called and executed by the processor to perform the operations corresponding to the above modules.

[0108] In one embodiment, a computer device is provided, which can be a terminal, and the internal structure diagram thereof can be as shown in Figure 2As 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 operating system and the computer program in the non-volatile storage medium to run. The network interface of the computer device is used to communicate with the external terminal through the network connection. The computer program is executed by the processor to implement an electromagnetic background noise dynamic zeroing and suppression method. 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 overlaid on the display screen, or a key, trackball or touchpad arranged on the shell of the computer device, or an external keyboard, touchpad or mouse, etc.

[0109] Those skilled in the art can understand that, Figure 2 The skilled in the art can understand that,

[0110] In one embodiment, a computer device is provided, including a memory and a processor, the memory stores a computer program, and the processor executes the computer program to implement the steps in the above method embodiments.

[0111] In one embodiment, a computer readable storage medium is provided, which stores a computer program, and the computer program is executed by a processor to implement the steps in the above method embodiments.

[0112] 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. The computer program can be stored in a non-volatile computer readable storage medium, and when the computer program is executed, the processes of the above-mentioned embodiments of the methods can be included. Any reference to memory, storage, databases, or other media in the embodiments provided by the present 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 but not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct RAMbus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.

[0113] The technical features of the above embodiments can be combined in any way. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described, but as long as the combination of the technical features does not exist, it should be considered as the scope of the present application.

[0114] The above embodiments only express several implementation manners of the present application, and the description is more specific and detailed, but it should not be understood as a limitation on the scope of the present application. It should be pointed out that for ordinary skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are all within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A method of dynamic zeroing and suppression of electromagnetic background noise, characterized in that, The method comprises: initializing the electromagnetic background noise, initializing two modes for each frequency point; each mode comprises: mean, variance and heat; acquiring the electromagnetic background noise according to a preset period, and determining the final attribution probability of the mode of each frequency point according to the amplitude value of each frequency point and the mean and variance of the corresponding mode after the electromagnetic background amplitude value is acquired; specifically comprising: acquiring the electromagnetic background noise according to a preset period, and calculating the attribution probability of each mode according to the amplitude value of each frequency point and the mean and variance of the corresponding mode after the electromagnetic background amplitude value is acquired: wherein, is the probability of belonging to the modality, is the mean of the modality before update, is the variance of the modality before update, is the electromagnetic background amplitude value; if the second mode corresponding to a certain 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 a preset value; determining the final attribution probability of the mode of each frequency point according to the matrix composed of the attribution probability of the two modes corresponding to one frequency point, the attribution probability of the new mode and the heat of the two modes: wherein, is the final attribution probability, denotes the matrix binarization result, denotes a matrix of the heat composition of the two modalities, n is the number of Prob present; determining whether the current observation belongs to a new mode according to the final attribution probability of the mode of the current frequency point; when it belongs to a new mode, the mode with heat less than a preset threshold in the existing mode of the current frequency point is replaced by the new mode; updating the mean, variance and heat of the mode of the current frequency point; when the intensity of the instantaneous interference or electromagnetic background noise 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 length of time, the original mode of the current frequency point is updated to a new mode; the next frequency point is processed until all frequency points are traversed.

2. The method of dynamic zeroing and suppression of electromagnetic background noise according to claim 1, characterized in that, The heat calculation expression of the mode is: wherein, is the heat of the updated previous modality, is the heat of the previous modality updated at the previous time.

3. The method of dynamic zeroing and suppression of electromagnetic background noise according to claim 1, characterized in that, The mean update expression of the mode is: wherein, is the mean of the updated modality, is the mean of the pre-updated modality, is the heat of the pre-updated modality.

4. The method of dynamic zeroing and suppression of electromagnetic background noise of claim 1, wherein, The variance update expression of the mode is: wherein, is the variance of the updated modality, is the mean of the updated modality, is the hotness of the updated modality, is the mean of the updated modality, is the square of the variance of the updated modality, , is the variance of the updated modality.

5. The method of dynamic zeroing and suppression of electromagnetic background noise of claim 1, wherein, The heat update expression of the mode is: wherein, is the hotness of the updated modality, is the preset window size, is the hotness of the pre-updated modality.

6. A dynamic zeroing and suppression of electromagnetic background noise device, characterized in that, The device comprises: an electromagnetic background noise initialization module, configured to initialize the electromagnetic background noise, and initialize two modes for each frequency point; each mode comprises: mean, variance and heat; a mode final attribution probability determination module, configured to acquire the electromagnetic background noise according to a preset period, and determine the final attribution probability of the mode of each frequency point according to the amplitude value of each frequency point and the mean and variance of the corresponding mode after the electromagnetic background amplitude value is acquired; specifically comprising: acquiring the electromagnetic background noise according to a preset period, and calculating the attribution probability of each mode according to the amplitude value of each frequency point and the mean and variance of the corresponding mode after the electromagnetic background amplitude value is acquired: wherein, is the probability of belonging to the modality, is the mean of the modality before update, is the variance of the modality before update, is the electromagnetic background amplitude value; if the second mode corresponding to a certain 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 a preset value; and the final attribution probability of the mode of each frequency point is determined according to the matrix composed of the attribution probability of the two modes corresponding to one frequency point, the attribution probability of the new mode and the heat of the two modes: wherein, is the final attribution probability, denotes the matrix binarization result, denotes the matrix of the heat composition of the two modalities, is the attribution probability of the modality, n is the number of Prob existing; A mode decision and real-time switching module is configured to determine whether the current observation belongs to a new mode according to the final attribution probability of the mode of the current frequency point; when the current observation belongs to the new mode, a mode with a heat less than a preset heat threshold value in the existing mode of the current frequency point is replaced by the new mode; the mean, variance and heat of the mode of the current frequency point are updated; when the intensity of the instantaneous interference or electromagnetic background noise changes for the first time, the mean of the original mode of the current frequency point is continuously 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 length of time, the original mode of the current frequency point is updated to the new mode; the next frequency point is continuously processed until all the frequency points are processed. 7.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-6 when the computer program is executed by the processor. The computer program is executed by the processor to implement the steps of the dynamic zeroing and suppression method of the electromagnetic background noise according to any one of claims 1 to 5.

8. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the dynamic zeroing and suppression method of the electromagnetic background noise according to any one of claims 1 to 5.

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