Anti-interference method and device applied to low-frequency communication

Abstract

The invention provides an anti-interference method and device applied to low-frequency communication, and belongs to the technical field of wireless communication anti-interference, and the method comprises the steps: obtaining a received signal, carrying out the time domain windowing processing, then carrying out the fast Fourier transform, converting the received signal from a time domain to a frequency domain, obtaining an initial frequency domain signal, and transmitting the initial frequency domain signal to a receiver; then, the amplitude response of the filter is used as a standard template to be matched with the power spectrum estimation of the initial frequency domain signal, and under the condition that the power spectrum of the filtering signal exceeds a preset threshold value of the matching template, the frequency point is determined as interference, and an interference detection result is obtained; according to an interference detection result, carrying out notch processing on the initial frequency domain signal so as to carry out accurate suppression on a detected interference frequency point and obtain a target frequency domain signal; after the frequency domain processing is completed, inverse fast Fourier transform and time domain reconstruction are carried out on the target frequency domain signal to obtain a reconstructed target signal, so that frequency domain narrowband interference suppression is realized, and the quality and real-time performance of signal processing are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of wireless communication anti-interference, and in particular to an anti-interference method and device applied to low-frequency communication. Background Art

[0002] Low-frequency (10kHz-100kHz) radio propagates in the Earth-ionosphere waveguide. It has stable propagation, is not affected by nuclear explosions and ionospheric disturbances, has low propagation attenuation in the atmosphere (-3dB / 1000km), can penetrate deep sea water and the earth, and is suitable for long-distance communication, underwater communication and ground-penetrating communication.

[0003] Narrowband interference is a type of interference that occurs when low-frequency communication is installed on a platform. Its characteristic is that its bandwidth is significantly lower than the bandwidth of the communication signal, but its intensity is significantly higher than the intensity of the communication signal.

[0004] A common method for suppressing narrowband interference is to create a narrowband notch, also known as a notch filter. The purpose of a notch filter is to provide significant attenuation within the frequency range of the narrowband interference while maintaining the integrity of the communication signal as much as possible. Common notch filter design methods include those based on IIR (Infinite Impulse Response) filters and FIR (Finite Impulse Response) filters. IIR filters have a steep frequency response and can provide stronger narrowband attenuation, but their phase response can be nonlinear, potentially causing signal distortion. FIR filters have a linear phase response and can maintain signal integrity, but their frequency response is relatively flat, requiring a higher order to achieve the same attenuation effect. Therefore, when selecting a notch filter type, a trade-off must be made between attenuation performance and signal integrity.

[0005] While both of the aforementioned methods are time-domain filters, in many applications, frequency-domain notching is more desirable. This is primarily due to its unique advantages. First, frequency-domain operations allow for more intuitive observation and control of the signal's spectral characteristics, making it easier to precisely locate and suppress narrowband interference. Second, by leveraging efficient algorithms such as the Fast Fourier Transform (FFT), frequency-domain filtering can be more efficient than time-domain filtering in certain situations. The advantages of frequency-domain notching lie in its flexibility and controllability. For example, the position and shape of the notch function can be dynamically adjusted based on the frequency of the interference. Furthermore, frequency-domain notching can easily handle multiple narrowband interferences by simply notching multiple interference frequencies within the spectrum.

[0006] However, frequency domain notching may introduce some distortion, such as spectral leakage and the Gibbs phenomenon. To mitigate these effects, some techniques can be used, such as windowing and overlap-addition. In addition, the performance of frequency domain notching is also limited by the FFT resolution. If the number of FFT points is insufficient, it may not be able to accurately locate and suppress narrowband interference. Although windowing reduces spectral leakage, it also widens the mainlobe width and reduces the frequency resolution. Narrowband interference is characterized by a very narrow bandwidth but a strong signal. If windowing causes the frequency resolution to decrease, the spectrum of the narrowband interference may be widened and mixed with the surrounding communication signals, making it difficult for the notch filter to accurately locate and suppress the interference, resulting in more of the communication signal spectrum being affected by signal distortion.

[0007] Therefore, a solution is needed to perform frequency domain notching processing in a strong narrowband interference environment to achieve narrowband interference suppression. Summary of the Invention

[0008] The present invention provides an anti-interference method and device for low-frequency communication, which are used to solve the defects of the prior art and perform frequency domain notch processing in a strong narrowband interference environment to achieve narrowband interference suppression. In a first aspect, the present invention provides an anti-interference method applied to low-frequency communication, the method comprising: Obtaining a received signal, performing time domain windowing processing, and then performing a fast Fourier transform to convert the received signal from the time domain to the frequency domain to obtain an initial frequency domain signal; Matching the filter amplitude response as a standard template with the power spectrum estimation of the initial frequency domain signal, and determining that interference exists at the frequency point when the power spectrum of the filtered signal exceeds a preset threshold of the matching template, thereby obtaining an interference detection result; According to the interference detection result, a deep peak clipping mechanism is used to generate a suppression coefficient, and according to the suppression coefficient, a notch process is performed on the initial frequency domain signal to accurately suppress the detected interference frequency point and obtain a target frequency domain signal; The target frequency domain signal is subjected to inverse fast Fourier transform and time domain reconstruction to obtain a reconstructed target signal, thereby achieving frequency domain narrowband interference suppression.

[0009] Furthermore, the received signal is subjected to time domain windowing processing and then subjected to fast Fourier transform to convert the received signal from the time domain to the frequency domain to obtain an initial frequency domain signal, including: After digitally processing the received signal, a sampling point sequence is obtained; the sampling point sequence is intercepted using a window function, and an overlapping windowing technique is used to make adjacent intercepted segments in the sampling point sequence partially overlap in the time domain, thereby obtaining a windowed sequence segment; Performing a fast Fourier transform on the windowed sequence segment to convert the signal from the time domain to the frequency domain to obtain a frequency domain signal.

[0010] Furthermore, the filter amplitude response is used as a standard template to match the power spectrum estimation of the initial frequency domain signal. When the power spectrum of the filtered signal exceeds a preset threshold of the matching template, the frequency point is determined to have interference, and an interference detection result is obtained; including: According to recent j The power spectrum estimate of the initial frequency domain signal of the segment sequence is calculated in dB form Specifically expressed as:

[0011] in, Ri ( k ) is the The frequency domain signal of the segment windowed received signal after short-time Fourier transform; The amplitude response of the matched filter is used as a standard template and the matched template is obtained after moving; Perform interference detection based on the standard template and the matching template to obtain an interference detection result; The interference detection is specifically as follows:

[0012] like P ( k )> M ( k )+ T , then determine the frequency k Interference exists, mark D ( k )=1, otherwise D ( k )=0; in, To interfere with the detection results, M ( k ) is the matching template, T Preset threshold for matching templates.

[0013] Furthermore, the deep peak clipping mechanism is used to generate the suppression coefficient, specifically: ; when When , it means that no interference is detected at this frequency point, and the suppression curve Indicates no suppression. hour, Indicates the difference between the power spectrum estimation value and the matching template exceeding the suppression threshold T.

[0014] Furthermore, after the deep peak clipping mechanism is used to generate the suppression coefficient, the following is also included: The value of the suppression coefficient is dynamically adjusted according to the interference intensity to achieve differentiated suppression of interference of different intensities.

[0015] Furthermore, performing an inverse fast Fourier transform on the target frequency domain signal and performing time domain reconstruction to obtain a reconstructed target signal to achieve frequency domain narrowband interference suppression includes: Performing an inverse fast Fourier transform on the target frequency domain signal to restore the frequency domain signal to a time domain signal to obtain a target time domain signal; An overlap-add operation is performed on the target time domain signal according to the overlap windowing technology, and the signal is reconstructed using the window function to smooth the signal boundary, thereby obtaining a reconstructed target signal and realizing frequency domain narrowband interference suppression.

[0016] Furthermore, in the time domain windowing processing, a tower-based window function is used to perform 1 / 4 overlapping windowing processing.

[0017] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the anti-interference method applied to low-frequency communication as described above is implemented.

[0018] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the anti-interference method applied to low-frequency communication as described above is implemented.

[0019] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements any of the above-described anti-interference methods applied to low-frequency communications.

[0020] The present invention provides an anti-interference method and device for low-frequency communication, which have the following advantages over the prior art: This application obtains the received signal by performing time domain windowing processing and then performing fast Fourier transform to convert the received signal from the time domain to the frequency domain to obtain the initial frequency domain signal. This not only effectively reduces spectrum leakage but also ensures the integrity of the signal. It lays a high-quality foundation for subsequent frequency domain analysis in the early stage of signal processing and avoids the signal distortion problem caused by windowing processing in traditional methods.

[0021] The filter amplitude response is then used as a standard template to match the power spectrum estimate of the initial frequency domain signal. When the power spectrum of the filtered signal exceeds a preset threshold of the matching template, the frequency point is determined to have interference, and an interference detection result is obtained. By matching the filter amplitude response as a standard template with the power spectrum estimate of the signal, the present application can accurately detect narrowband interference under conditions of unknown signal-to-noise ratio, and can effectively distinguish interference signals from useful signals even in complex signal environments, thereby providing a reliable basis for subsequent interference suppression.

[0022] Based on the interference detection results, a deep peak clipping mechanism is used to generate a suppression coefficient. Based on the suppression coefficient, the initial frequency domain signal is notched to precisely suppress the detected interference frequency points and obtain the target frequency domain signal. After completing the frequency domain processing, the target frequency domain signal is subjected to an inverse fast Fourier transform and reconstructed in the time domain to obtain the reconstructed target signal, achieving frequency domain narrowband interference suppression. This approach not only addresses the problems of signal distortion, inaccurate interference location, and useful signal loss found in traditional methods, but also significantly improves the quality and real-time performance of signal processing, providing strong technical support for the stable operation of low-frequency communication systems in complex electromagnetic environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0024] Figure 1 This is one of the flow charts of the anti-interference method applied to low-frequency communication provided by the present invention; Figure 2 This is the second flow chart of the anti-interference method applied to low-frequency communication provided by the present invention; Figure 3 This is a flow chart of a time domain windowing process provided by the present invention; Figure 4 This is a spectrum diagram of a matching template and filtered signal power provided by the present invention; Figure 5 It is a schematic structural diagram of an optional electronic device provided by the present invention. DETAILED DESCRIPTION

[0025] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0026] It should be noted that, in the description of the embodiments of the present invention, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "include a ..." do not exclude the presence of other identical elements in the process, method, article or device comprising the elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to the specific circumstances.

[0027] The terms "first," "second," and the like in this application are used to distinguish similar objects, and are not used to describe a particular order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate, so that the embodiments of this application can be implemented in orders other than those illustrated or described herein. Furthermore, the objects distinguished by "first," "second," and the like generally refer to a class of objects and do not limit the number of objects. For example, the first object may be one or more.

[0028] Below, the exemplary embodiments according to the present application will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application, and it should be understood that the present application is not limited to the exemplary embodiments described herein.

[0029] Figure 1 FIG. 1 illustrates one of the structural diagrams of an anti-interference method optionally applied to low-frequency communication according to an embodiment of the present application; Figure 1 As shown, the anti-interference method applied to low-frequency communication according to an embodiment of the present application includes: S102, obtaining a received signal, performing time domain windowing processing, and then performing a fast Fourier transform to convert the received signal from the time domain to the frequency domain to obtain an initial frequency domain signal; S104, matching the filter amplitude response as a standard template with the power spectrum estimation of the initial frequency domain signal, and if the power spectrum of the filtered signal exceeds a preset threshold of the matching template, determining that the frequency point has interference, and obtaining an interference detection result; S106, generating a suppression coefficient using a deep peak clipping mechanism based on the interference detection result, and performing notch processing on the initial frequency domain signal based on the suppression coefficient to accurately suppress the detected interference frequency point and obtain a target frequency domain signal; S108 , performing inverse fast Fourier transform on the target frequency domain signal and performing time domain reconstruction to obtain a reconstructed target signal, thereby achieving frequency domain narrowband interference suppression.

[0030] In low-frequency communication systems, received signals typically contain useful signals, noise signals, and narrowband interference signals. To suppress narrowband interference, these signals must first be processed. Specifically, the present invention converts the received signal from the time domain to the frequency domain by performing time-domain windowing and then performing a fast Fourier transform (FFT) on the received signal, obtaining an initial frequency-domain signal. This process is based on the fundamental principle of signal processing: the FFT converts the signal's time-domain representation into a frequency-domain representation, enabling a more intuitive observation of the signal's frequency characteristics, thus providing a foundation for subsequent interference detection and suppression.

[0031] In the frequency domain, the present invention employs an interference detection method based on power spectrum matching. Specifically, the filter amplitude response is used as a standard template and matched against the power spectrum estimate of the initial frequency domain signal. If the power spectrum of the filtered signal exceeds a preset threshold of the matching template, interference is determined at that frequency point, resulting in an interference detection result. The core of this method is to identify interference by comparing the difference between the signal power spectrum and the standard template, thereby achieving accurate detection of narrowband interference.

[0032] Based on the interference detection results, the present invention uses a deep clipping mechanism to generate suppression coefficients and then applies notching to the initial frequency domain signal based on these coefficients. This process accurately suppresses the detected interference frequencies, yielding the target frequency domain signal. The deep clipping mechanism is an adaptive suppression method that dynamically adjusts the suppression coefficients based on the intensity of the interference, thereby suppressing interference while maximizing the preservation of the desired signal.

[0033] Finally, the target frequency-domain signal undergoes an inverse fast Fourier transform (IFFT) and undergoes time-domain reconstruction to obtain the reconstructed target signal. This process restores the processed frequency-domain signal to a time-domain signal, thereby achieving frequency-domain narrowband interference suppression. Through these steps, the present invention can effectively suppress strong interference while maximally preserving the useful signal.

[0034] In an optional embodiment, Figure 2 FIG2 shows a second structural diagram of an anti-interference method optionally applied to low-frequency communication according to an embodiment of the present application. Figure 2As shown, the anti-interference method applied to low-frequency communication of the present application obtains the received signal, performs time domain windowing processing, and then performs fast Fourier transform to convert the received signal from the time domain to the frequency domain to obtain an initial frequency domain signal, including: digitally processing the received signal to obtain a sampling point sequence; using a window function to intercept the sampling point sequence, and using overlapping windowing technology to make adjacent intercepted segments in the sampling point sequence partially overlap in the time domain to obtain a windowed sequence segment; performing fast Fourier transform on the windowed sequence segment to convert the signal from the time domain to the frequency domain to obtain a frequency domain signal.

[0035] In this embodiment, the received signal is first digitized to obtain a sampling point sequence. For example, assuming the sampling rate of the received signal is 44.1 kHz, a series of discrete sampling points can be obtained through sampling. These sampling point sequences are discrete data sequences obtained by sampling the received signal, which includes a useful signal, a noise signal, and a narrowband interference signal. For example, the useful signal can be a modulated communication signal, the noise signal can be additive white Gaussian noise, and the narrowband interference signal can be an interference signal from another communication system.

[0036] Next, Figure 3 FIG. 1 is a flow chart of an optional time domain windowing process according to an embodiment of the present application, such as Figure 3 As shown, a window function is used to truncate the sampling point sequence, and overlapping windowing is employed to partially overlap adjacent segments in the sampling point sequence in the time domain. Overlapping windowing aims to reduce spectral leakage and compensate for signal loss caused by windowing. For example, a 1 / 4 overlap windowing strategy is employed, resulting in a 1 / 4 overlap between adjacent segments. This approach better preserves signal integrity while minimizing the impact of spectral leakage on signal processing.

[0037] The windowed sequence segments are then subjected to a Fast Fourier Transform (FFT) to convert the signal from the time domain to the frequency domain, yielding a frequency-domain signal. For example, using an 8192-point FFT for spectrum analysis provides high frequency resolution, facilitating the precise location of narrowband interference. The FFT transforms the signal's time-domain representation into the frequency domain, providing the foundation for subsequent interference detection and mitigation.

[0038] In an optional embodiment, the anti-interference method applied to low-frequency communication of the present application uses the filter amplitude response as a standard template to match the power spectrum estimation of the initial frequency domain signal. When the power spectrum of the filtered signal exceeds a preset threshold of the matching template, the frequency point is determined to be interfered, and an interference detection result is obtained, including: According to recent j The power spectrum estimate of the initial frequency domain signal of the segment sequence is calculated in dB form Specifically expressed as:

[0039] in, Ri ( k ) is the The frequency domain signal of the segment windowed received signal after short-time Fourier transform; The amplitude response of the matched filter is used as a standard template and the matched template is obtained after moving; Perform interference detection based on the standard template and the matching template to obtain an interference detection result; The interference detection is specifically as follows:

[0040] like P ( k )> M ( k )+ T , then determine the frequency k Interference exists, mark D ( k )=1, otherwise D ( k )=0; in, To interfere with the detection results, M ( k ) is the matching template, T Preset threshold for matching templates.

[0041] In the interference detection phase, the power spectrum estimation is calculated based on the initial frequency domain signal of the most recent j segments of the sequence. For example, the power spectrum estimation can be performed using the most recent j segments of the sequence, and its dB form can be expressed as:

[0042] in, Ri ( k ) is the The frequency domain signal of the segment windowed received signal after short-time Fourier transform; The amplitude response of the matched filter is used as the standard template, and the matching template is obtained after moving. Interference detection is performed based on the standard template and the matching template to obtain the interference detection result. Specifically, the interference detection process can be expressed as:

[0043] like P ( k )> M ( k )+ T , then determine the frequency kInterference exists, mark D ( k )=1, otherwise D ( k )=0; in, To interfere with the detection results, M ( k ) is the matching template, T Preset threshold for matching templates.

[0044] For example, the threshold value T = 10dB can be selected. In this way, the presence of narrowband interference can be accurately detected, providing a basis for subsequent interference suppression.

[0045] In an optional embodiment, the anti-interference method applied to low-frequency communication of the present application adopts a deep peak clipping mechanism to generate a suppression coefficient, specifically: ; when When , it means that no interference is detected at this frequency point, and the suppression curve Indicates no suppression. hour, Indicates the difference between the power spectrum estimation value and the matching template exceeding the suppression threshold T.

[0046] In the stage of generating suppression coefficients, a deep peak clipping mechanism is adopted. Figure 4 FIG shows a spectrum diagram of an optional matching template and filtered signal power according to an embodiment of the present application, such as Figure 4 Specifically, when interference is detected, D ( k )=1, the suppression coefficient is dynamically adjusted according to the interference intensity. For example, the suppression coefficient can be generated using the following formula: ; when When , it means that no interference is detected at this frequency point, and the suppression curve Indicates no suppression; when interference is detected hour, Indicates the difference between the power spectrum estimation value and the matching template exceeding the suppression threshold T.

[0047] When D(k) = 0, no interference is detected at that frequency, and the suppression coefficient (C(k) = 1) indicates no suppression. This allows the suppression coefficient to be dynamically adjusted based on the intensity of the interference, achieving differentiated suppression for interference of varying strengths. This approach effectively reduces useful signal loss while simultaneously suppressing interfering signals.

[0048] In an optional embodiment, after the deep peak clipping mechanism is used to generate the suppression coefficient in the anti-interference method applied to low-frequency communication of the present application, the method further includes: dynamically adjusting the value of the suppression coefficient according to the interference intensity to achieve differentiated suppression of interference of different intensities.

[0049] In this embodiment, dynamically adjusting the suppression coefficient based on interference intensity is key to achieving differentiated suppression. For example, for strong interference, a larger suppression coefficient can be generated to more effectively suppress it; for weak interference, a smaller suppression coefficient can be generated to reduce the impact on the useful signal. This approach achieves a good balance between suppressing interference and preserving the useful signal.

[0050] In an optional embodiment, the anti-interference method applied to low-frequency communication of the present application performs an inverse fast Fourier transform on the target frequency domain signal and performs time domain reconstruction to obtain a reconstructed target signal, thereby achieving frequency domain narrowband interference suppression, including: performing an inverse fast Fourier transform on the target frequency domain signal to restore the frequency domain signal to a time domain signal to obtain a target time domain signal; performing overlapping and adding operations on the target time domain signal according to the overlapping windowing technology, and using the window function to reconstruct the signal to smooth the signal boundary to obtain the reconstructed target signal, thereby achieving frequency domain narrowband interference suppression.

[0051] After completing frequency domain processing, the target frequency domain signal needs to be restored to a time domain signal. Specifically, an inverse fast Fourier transform (IFFT) is performed on the target frequency domain signal to obtain the target time domain signal. For example, the IFFT can be performed using the same number of points as the FFT to restore the frequency domain signal to the time domain. Then, an overlap-and-add operation is performed on the target time domain signal using an overlap windowing technique. A window function is used to reconstruct the signal to smooth signal boundaries and obtain the reconstructed target signal. For example, an overlap operation can be performed using the same overlapping method as windowing, adding the overlapping portions of adjacent sequence segments and reconstructing the signal using a window function to ensure signal continuity.

[0052] In an optional embodiment, in the anti-interference method applied to low-frequency communication of the present application, in the time domain windowing processing, a tower-based window function is used to perform 1 / 4 overlapping windowing processing.

[0053] The Taki window is a window function with excellent frequency resolution and sidelobe suppression, making it suitable for narrowband interference detection. For example, a Taki window function is used for windowing, with a window length of N and an overlap coefficient of γ (γ = 1 / 4). The overlapping windowing operation for a sampling point sequence is as follows: the window function is used to extract the first sequence segment of length N, then the second segment of length N is extracted from the end of the first segment at a position γN shifted forward, and the third segment of length N is extracted from the end of the second segment at a position γN shifted forward. This operation is repeated until the entire original sampling point sequence is extracted. This method reduces spectral leakage and compensates for signal loss caused by windowing through the overlapped portion, thereby improving signal processing quality.

[0054] In summary, the present invention achieves efficient and accurate frequency domain narrowband interference suppression through steps such as time domain windowing processing, fast Fourier transform, narrowband interference detection, generation of suppression coefficients, frequency domain notch processing, inverse fast Fourier transform and signal reconstruction, significantly improving the quality and real-time performance of signal processing.

[0055] Exemplary electronic devices Figure 5 is a schematic structural diagram of an optional electronic target device according to an embodiment of the present application, such as Figure 5 As shown, it includes a processor 502, a communication interface 504, a memory 506 and a communication bus 508, wherein the processor 502, the communication interface 504, and the memory 506 communicate with each other via the communication bus 508, wherein, Memory 506, for storing computer programs; The processor 502 is configured to execute the computer program stored in the memory 506 to implement the following steps: S1, obtaining a received signal, performing time domain windowing processing, and then performing a fast Fourier transform to convert the received signal from the time domain to the frequency domain to obtain an initial frequency domain signal; S2, matching the filter amplitude response as a standard template with the power spectrum estimation of the initial frequency domain signal, and if the power spectrum of the filtered signal exceeds a preset threshold of the matching template, determining that the frequency point has interference, and obtaining an interference detection result; S3, generating a suppression coefficient using a deep peak clipping mechanism based on the interference detection result, and performing notch processing on the initial frequency domain signal based on the suppression coefficient to accurately suppress the detected interference frequency point and obtain a target frequency domain signal; S4, performing inverse fast Fourier transform on the target frequency domain signal and performing time domain reconstruction to obtain a reconstructed target signal, thereby achieving frequency domain narrowband interference suppression.

[0056] Optionally, the communication bus may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 The communication interface is used for communication between the electronic target device and other devices.

[0057] The memory may include RAM, or may include non-volatile memory, such as at least one disk memory. Alternatively, the memory may also be at least one storage target device located away from the aforementioned processor.

[0058] The above-mentioned processor can be a general-purpose processor, including but not limited to: CPU (Central Processing Unit), NP (Network Processor), etc.; it can also be DSP (Digital Signal Processing), ASIC (Application Specific Integrated Circuit), FPGA (Field-Programmable Gate Array) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0059] Exemplary computer program products and computer-readable storage media In addition to the above-mentioned methods and devices, an embodiment of the present application may also be a computer program product, which includes computer program instructions, which, when executed by a processor, enable the processor to execute the steps of the anti-interference method applied to low-frequency communication according to various embodiments of the present application described in the above-mentioned "Exemplary Method" section of this specification.

[0060] The computer program product may be written in any combination of one or more programming languages ​​to implement the program code for performing the operations of the embodiments of the present application, including object-oriented programming languages ​​such as Java, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computing device, partially on the user's computing device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0061] In addition, an embodiment of the present application may also be a computer-readable storage medium having computer program instructions stored thereon, which, when executed by a processor, enable the processor to execute the steps of the motion object tracking method according to various embodiments of the present application described in the above "Exemplary Method" section of this specification.

[0062] The computer-readable storage medium can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can, for example, include but is not limited to a system, target device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination thereof. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0063] The basic principles of the present application have been described above in conjunction with specific embodiments. However, it should be noted that the advantages, strengths, and effects mentioned in this application are merely illustrative and not restrictive, and it should not be assumed that these advantages, strengths, and effects are required of each embodiment of this application. In addition, the specific details disclosed above are merely illustrative and facilitating understanding, and are not restrictive. The above details do not limit this application to necessarily being implemented using the above specific details.

[0064] The block diagrams of the devices, target devices, equipment, and systems involved in this application are merely illustrative examples and are not intended to require or imply that they must be connected, arranged, or configured in the manner shown in the block diagrams. As will be appreciated by those skilled in the art, these devices, target devices, equipment, and systems can be connected, arranged, or configured in any manner. Words such as "include," "comprise," "have," and the like are open-ended words, meaning "including but not limited to," and can be used interchangeably therewith. The words "or" and "and" used herein refer to the words "and / or" and can be used interchangeably therewith, unless the context clearly indicates otherwise. The word "such as" used herein refers to the phrase "such as but not limited to," and can be used interchangeably therewith.

[0065] It should also be noted that in the target devices, apparatuses, and methods of the present application, each component or each step can be decomposed and / or recombined, and such decomposition and / or recombination should be regarded as equivalent solutions of the present application.

[0066] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other aspects without departing from the scope of the present application. Therefore, the present application is not intended to be limited to the aspects shown herein, but rather to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0067] The above description has been provided for the purpose of illustration and description. Furthermore, this description is not intended to limit the embodiments of the present application to the forms disclosed herein. Although a number of example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, alterations, additions, and sub-combinations thereof.

Claims

1. An anti-interference method applied to low-frequency communication, characterized in that: The method comprises: Obtaining a received signal, performing time domain windowing processing, and then performing a fast Fourier transform to convert the received signal from the time domain to the frequency domain to obtain an initial frequency domain signal; Matching the filter amplitude response as a standard template with the power spectrum estimation of the initial frequency domain signal, and determining that interference exists at the frequency point when the power spectrum of the filtered signal exceeds a preset threshold of the matching template, thereby obtaining an interference detection result; According to the interference detection result, a deep peak clipping mechanism is used to generate a suppression coefficient, and according to the suppression coefficient, a notch process is performed on the initial frequency domain signal to accurately suppress the detected interference frequency point and obtain a target frequency domain signal; The target frequency domain signal is subjected to inverse fast Fourier transform and time domain reconstruction to obtain a reconstructed target signal, thereby achieving frequency domain narrowband interference suppression.

2. The anti-interference method for low-frequency communication according to claim 1, characterized in that: The method of acquiring a received signal, performing time domain windowing processing, and then performing a fast Fourier transform to convert the received signal from the time domain to the frequency domain to obtain an initial frequency domain signal includes: After digital processing of the received signal, a sampling point sequence is obtained; Adopting a window function to intercept the sampling point sequence, and adopting an overlapping windowing technique to make adjacent intercepted segments in the sampling point sequence partially overlap in the time domain, thereby obtaining a windowed sequence segment; Performing a fast Fourier transform on the windowed sequence segment to convert the signal from the time domain to the frequency domain to obtain a frequency domain signal.

3. The anti-interference method for low-frequency communication according to claim 1, characterized in that: The filter amplitude response is used as a standard template to match the power spectrum estimation of the initial frequency domain signal. When the power spectrum of the filtered signal exceeds a preset threshold of the matching template, the frequency point is determined to have interference, and an interference detection result is obtained, including: According to recent j The power spectrum estimate of the initial frequency domain signal of the segment sequence is calculated in dB form Specifically expressed as: in, Ri ( k ) is the The frequency domain signal of the segment windowed received signal after short-time Fourier transform; The amplitude response of the matched filter is used as a standard template and the matched template is obtained after moving; Perform interference detection based on the standard template and the matching template to obtain an interference detection result; The interference detection is specifically as follows: like P ( k )> M ( k )+ T , then determine the frequency k Interference exists, mark D ( k )=1, otherwise D ( k )=0; in, To interfere with the detection results, M ( k ) is the matching template, T Preset threshold for matching templates.

4. The anti-interference method for low-frequency communication according to claim 3, characterized in that: The deep peak clipping mechanism is used to generate the suppression coefficient, specifically: ； when When , it means that no interference is detected at this frequency point, and the suppression curve Indicates no suppression; when interference is detected hour, Indicates the difference between the power spectrum estimation value and the matching template exceeding the suppression threshold T.

5. The anti-interference method for low-frequency communication according to claim 4, characterized in that: After the deep peak clipping mechanism is used to generate the suppression coefficient, it also includes: The value of the suppression coefficient is dynamically adjusted according to the interference intensity to achieve differentiated suppression of interference of different intensities.

6. The anti-interference method for low-frequency communication according to claim 2, characterized in that: The method of performing an inverse fast Fourier transform on the target frequency domain signal and performing time domain reconstruction to obtain a reconstructed target signal and achieve frequency domain narrowband interference suppression includes: Performing an inverse fast Fourier transform on the target frequency domain signal to restore the frequency domain signal to a time domain signal to obtain a target time domain signal; An overlap-add operation is performed on the target time domain signal according to the overlap windowing technology, and the signal is reconstructed using the window function to smooth the signal boundary, thereby obtaining a reconstructed target signal and realizing frequency domain narrowband interference suppression.

7. The anti-interference method for low-frequency communication according to claim 2, characterized in that: In the time domain windowing process, a tower-based window function is used to perform 1 / 4 overlapping windowing process.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the anti-interference method applied to low-frequency communication according to any one of claims 1 to 7 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the anti-interference method applied to low-frequency communication according to any one of claims 1 to 7 is implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the anti-interference method applied to low-frequency communication according to any one of claims 1 to 7 is implemented.

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