A radar signal processing method, apparatus, device, medium and product
By using an adaptive bandwidth filter to process radar signals, the problem of low radar signal quality was solved, enabling the generation and processing of high-quality signals and reducing resource requirements.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SOUTHWEST CHINA RES INST OF ELECTRONICS EQUIP
- Filing Date
- 2026-04-01
- Publication Date
- 2026-06-12
AI Technical Summary
In existing technologies, analog-to-digital converters and digital-to-analog converters reduce the quality of radar signal samples when increasing the sampling rate, and traditional filters cannot be adaptively adjusted, resulting in poor quality of the acquired radar signals.
By acquiring the core feature parameters of the sample digital signal, an adaptive bandwidth target filter is generated to filter and modulate the radar signal, generating a target analog signal using programmable digital filtering technology.
It improves the processing quality of radar signals, reduces processing resource requirements, increases the instantaneous dynamic range and main-to-noise ratio of signals, and improves the performance indicators of subsequent data processing.
Smart Images
Figure CN122194062A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of signal processing technology, and more specifically, to a radar signal processing method, apparatus, device, medium, and product. Background Technology
[0002] The collected radar signals are subject to interference from the transmission environment during transmission, and are mixed with invalid clutter signals. Therefore, it is necessary to preprocess the collected radar signals to obtain high-quality radar signals as sample data for subsequent processing.
[0003] Radar signal processing typically involves a series of steps, including analog-to-digital converters (ADCs) and digital-to-analog converters (DACs). However, increasing the sampling rate of both ADCs and DACs increases instantaneous bandwidth but reduces the number of quantization bits. This can lead to severe intermodulation and cross-modulation interference, further degrading the quality of the acquired radar signal samples. Summary of the Invention
[0004] The present invention aims to provide a radar signal processing method, apparatus, equipment, medium, and product to solve the problem of low quality of acquired radar signal samples.
[0005] In a first aspect, the present invention provides a radar signal processing method, comprising: Acquire sample digital signals; sample digital signals are used to indicate radar signals after analog-to-digital conversion; Based on the sample digital signal, the target signal parameters are determined; whereby the target signal parameters are used to indicate the core feature parameters of the sample digital signal. A target filter is generated based on the target signal parameters; wherein the target filter adapts to the bandwidth of the sample digital signal. The sample digital signal is filtered and modulated by a target filter to generate a corresponding target analog signal; the target analog signal is used to indicate the processed radar signal.
[0006] The technical solution provided in this application offers at least the following advantages: Based on the sample digital signal used to indicate the radar signal after analog-to-digital conversion, target signal parameters indicating the core characteristic parameters of the sample digital signal are determined. Based on the target signal parameters, a target filter adapted to the bandwidth of the sample digital signal is generated. The sample digital signal is then filtered and modulated using the target filter to generate the corresponding target analog signal. Thus, this application processes the radar signal using a target filter capable of adapting to the bandwidth of the sample digital signal, enabling the target filter to match the radar signal bandwidth in real time and filter the acquired radar signal, thereby improving the quality of the processed radar signal.
[0007] One possible implementation involves acquiring a sample digital signal, including: Acquire the raw radar signal as an analog intermediate frequency signal; The original radar signal is converted into the corresponding sample digital signal by an analog-to-digital converter with a preset sampling rate.
[0008] One possible implementation involves determining target signal parameters based on sample digital signals, including: The sample digital signal is divided into multiple parallel narrowband sub-channels; Multiple parallel narrowband sub-channels are detected to extract target signal parameters.
[0009] One possible implementation is that the target signal parameters include at least one of the frequency, bandwidth, pulse width, and amplitude of the sample digital signal.
[0010] One possible implementation involves generating a target filter based on target signal parameters, including: An initial filter is established based on a preset square root raised cosine function; The initial filter is iteratively optimized based on the constraints determined by the preset window function. The optimized filter is used as the target filter.
[0011] One possible implementation involves filtering and modulating the sample digital signal using a target filter to generate a corresponding target analog signal, including: The sample digital signal is filtered and extracted by the first filter bank in the target filter to obtain the effective signal sample; the effective signal sample is used to indicate the filtering out of signals with clutter and intermodulation interference, and the first filter bank is used for real-time filtering and extraction of the effective signal. The effective signal samples are subjected to fine processing and precise modulation to obtain the processed narrowband signal; The processed signal is interpolated by the second filter bank in the target filter to reconstruct the processed narrowband signal into the target wideband signal; wherein, the second filter bank is used to reconstruct the narrowband signal; The target broadband signal is converted into the corresponding target analog signal using a preset digital-to-analog converter.
[0012] Secondly, this application provides a radar signal processing apparatus, including: The acquisition module is used to acquire sample digital signals; the sample digital signals are used to indicate the converted radar signals. The processing module is used to determine the target signal parameters based on the sample digital signal; wherein, the target signal parameters are used to indicate the core feature parameters of the sample digital signal; The processing module is also used to generate a target filter based on the target signal parameters; wherein the target filter adapts to the bandwidth of the sample digital signal; The processing module is also used to filter and modulate the sample digital signal through the target filter to generate the corresponding target analog signal; wherein the target analog signal is used to indicate the processed radar signal.
[0013] Thirdly, this application provides an electronic device comprising: a processor and a memory; the memory storing processor-executable instructions; when the processor is configured to execute the instructions, causing the electronic device to implement the method of the first aspect described above.
[0014] Fourthly, this application provides a computer-readable storage medium comprising: computer software instructions; which, when executed in an electronic device, cause the electronic device to implement the method described in the first aspect.
[0015] Fifthly, this application provides a computer program product comprising a computer program that, when run on an electronic device, causes the electronic device to perform the method described in the first aspect.
[0016] The beneficial effects of the second to fifth aspects mentioned above are described in the corresponding description of the first aspect and will not be repeated here. Attached Figure Description
[0017] Figure 1 This is a schematic flowchart illustrating a radar signal processing method provided in an embodiment of this application. Figure 2 This is a schematic diagram illustrating an implementation process provided in an embodiment of this application; Figure 3 A modulation signal spectrum without digital filtering is provided in an embodiment of this application; Figure 4A modulated signal spectrum with digital filtering is provided as an embodiment of this application; Figure 5 This is a schematic diagram of the composition of a radar signal processing device provided in an embodiment of this application; Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation
[0018] In this article, the term "and / or" is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone.
[0019] Furthermore, the terms "comprising" and "having," and any variations thereof, used in the description of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the steps or units listed, but may optionally include other steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus.
[0020] It should be noted that in the embodiments of this application, the words "exemplary" or "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design scheme described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design schemes. Specifically, the use of the words "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.
[0021] In the description of this application, unless otherwise stated, "a plurality of" means two or more.
[0022] As radar targets continue to evolve, instantaneous bandwidth is becoming increasingly wider. Currently, the mainstream 1GHz instantaneous bandwidth analog-to-digital converters (ADCs) and digital-to-analog converters (DACs) cannot meet the needs of the latest application scenarios. It is necessary to provide 4GHz or even greater instantaneous bandwidth. According to the Nyquist sampling theorem, a sampling rate of 8GHz or higher is required. In engineering applications, 10GHz sampling rate ADCs and DACs are usually selected to achieve this.
[0023] Although ADC and DAC improve the sampling rate, the effective number of bits is reduced, and the intermodulation and cross-modulation within the radar signal are severe. At this time, the quality of the signal sample acquired by ADC is greatly reduced. When intercepting and acquiring the target radar signal, the quality of the target radar signal sample is reduced, and the functional performance indicators are reduced.
[0024] Therefore, when using high-speed ADCs and DACs with a sampling rate of 10GHz and 6 effective bits, the instantaneous bandwidth can reach 4GHz, resulting in poor quality of the acquired radar signal samples, a significant reduction in instantaneous dynamic range and main noise ratio of the processed signal, and a sharp increase in processing resources. Its single-tone dynamic range is only 20dBc, and the main noise ratio is only about 15dBc~20dBc, which seriously affects the performance indicators of subsequent data processing.
[0025] Furthermore, regarding radar signal processing solutions, when filtering radar signals within the sampling bandwidth of the ADC and DAC, the filters are set to a fixed frequency range and cannot be adaptively adjusted. Wide-range coverage of the signal can only be achieved through fixed wide-frequency filtering. When performing wide-range filtering on signals with small instantaneous bandwidth, clutter in a certain frequency range cannot be eliminated, resulting in poor quality of the acquired radar signals.
[0026] To address the aforementioned technical problems, this application provides a radar signal processing method, apparatus, device, medium, and product. Based on a sample digital signal used to indicate the radar signal after analog-to-digital conversion, target signal parameters indicating the core characteristic parameters of the sample digital signal are determined. Based on the target signal parameters, a target filter adapted to the bandwidth of the sample digital signal is generated. The sample digital signal is then filtered and modulated using the target filter to generate a corresponding target analog signal. Thus, this application processes radar signals using a target filter capable of adapting to the bandwidth of the sample digital signal, enabling the target filter to match the radar signal bandwidth in real time and filter the acquired radar signal, thereby improving the quality of the processed radar signal.
[0027] Furthermore, traditional methods for radar signal processing often employ physical filtering, relying on the frequency response characteristics of microwave components to achieve filtering within a fixed frequency range. In contrast, this application uses programmable digital filtering, which incurs no additional hardware costs and greatly saves on costs and resources.
[0028] Traditional radar signal processing methods require real-time processing of broadband acquired signal samples, necessitating processing resources that must match the ADC bandwidth, thus consuming significant processing resources. In practical applications, radar signals typically have a narrow instantaneous bandwidth (e.g., frequency-agile radar has a wide frequency range but a narrow instantaneous bandwidth). This application addresses this by using real-time filtering and extraction, where the processing bandwidth only needs to match the instantaneous bandwidth of the signal, greatly reducing processing resources. Furthermore, adjusting broadband signal processing to narrowband fine-tuning significantly improves processing accuracy.
[0029] The radar signal processing method provided in this application will now be described in detail with reference to the accompanying drawings.
[0030] Figure 1 This is a flowchart illustrating a radar signal processing method provided in an embodiment of this application. Figure 2 This is a schematic diagram illustrating an implementation process provided in an embodiment of this application. (In conjunction with...) Figure 1 and Figure 2 As shown, a radar signal processing method provided in the application embodiment will be described: S101. Acquire sample digital signals.
[0031] In one possible implementation, the original radar signal is acquired as an analog intermediate frequency signal (0.5GHz~4.5GHz), and the broadband original radar signal is converted into a corresponding sample digital signal by an analog-to-digital converter with a preset sampling rate such as 10GHz.
[0032] Among them, the sample digital signal is used to indicate the radar signal after analog-to-digital conversion.
[0033] S102. Determine the target signal parameters based on the sample digital signal.
[0034] In one possible implementation, the sample digital signal is divided into multiple parallel narrowband sub-channels, and the multiple parallel narrowband sub-channels are detected to extract target signal parameters.
[0035] The target signal parameters are used to indicate the core characteristic parameters of the sample digital signal. The target signal parameters include at least one of the following: frequency, bandwidth, pulse width, and amplitude of the sample digital signal.
[0036] For example, the acquired sample digital signal is channelized to obtain important parameter information such as frequency, bandwidth, pulse width and amplitude of the sample digital signal.
[0037] S103. Generate the target filter based on the target signal parameters.
[0038] In one possible implementation, an initial filter is established based on a preset square root raised cosine function.
[0039] Furthermore, based on the preset window function, the constraints are determined, the initial filter is iteratively optimized, and the optimized filter is used as the target filter.
[0040] Specifically, for the preset square root raised cosine function, it is expressed as follows:
[0041] in, For the preset window function, Let rcosine be the initial filter, and rcosine be the square root raised cosine function. For the number of channels, This represents the total number of taps in the filter. For frequency.
[0042] Specifically, the iterative optimization of the initial filter is performed through the following calculation process:
[0043] in, For the initial filter, The total response after cascading the transmit and receive filters. These are the tap coefficients of the bandpass filter. This is the tap index of the filter. This represents the frequency response of the corresponding tap of the filter. This represents the total response of the bandpass filter.
[0044] The target filter includes a first filter bank and a second filter bank. The first filter bank is used for real-time filtering and extraction of effective signals, while the second filter bank is used to reconstruct narrowband signals.
[0045] For example, such as Figure 2 As shown, DDC represents the M-channel channelized decimation filter bank, and DUC represents the M-channel channelized interpolation filter bank. To save processing resources, two identical channelized receiving filter banks, namely the first filter bank and the signal reconstruction filter bank, namely the second filter bank, were used in the engineering implementation to solve the signal spectrum bulging problem and to design a phase difference between the two banks.
[0046] Furthermore, the polyphase filters of the first filter bank satisfy the following relationship:
[0047] in, Here is the polyphase filter relation expression for the first filter bank. For channel indexing, It can be any natural number.
[0048] Furthermore, the second filter, the polyphase filter, satisfies the following relationship:
[0049] in, This is the polyphase filter relational expression for the second filter bank.
[0050] S104. The sample digital signal is filtered and modulated by the target filter to generate the corresponding target analog signal.
[0051] In one possible implementation, the sample digital signal is filtered and extracted by the first filter bank in the target filter to obtain a valid signal sample; the valid signal sample is used to indicate the filtering out of signals with clutter and intermodulation interference, and the first filter bank is used for real-time filtering and extraction of valid signals.
[0052] The effective signal samples are subjected to fine processing and precise modulation to obtain the processed narrowband signal.
[0053] The processed signal is interpolated by the second filter bank in the target filter to reconstruct the processed narrowband signal into the target wideband signal; the second filter bank is used to reconstruct the narrowband signal.
[0054] The target broadband signal is converted into the corresponding target analog signal using a preset digital-to-analog converter.
[0055] For example, the acquired sample signals are filtered and extracted in real time to extract valid signal samples and remove noise and interference. The valid signal samples undergo complex and precise processing and modulation. The modulated signal samples are then interpolated and filtered before being output to a high-speed DAC to be converted into analog waveforms, thereby improving the system's functional performance.
[0056] Figure 3 This application provides a spectrum diagram of a modulated signal without digital filtering, as shown in the embodiments of this application. Figure 4 This is a spectrum diagram of a modulated signal with digital filtering provided in an embodiment of this application.
[0057] In this embodiment, based on a high-speed ADC and DAC with a 10GHz sampling rate and 6 effective bits, the optimal processing bandwidth and decimation factor of the current radar signal are calculated in real time through real-time detection and acquisition, and a matching target filter is generated to digitally filter and decimate the current target signal. Figure 3 and Figure 4 As shown, out-of-band clutter signals are effectively filtered out, greatly improving the quality of the main signal sample and obtaining accurate parameters of the current target signal. Then, complex fine processing and sample modulation are performed, and finally, interpolation filtering is used to obtain high-quality processed samples through a high-speed DAC. This effectively solves a series of problems such as poor sample quality of 10GHz sampling rate ADC and DAC signals, high processing resource consumption, low instantaneous dynamic range, and serious intermodulation, effectively improving the system's functional performance indicators.
[0058] In summary, by using sample digital signals to indicate the radar signal after analog-to-digital conversion, target signal parameters indicating the core characteristic parameters of the sample digital signals are determined. Based on the target signal parameters, a target filter adapted to the bandwidth of the sample digital signals is generated. The sample digital signals are then filtered and modulated using the target filter to generate the corresponding target analog signal. Thus, this application can process radar signals using a target filter that adapts to the bandwidth of the sample digital signals, enabling the target filter to match the radar signal bandwidth in real time and thereby improving the quality of the processed radar signal.
[0059] In some embodiments, this application also provides a radar signal processing apparatus. The radar signal processing apparatus may include one or more functional modules for implementing a radar signal processing method according to the above method embodiments.
[0060] For example, Figure 5 This is a schematic diagram illustrating the composition of a radar signal processing device provided in an embodiment of this application. Figure 5 As shown, the radar signal processing device includes an acquisition module 201 and a processing module 202.
[0061] The acquisition module 201 is used to acquire sample digital signals; the sample digital signals are used to indicate radar signals after analog-to-digital conversion.
[0062] The processing module 202 is used to determine the target signal parameters based on the sample digital signal; wherein the target signal parameters are used to indicate the core feature parameters of the sample digital signal.
[0063] The processing module 202 is also used to generate a target filter based on the target signal parameters; wherein the target filter is adapted to the bandwidth of the sample digital signal.
[0064] The processing module 202 is further configured to filter and modulate the sample digital signal using a target filter to generate a corresponding target analog signal; wherein the target analog signal is used to indicate the processed radar signal.
[0065] In some embodiments, the acquisition module 201 is specifically used to acquire the original radar signal as an analog intermediate frequency signal; The original radar signal is converted into the corresponding sample digital signal by an analog-to-digital converter with a preset sampling rate.
[0066] In some embodiments, the processing module 202 is specifically used to divide the sample digital signal into multiple parallel narrowband sub-channels; Multiple parallel narrowband sub-channels are detected to extract target signal parameters.
[0067] In some embodiments, the processing module 202 is specifically used to establish an initial filter based on a preset square root raised cosine function; The initial filter is iteratively optimized based on the constraints determined by the preset window function. The optimized filter is used as the target filter.
[0068] In some embodiments, the processing module 202 is specifically used to filter and extract the sample digital signal through the first filter bank in the target filter to obtain a valid signal sample; the valid signal sample is used to indicate the filtering out of signals with clutter and intermodulation interference, and the first filter bank is used to filter and extract the valid signal in real time. The effective signal samples are subjected to fine processing and precise modulation to obtain the processed narrowband signal; The processed signal is interpolated by the second filter bank in the target filter to reconstruct the processed narrowband signal into the target wideband signal; wherein, the second filter bank is used to reconstruct the narrowband signal; The target broadband signal is converted into the corresponding target analog signal using a preset digital-to-analog converter.
[0069] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device includes: a processor 302, a communication interface 303, and a bus 304. Optionally, the electronic device may also include a memory 301.
[0070] Processor 302 may implement or execute various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 302 may be a central processing unit, a general-purpose processor, a digital signal processor, an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It may implement or execute various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 302 may also be a combination of functions implementing computing capabilities, such as a combination including CPU0 and CPU1, a DSP, and a microprocessor.
[0071] The communication interface 303 includes a receiving unit and a transmitting unit, and is used to connect with other devices via a communication network. This communication network can be Ethernet, a wireless access network, a wireless local area network (WLAN), etc.
[0072] The memory 301 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, or electrically erasable programmable read-only memory (EEPROM), disk storage medium or other magnetic storage device, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but is not limited thereto.
[0073] In one possible implementation, the memory 301 can exist independently of the processor 302. The memory 301 can be connected to the processor 302 via a bus 304 and is used to store instructions or program code. When the processor 302 calls the instructions or program code stored in 301, it can implement the radar signal processing method provided in this embodiment of the invention.
[0074] In another possible implementation, the memory 301 can also be integrated with the processor 302.
[0075] Bus 304 can be an extended industry standard architecture (EISA) bus, etc. Bus 304 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 6 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.
[0076] Through the above description of the implementation methods, those skilled in the art can clearly understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the service calling device can be divided into different functional modules to complete all or part of the functions described above.
[0077] This application also provides a computer-readable storage medium. All or part of the processes in the above method embodiments can be executed by computer instructions instructing related hardware. The program can be stored in the aforementioned computer-readable storage medium, and when executed, it can include the processes of the above method embodiments. The computer-readable storage medium can be any of the foregoing embodiments or memory. The aforementioned computer-readable storage medium can also be an external storage device of the aforementioned service invocation device, such as a plug-in hard drive, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the aforementioned service invocation device. Further, the aforementioned computer-readable storage medium can include both internal storage units of the aforementioned service invocation device and external storage devices. The aforementioned computer-readable storage medium is used to store the aforementioned computer program and other programs and data required by the aforementioned service invocation device. The aforementioned computer-readable storage medium can also be used to temporarily store data that has been output or will be output.
[0078] This application also provides a computer program product, which includes a computer program that, when run on a computer, causes the computer to execute the radar signal processing method provided in the above embodiments.
[0079] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.
Claims
1. A radar signal processing method, characterized in that, The method includes: Acquire sample digital signals; the sample digital signals are used to indicate radar signals after analog-to-digital conversion; Based on the sample digital signal, target signal parameters are determined; wherein, the target signal parameters are used to indicate the core feature parameters of the sample digital signal; A target filter is generated based on the target signal parameters; wherein the target filter is adapted to the bandwidth of the sample digital signal; The sample digital signal is filtered and modulated by the target filter to generate a corresponding target analog signal; wherein the target analog signal is used to indicate the processed radar signal.
2. The radar signal processing method according to claim 1, characterized in that, The acquisition of the sample digital signal includes: Acquire the raw radar signal as an analog intermediate frequency signal; The original radar signal is converted into the corresponding sample digital signal by an analog-to-digital converter with a preset sampling rate.
3. The radar signal processing method according to claim 1, characterized in that, The determination of target signal parameters based on the sample digital signal includes: The sample digital signal is divided into multiple parallel narrowband sub-channels; The multiple parallel narrowband sub-channels are detected to extract the target signal parameters.
4. The radar signal processing method according to claim 3, characterized in that, The target signal parameters include at least one of the frequency, bandwidth, pulse width, and amplitude of the sample digital signal.
5. The radar signal processing method according to claim 1, characterized in that, The step of generating a target filter based on the target signal parameters includes: An initial filter is established based on a preset square root raised cosine function; The initial filter is iteratively optimized based on the constraints determined by the preset window function. The optimized filter is used as the target filter.
6. The radar signal processing method according to claim 5, characterized in that, The step of filtering and modulating the sample digital signal using the target filter to generate the corresponding target analog signal includes: The sample digital signal is filtered and extracted by the first filter group in the target filter to obtain effective signal samples; the effective signal samples are used to indicate the filtering out of signals with clutter and intermodulation interference, and the first filter group is used for real-time filtering and extraction of effective signals. The effective signal samples are subjected to fine processing and precise modulation processing to obtain the processed narrowband signal; The processed signal is interpolated by the second filter group in the target filter to reconstruct the processed narrowband signal into a target wideband signal; wherein, the second filter group is used to reconstruct the narrowband signal; The target broadband signal is converted into the corresponding target analog signal using a preset digital-to-analog converter.
7. A radar signal processing device, characterized in that, include: An acquisition module is used to acquire sample digital signals; the sample digital signals are used to indicate converted radar signals. The processing module is used to determine target signal parameters based on the sample digital signal; wherein the target signal parameters are used to indicate the core feature parameters of the sample digital signal; The processing module is further configured to generate a target filter based on the target signal parameters; wherein the target filter is adapted to the bandwidth of the sample digital signal; The processing module is further configured to filter and modulate the sample digital signal using the target filter to generate a corresponding target analog signal; wherein the target analog signal is used to indicate the processed radar signal.
8. An electronic device, characterized in that, It includes a processor and a memory, the processor being coupled to the memory; the memory is used to store computer instructions, which are loaded and executed by the processor to enable the computer device to perform the method as described in any one of claims 1 to 6.
9. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes computer-executable instructions that, when executed on a computer, cause the computer to perform the method according to any one of claims 1 to 6.
10. A computer program product, characterized in that, The computer program product includes a computer program that, when run on an electronic device, causes the electronic device to perform the method as described in any one of claims 1 to 6.