Dynamic multi-frequency hierarchical signal generation method, device, equipment and storage medium

Abstract

The present invention relates to the field of signal processing technology, and provides a dynamic multi-frequency graded signal generation method, device, equipment and storage medium. The dynamic multi-frequency graded signal generation method includes: decomposing an input multi-channel signal into a multi-level signal sequence with multiple frequency bands and amplitudes based on a frequency domain decomposition and a dynamic perception quantization algorithm; processing the multi-level signal sequence according to a signal delay and a dynamic simulation accuracy rule, and adjusting the delay of each frequency band signal in the multi-level signal sequence; performing Doppler frequency simulation processing on the signal after the delay is adjusted, and combining it into a dynamic multi-frequency graded signal. Through processing based on frequency domain decomposition and a dynamic perception quantization algorithm, a multi-level signal sequence is flexibly generated, and the signal is accurately adjusted according to the signal delay and the dynamic simulation accuracy rule, thereby effectively improving the accuracy and flexibility of signal generation, and being able to meet the needs of complex application scenarios.

Description

Technical Field

[0001] The present invention relates to the field of signal processing technology, and in particular to a method, device, equipment and storage medium for generating a dynamic multi-frequency hierarchical signal. Background Art

[0002] With the rapid development of communication technology and signal processing technology, the application scenarios of signals are becoming more and more complex. However, traditional signal generation methods often adopt signal generation modes with fixed frequency bands or fixed amplitude levels. Although this method can meet basic requirements in some simple application scenarios, it often cannot provide sufficient flexibility and accuracy in modern complex communications, radars and multi-band signal processing systems. Especially in applications that need to cope with dynamic environments, delay changes and frequency conversion, the frequency characteristics, delay characteristics and dynamic amplitude characteristics of the signal have an important impact on signal quality and transmission efficiency. In order to better adapt to the needs of multi-band signal transmission and processing in complex environments, accurately and flexibly generating signals that meet different frequency ranges and dynamic amplitude requirements has become a technical problem that needs to be solved. Summary of the invention

[0003] The embodiments of the present application provide a method, apparatus, device and storage medium for generating a dynamic multi-frequency graded signal. By processing based on frequency domain decomposition and dynamic perception quantization algorithm, a multi-level signal sequence is flexibly generated, and the signal is accurately adjusted according to signal delay and dynamic simulation accuracy rules, thereby effectively improving the accuracy and flexibility of signal generation and being able to meet the needs of complex application scenarios.

[0004] In a first aspect, an embodiment of the present application provides a method for generating a dynamic multi-frequency hierarchical signal, comprising:

[0005] Decompose the input multi-channel signal into multiple multi-level signal sequences with different frequency bands and amplitudes based on frequency domain decomposition and dynamic perception quantization algorithm;

[0006] Processing the multi-level signal sequence according to the signal delay and dynamic simulation accuracy rules, and adjusting the delay of each frequency band signal in the multi-level signal sequence;

[0007] The signal after time delay adjustment is subjected to Doppler frequency simulation processing and combined into a dynamic multi-frequency graded signal.

[0008] In a second aspect, an embodiment of the present application provides a dynamic multi-frequency hierarchical signal generating device, comprising:

[0009] A decomposition module is used to decompose the input multi-channel signal into multiple multi-level signal sequences with different frequency bands and amplitudes based on frequency domain decomposition and dynamic perception quantization algorithm;

[0010] An adjustment module, used to process the multi-level signal sequence according to the signal delay and dynamic simulation accuracy rules, and adjust the delay of each frequency band signal in the multi-level signal sequence;

[0011] The combination module is used to perform Doppler frequency simulation processing on the signal after the time delay is adjusted, and combine it into a dynamic multi-frequency hierarchical signal.

[0012] In a third aspect, an embodiment of the present application provides an electronic device, including:

[0013] Memory and processing modules;

[0014] The memory is used to store computer programs;

[0015] The processing module is used to execute the computer program and implement the steps of the dynamic multi-frequency hierarchical signal generation method of the first aspect when executing the computer program.

[0016] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program;

[0017] When the computer program is executed by one or more processing modules, the one or more processing modules execute the steps of the method for generating a dynamic multi-frequency hierarchical signal according to the first aspect.

[0018] The embodiments of the present application provide a method, device, equipment and storage medium for generating a dynamic multi-frequency graded signal, wherein the method for generating a dynamic multi-frequency graded signal includes: decomposing the input multi-channel signal into a multi-level signal sequence with multiple frequency bands and amplitudes based on frequency domain decomposition and dynamic perception quantization algorithm; processing the multi-level signal sequence according to signal delay and dynamic simulation accuracy rules, and adjusting the delay of each frequency band signal in the multi-level signal sequence; performing Doppler frequency simulation processing on the signal after the delay adjustment, and combining it into a dynamic multi-frequency graded signal. Through processing based on frequency domain decomposition and dynamic perception quantization algorithm, a multi-level signal sequence is flexibly generated, and the signal is accurately adjusted according to signal delay and dynamic simulation accuracy rules, thereby effectively improving the accuracy and flexibility of signal generation, and being able to meet the needs of complex application scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying any creative work.

[0020] Figure 1 A schematic diagram of a flow chart of a method for generating a dynamic multi-frequency hierarchical signal provided in an embodiment of the present application;

[0021] Figure 2 Provided in the embodiments of this application Figure 1 Schematic diagram of the specific implementation process of S101;

[0022] Figure 3 A schematic diagram of the structure of a dynamic multi-frequency hierarchical signal generating device provided in an embodiment of the present application;

[0023] Figure 4 A schematic block diagram of a dynamic multi-frequency hierarchical signal generating device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0026] It should also be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0027] It should be further understood that the term “and / or” used in the specification and appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0028] The technical solution provided by this application will be described in detail below with reference to the accompanying drawings.

[0029] See also Figure 1 , Figure 1 The flowchart of the method for generating a dynamic multi-frequency hierarchical signal provided in the embodiment of the present application is shown in FIG. The method for generating a dynamic multi-frequency hierarchical signal provided in the embodiment of the present application is implemented by a dynamic multi-frequency decomposition signal generating device. The embodiment of the present application does not impose any limitation on the dynamic multi-frequency hierarchical signal generating device. Specifically, Figure 1As shown, the method for generating a dynamic multi-frequency hierarchical signal includes steps S101 to S103. The details are as follows:

[0030] S101: Decomposing the input multi-channel signal into multiple multi-level signal sequences with different frequency bands and amplitudes based on frequency domain decomposition and dynamic perception quantization algorithm.

[0031] By processing the input multi-channel signal, the signal has different amplitudes in different frequency bands, which facilitates subsequent signal analysis and feature extraction.

[0032] For example, Figure 2 As shown, Figure 2 Provided in the embodiments of this application Figure 1 The specific implementation flow diagram of S101 is shown in FIG. Figure 2 It can be seen that the input multi-channel signal is decomposed into a multi-level signal sequence with different frequency bands and amplitudes based on frequency domain decomposition and dynamic perception quantization algorithm, including:

[0033] S1011: Decomposing the input multi-channel signal in the frequency domain to obtain signals of different frequency bands.

[0034] Specifically, the frequency domain analysis of multi-channel signals can be performed using Fourier transform, short-time Fourier transform or wavelet transform, so as to decompose the input multi-channel signals into signals of different frequency bands. Then, each frequency band signal obtained after decomposition can be processed and analyzed independently according to different applications. For example, in the biomedical field, for electromyographic signals or electrocardiographic signals collected by multiple sensors, low-frequency signals are usually used to describe chronic muscle activity or low-frequency oscillations, mid-frequency signals are related to rapid changes in muscle activity or other physiological signals, and high-frequency signals may be dynamically changing high-frequency noise, etc.

[0035] S1012: Determine quantization step sizes of signals in different frequency bands according to preset dynamic ranges of signals in different frequency bands.

[0036] Each frequency band has a specific dynamic range, which is the difference between the strongest and weakest values ​​in the signal. For example, a low-frequency signal may have less variation in amplitude, while a high-frequency signal may have a larger amplitude, so their quantization needs are different. Signals with a larger dynamic range tend to require deeper quantization to preserve their details, while signals with a smaller dynamic range can use shallower quantization.

[0037] Specifically, the dynamic range can be expressed as: Among them, A max is the maximum amplitude of the signal, A min It is the minimum amplitude of the signal, usually in decibels (dB). A large dynamic range means that the amplitude of the signal varies over a wide range, which will affect the quantization accuracy.

[0038] Quantization depth refers to the number of bits per sample point during the quantization process. Assuming that B bits are used to represent the quantization depth, the number of quantization levels is 2. B , that is, the quantization process divides the amplitude range of the signal into 2 B discrete levels, and the interval between each level is: Where Δ is the quantization step size, which indicates the gap between adjacent quantization levels. The larger the quantization depth B, the B The greater the number, the smaller the quantization step Δ is, the higher the resolution of the signal is, and the more accurately the amplitude of the signal can be represented.

[0039] S1013: quantizing the signals of different frequency bands according to the quantization step sizes of the signals of different frequency bands to obtain a multi-level signal sequence.

[0040] Quantization is the process of converting a signal into a digital format by mapping continuous signal values ​​to finite discrete values. The quantization step size determines the accuracy of the quantized signal (i.e., the resolution of each quantization unit).

[0041] After quantization, the signal is converted into multiple digital signal sequences with different precision (quantization depth). The signal in each frequency band will generate a quantized signal sequence, which can form a multi-level signal sequence. The signal sequences after quantization processing in different frequency bands can have different time resolution and frequency resolution, which is suitable for a variety of different analysis and processing scenarios.

[0042] For example, in electromyography (EMG) analysis, low-frequency signals are used to analyze low-intensity continuous muscle activity, while high-frequency signals are used to capture fast, short-term muscle activity. By quantizing these frequency band signals, a signal sequence that is more suitable for subsequent processing can be obtained, helping to improve the accuracy of signal analysis and feature extraction.

[0043] S102: Process the multi-level signal sequence according to the signal delay and dynamic simulation accuracy rule, and adjust the delay of each frequency band signal in the multi-level signal sequence.

[0044] Exemplarily, a multi-level signal sequence is processed according to signal delay and dynamic simulation accuracy rules, and the delay of each frequency band signal in the multi-level signal sequence is adjusted, including: performing delay simulation on the frequency domain signal of each frequency band in the multi-level signal sequence, and adjusting the corresponding delay of the signal after delay simulation according to the signal change rate and spectral characteristics.

[0045] Perform time delay simulation on the signal of each frequency band in the multi-level signal sequence, including:

[0046]

[0047] in, represents the signal obtained after delay simulation of the i-th frequency band signal, F -1 represents the inverse Fourier transform, represents the phase factor of the delay introduced in the frequency domain, Δt is the delay adjustment value for the i-th frequency band signal, and X i (f) represents the frequency domain signal of the i-th frequency band.

[0048] The delay adjustment value Δt for the i-th frequency band signal i It is expressed as:

[0049]

[0050] Among them, E i is the energy of the signal in the ith frequency band, f i is the center frequency of the ith frequency band signal, σ 2 i is the variance of the signal in the ith frequency band, MAX(E) is the maximum value of the signal energy, MAX(f) is the maximum value of the signal frequency, MAX(σ 2 ) is the maximum value of the signal variance, ω1, ω2, ω3 are the weight coefficients respectively.

[0051] S103: Perform Doppler frequency simulation processing on the signal after the delay is adjusted, and combine it into a dynamic multi-frequency hierarchical signal.

[0052] The signal after the time delay is adjusted is subjected to Doppler frequency simulation processing and combined into a dynamic multi-frequency graded signal, including: performing Doppler frequency offset simulation on the signal after the time delay is adjusted to obtain a frequency domain signal after Doppler frequency compensation, the frequency offset simulation is caused by the movement of the signal source or the receiver; performing Fourier transform on the frequency domain signal after Doppler frequency compensation and combining it into a dynamic multi-frequency graded signal.

[0053] The Doppler frequency offset simulation is performed on the signal after the time delay is adjusted, including: based on the Doppler frequency offset of each frequency band signal and the phase factor of the Doppler frequency offset, the Doppler frequency offset simulation is performed on the signal after the time delay is adjusted to obtain a frequency domain signal after Doppler frequency compensation.

[0054] By processing the multi-level signal sequence according to the signal delay and dynamic simulation accuracy rules, adjusting the delay, performing Doppler frequency compensation, and combining them into dynamic multi-frequency graded signals, this technical solution can significantly improve the accuracy, resolution and stability of signal analysis. For example, in the process of electromyographic signal analysis, it can effectively deal with frequency offset and delay problems caused by factors such as movement and equipment movement, thereby optimizing the signal's spectral characteristics, improving anti-interference capabilities, and improving adaptability and analysis accuracy in dynamic environments. This is of great significance for real-time monitoring of electromyographic signals, muscle status assessment, movement control, and diagnosis of neuromuscular diseases.

[0055] The dynamic multi-frequency graded signal generation method provided in the embodiment of the present application includes: decomposing the input multi-channel signal into a multi-level signal sequence of multiple frequency bands and amplitudes based on the frequency domain decomposition and dynamic perception quantization algorithm; processing the multi-level signal sequence according to the signal delay and dynamic simulation accuracy rules, adjusting the delay of each frequency band signal in the multi-level signal sequence; performing Doppler frequency simulation processing on the signal after the delay adjustment, and combining it into a dynamic multi-frequency graded signal. Through the processing based on the frequency domain decomposition and dynamic perception quantization algorithm, the multi-level signal sequence is flexibly generated, and the signal is accurately adjusted according to the signal delay and dynamic simulation accuracy rules, thereby effectively improving the accuracy and flexibility of signal generation, and being able to meet the needs of complex application scenarios.

[0056] See also Figure 3 As shown, Figure 3 The structure diagram of the dynamic multi-frequency hierarchical signal generating device provided in the embodiment of the present application is shown in FIG. Figure 3 It can be seen that the dynamic multi-frequency hierarchical signal generating device 30 provided in the embodiment of the present application includes:

[0057] Decomposition module 301, used for decomposing the input multi-channel signal into multiple multi-level signal sequences with different frequency bands and amplitudes based on frequency domain decomposition and dynamic perception quantization algorithm;

[0058] An adjustment module 302, used to process the multi-level signal sequence according to the signal delay and dynamic simulation accuracy rules, and adjust the delay of each frequency band signal in the multi-level signal sequence;

[0059] The combining module 303 is used to perform Doppler frequency simulation processing on the signal after the delay is adjusted, and combine it into a dynamic multi-frequency hierarchical signal.

[0060] In one embodiment, the decomposition module 301 includes:

[0061] A decomposition unit, used for decomposing the input multi-channel signal in the frequency domain to obtain signals of different frequency bands;

[0062] A determination unit, used to determine the quantization step size of the signals in different frequency bands according to the preset dynamic ranges of the signals in different frequency bands;

[0063] The obtaining unit is used to quantize the signals of different frequency bands according to the quantization step lengths of the signals of different frequency bands to obtain a multi-level signal sequence.

[0064] In one embodiment, the adjustment module 302 is specifically configured to:

[0065] The delay simulation is performed on the frequency domain signal of each frequency band in the multi-level signal sequence, and the corresponding delay of the signal after the delay simulation is adjusted according to the change rate and spectrum characteristics of the signal.

[0066] In one embodiment, performing delay simulation on a signal of each frequency band in a multi-level signal sequence includes:

[0067]

[0068] in, represents the signal obtained after delay simulation of the i-th frequency band signal, F -1 represents the inverse Fourier transform, represents the phase factor of the delay introduced in the frequency domain, Δt is the delay adjustment value for the i-th frequency band signal, and X i (f) represents the frequency domain signal of the i-th frequency band.

[0069] In one embodiment, the delay adjustment value Δt for the i-th frequency band signal is i It is expressed as:

[0070]

[0071] Among them, E i is the energy of the signal in the ith frequency band, f i is the center frequency of the ith frequency band signal, σ 2 i is the variance of the signal in the ith frequency band, MAX(E) is the maximum value of the signal energy, MAX(f) is the maximum value of the signal frequency, MAX(σ 2 ) is the maximum value of the signal variance, ω1, ω2, ω3 are the weight coefficients respectively.

[0072] In one embodiment, the combination module 303 includes:

[0073] A simulation unit is used to simulate the Doppler frequency offset of the signal after the delay is adjusted to obtain a frequency domain signal after the Doppler frequency compensation, wherein the frequency offset simulation is caused by the movement of the signal source or the receiver;

[0074] The combining unit is used to combine the frequency domain signal after Doppler frequency compensation into a dynamic multi-frequency graded signal after Fourier transformation.

[0075] In one embodiment, the simulation unit is specifically used for:

[0076] Based on the Doppler frequency offset of the signal in each frequency band and the phase factor of the Doppler frequency offset, the Doppler shift simulation is performed on the signal after the delay is adjusted to obtain the frequency domain signal after Doppler frequency compensation.

[0077] It should be noted that the specific implementation process of the above modules or units can refer to the specific implementation process of each step in the previous method embodiment, which will not be repeated here.

[0078] See also Figure 4 As shown, Figure 4 A schematic block diagram of a dynamic multi-frequency hierarchical signal generating device provided in an embodiment of the present application.

[0079] Exemplarily, the dynamic multi-frequency grading signal generating device 400 includes a processing module 401 and a memory 402 .

[0080] Exemplarily, the processing module 401 and the memory 402 are connected via a bus 403 , and the bus 403 is, for example, an I2C (Inter-integrated Circuit) bus.

[0081] Specifically, the processing module 401 may be a micro-controller unit (MCU), a central processing unit (CPU) or a digital signal processing module (DSP).

[0082] Specifically, the memory 402 may be a Flash chip, a read-only memory (ROM) disk, an optical disk, a USB flash drive, or a mobile hard disk.

[0083] The processing module 401 is used to run the computer program stored in the memory 402 and implement the steps of the above-mentioned dynamic multi-frequency hierarchical signal generation method when executing the computer program.

[0084] Exemplarily, the processing module 401 is used to run the computer program stored in the memory 402, and implement the following steps when executing the computer program:

[0085] Decompose the input multi-channel signal into multiple multi-level signal sequences with different frequency bands and amplitudes based on frequency domain decomposition and dynamic perception quantization algorithm;

[0086] Processing the multi-level signal sequence according to the signal delay and dynamic simulation accuracy rules, and adjusting the delay of each frequency band signal in the multi-level signal sequence;

[0087] The signal after time delay adjustment is subjected to Doppler frequency simulation processing and combined into a dynamic multi-frequency graded signal.

[0088] In one embodiment, the input multi-channel signal is decomposed into a plurality of multi-level signal sequences with different frequency bands and amplitudes through a frequency domain decomposition and dynamic perception quantization algorithm, including:

[0089] Decompose the input multi-channel signal in the frequency domain to obtain signals in different frequency bands;

[0090] Determine the quantization step size of the signals in different frequency bands according to the preset dynamic range of the signals in different frequency bands;

[0091] According to the quantization step lengths of signals in different frequency bands, signals in different frequency bands are quantized to obtain multi-level signal sequences.

[0092] In one embodiment, the multi-level signal sequence is processed according to the signal delay and dynamic simulation accuracy rule to adjust the delay of each frequency band signal in the multi-level signal sequence, including:

[0093] The delay simulation is performed on the frequency domain signal of each frequency band in the multi-level signal sequence, and the corresponding delay of the signal after the delay simulation is adjusted according to the change rate and spectrum characteristics of the signal.

[0094] In one embodiment, performing delay simulation on a signal of each frequency band in a multi-level signal sequence includes:

[0095]

[0096] in, represents the signal obtained after delay simulation of the i-th frequency band signal, F -1 represents the inverse Fourier transform, represents the phase factor of the delay introduced in the frequency domain, Δt is the delay adjustment value for the i-th frequency band signal, and X i (f) represents the frequency domain signal of the i-th frequency band.

[0097] In one embodiment, the delay adjustment value Δt for the i-th frequency band signal is i It is expressed as:

[0098]

[0099] Among them, E i is the energy of the signal in the ith frequency band, f i is the center frequency of the ith frequency band signal, σ 2 i is the variance of the signal in the ith frequency band, MAX(E) is the maximum value of the signal energy, MAX(f) is the maximum value of the signal frequency, MAX(σ 2 ) is the maximum value of the signal variance, ω1, ω2, ω3 are the weight coefficients respectively.

[0100] In one embodiment, the signal after the delay adjustment is subjected to Doppler frequency simulation processing and combined into a dynamic multi-frequency hierarchical signal, including:

[0101] Performing Doppler frequency offset simulation on the signal after adjusting the delay to obtain a frequency domain signal after Doppler frequency compensation, wherein the frequency offset simulation is caused by the movement of the signal source or the receiver;

[0102] The frequency domain signal after Doppler frequency compensation is Fourier transformed and combined into a dynamic multi-frequency hierarchical signal.

[0103] In one embodiment, performing Doppler frequency shift simulation on the signal after adjusting the delay includes:

[0104] Based on the Doppler frequency offset of the signal in each frequency band and the phase factor of the Doppler frequency offset, the Doppler shift simulation is performed on the signal after the delay is adjusted to obtain the frequency domain signal after Doppler frequency compensation.

[0105] The specific principles and implementation methods of the dynamic multi-frequency classification signal generation device provided in the embodiment of the present application are similar to those of the dynamic multi-frequency classification signal generation method in the aforementioned embodiment, and will not be repeated here.

[0106] The embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by the processing module, the processing module implements the following steps:

[0107] Decompose the input multi-channel signal into multiple multi-level signal sequences with different frequency bands and amplitudes based on frequency domain decomposition and dynamic perception quantization algorithm;

[0108] Processing the multi-level signal sequence according to the signal delay and dynamic simulation accuracy rules, and adjusting the delay of each frequency band signal in the multi-level signal sequence;

[0109] The signal after time delay adjustment is subjected to Doppler frequency simulation processing and combined into a dynamic multi-frequency graded signal.

[0110] In one embodiment, the input multi-channel signal is decomposed into a plurality of multi-level signal sequences with different frequency bands and amplitudes through a frequency domain decomposition and dynamic perception quantization algorithm, including:

[0111] Decompose the input multi-channel signal in the frequency domain to obtain signals in different frequency bands;

[0112] Determine the quantization step size of the signals in different frequency bands according to the preset dynamic range of the signals in different frequency bands;

[0113] According to the quantization step lengths of signals in different frequency bands, signals in different frequency bands are quantized to obtain multi-level signal sequences.

[0114] In one embodiment, the multi-level signal sequence is processed according to the signal delay and dynamic simulation accuracy rule to adjust the delay of each frequency band signal in the multi-level signal sequence, including:

[0115] The delay simulation is performed on the frequency domain signal of each frequency band in the multi-level signal sequence, and the corresponding delay of the signal after the delay simulation is adjusted according to the change rate and spectrum characteristics of the signal.

[0116] In one embodiment, performing delay simulation on a signal of each frequency band in a multi-level signal sequence includes:

[0117]

[0118] in, represents the signal obtained after delay simulation of the i-th frequency band signal, F -1 represents the inverse Fourier transform, represents the phase factor of the delay introduced in the frequency domain, Δt is the delay adjustment value for the i-th frequency band signal, and X i (f) represents the frequency domain signal of the i-th frequency band.

[0119] In one embodiment, the delay adjustment value Δt for the i-th frequency band signal is i It is expressed as:

[0120]

[0121] Among them, E i is the energy of the signal in the ith frequency band, f i is the center frequency of the ith frequency band signal, σ 2 i is the variance of the signal in the ith frequency band, MAX(E) is the maximum value of the signal energy, MAX(f) is the maximum value of the signal frequency, MAX(σ 2 ) is the maximum value of the signal variance, ω1, ω2, ω3 are the weight coefficients respectively.

[0122] In one embodiment, the signal after the delay adjustment is subjected to Doppler frequency simulation processing and combined into a dynamic multi-frequency hierarchical signal, including:

[0123] Performing Doppler frequency offset simulation on the signal after adjusting the delay to obtain a frequency domain signal after Doppler frequency compensation, wherein the frequency offset simulation is caused by the movement of the signal source or the receiver;

[0124] The frequency domain signal after Doppler frequency compensation is Fourier transformed and combined into a dynamic multi-frequency hierarchical signal.

[0125] In one embodiment, performing Doppler frequency shift simulation on the signal after adjusting the delay includes:

[0126] Based on the Doppler frequency offset of the signal in each frequency band and the phase factor of the Doppler frequency offset, the Doppler shift simulation is performed on the signal after the delay is adjusted to obtain the frequency domain signal after Doppler frequency compensation.

[0127] The computer-readable storage medium may be an internal storage unit of the dynamic multi-frequency hierarchical signal generating device in the aforementioned embodiment, such as a hard disk or memory of the dynamic multi-frequency hierarchical signal generating device. The computer-readable storage medium may also be an external storage device of the dynamic multi-frequency hierarchical signal generating device, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc., equipped on the dynamic multi-frequency hierarchical signal generating device.

[0128] It should be understood that the terminology used in this application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.

[0129] It will also be understood that the term "and / or" used in this application and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0130] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A method for generating a dynamic multi-frequency hierarchical signal, characterized in that: include: Decompose the input multi-channel signal into multiple multi-level signal sequences with different frequency bands and amplitudes based on frequency domain decomposition and dynamic perception quantization algorithm; Processing the multi-level signal sequence according to signal delay and dynamic simulation accuracy rules to adjust the delay of each frequency band signal in the multi-level signal sequence; The signal after time delay adjustment is subjected to Doppler frequency simulation processing and combined into a dynamic multi-frequency graded signal.

2. The method for generating a dynamic multi-frequency hierarchical signal according to claim 1, characterized in that: The input multi-channel signal is decomposed into a plurality of multi-level signal sequences with different frequency bands and amplitudes based on frequency domain decomposition and dynamic perception quantization algorithm, including: Decomposing the input multi-channel signal in the frequency domain to obtain signals of different frequency bands; Determine the quantization step size of the signals in different frequency bands according to the preset dynamic range of the signals in different frequency bands; The signals of different frequency bands are quantized according to the quantization step lengths of the signals of different frequency bands to obtain the multi-level signal sequence.

3. The method for generating a dynamic multi-frequency hierarchical signal according to claim 1, characterized in that: The processing of the multi-level signal sequence according to the signal delay and dynamic simulation accuracy rule to adjust the delay of each frequency band signal in the multi-level signal sequence includes: A time delay simulation is performed on the frequency domain signal of each frequency band in the multi-level signal sequence, and the corresponding time delay of the signal after the time delay simulation is adjusted according to the change rate and spectrum characteristics of the signal.

4. The method for generating a dynamic multi-frequency hierarchical signal according to claim 3, characterized in that: The delay simulation of the signal of each frequency band in the multi-level signal sequence includes: in, represents the signal obtained after delay simulation of the i-th frequency band signal, F -1 represents the inverse Fourier transform, e j2πfΔt i represents the phase factor of the delay introduced in the frequency domain, Δt is the delay adjustment value for the i-th frequency band signal, and X i (f) represents the frequency domain signal of the i-th frequency band.

5. The method for generating a dynamic multi-frequency hierarchical signal according to claim 4, characterized in that: The delay adjustment value Δt for the i-th frequency band signal i It is expressed as: Among them, E i is the energy of the signal in the ith frequency band, f i is the center frequency of the ith frequency band signal, σ 2 i is the variance of the signal in the ith frequency band, MAX(E) is the maximum value of the signal energy, MAX(f) is the maximum value of the signal frequency, MAX(σ 2 ) is the maximum value of the signal variance, ω1, ω2, ω3 are the weight coefficients respectively.

6. The method for generating a dynamic multi-frequency hierarchical signal according to claim 1, characterized in that: The method of performing Doppler frequency simulation processing on the signal after adjusting the time delay and combining it into a dynamic multi-frequency graded signal includes: Performing Doppler frequency offset simulation on the signal after time delay adjustment to obtain a frequency domain signal after Doppler frequency compensation, wherein the frequency offset simulation is caused by movement of a signal source or a receiver; The frequency domain signal after Doppler frequency compensation is subjected to Fourier transformation and then combined into the dynamic multi-frequency hierarchical signal.

7. The method for generating a dynamic multi-frequency hierarchical signal according to claim 6, characterized in that: The step of simulating the Doppler frequency shift of the signal after adjusting the time delay comprises: Based on the Doppler frequency offset of the signal in each frequency band and the phase factor of the Doppler frequency offset, the Doppler shift simulation is performed on the signal after the delay is adjusted to obtain the frequency domain signal after Doppler frequency compensation.

8. A dynamic multi-frequency hierarchical signal generating device, characterized in that: include: A decomposition module is used to decompose the input multi-channel signal into multiple multi-level signal sequences with different frequency bands and amplitudes based on frequency domain decomposition and dynamic perception quantization algorithm; An adjustment module, used to process the multi-level signal sequence according to the signal delay and dynamic simulation accuracy rules, and adjust the delay of each frequency band signal in the multi-level signal sequence; The combination module is used to perform Doppler frequency simulation processing on the signal after the time delay is adjusted, and combine it into a dynamic multi-frequency hierarchical signal.

9. An electronic device, characterized in that: include: Memory and processing modules; The memory is used to store computer programs; The processing module is used to execute the computer program and implement the steps of the dynamic multi-frequency hierarchical signal generation method as claimed in any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The computer readable storage medium stores a computer program; When the computer program is executed by one or more processing modules, the one or more processing modules execute the steps of the dynamic multi-frequency grading signal generation method according to any one of claims 1 to 7.

Images