Quantization threshold updating method, updating system, electronic equipment and medium
By detecting and quantizing the quantized signal in burst satellite communication and adjusting the quantization threshold adaptively, the problems of low quantization efficiency and high power consumption in the prior art are solved, and the effect of more efficient quantization and power consumption is achieved.
Patent Information
- Application Number
- CN202510215589.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-24
- Publication Date
- 2025-06-13
AI Technical Summary
The prior art uses constant reference signals in burst satellite communications, which cannot efficiently match signal characteristics, resulting in low quantization efficiency and high digital signal processing complexity and power consumption.
By performing burst signal detection on the quantized signal, the first signal interval where there is a burst signal and the second signal interval where there is no burst signal are determined, and non-uniform quantization or uniform quantization are performed respectively to obtain a new quantization threshold to update the quantization threshold.
Adaptive adjustment of quantization threshold is achieved, reducing the quantization bit width, improving the quantization efficiency, reducing the complexity of digital signal processing, and thus reducing power consumption.
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Figure CN120150705A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of communication technologies, and in particular, to a quantization threshold updating method, an updating system, an electronic device, and a medium. Background Art
[0002] An analog-to-digital converter (ADC) is an important source of power consumption in a communication system. High-precision quantization can increase the dynamic range of a signal, reduce the bit error rate, and improve the signal-to-noise ratio. However, the device cost and power consumption increase with the improvement of the quantization precision. The power consumption of an ADC is proportional to the sampling rate and the quantization interval, and the power consumption of baseband digital signal processing is also related to the quantization precision of the ADC, and its magnitude is approximately proportional to the square of the quantization precision. Therefore, reducing the ADC quantization precision as much as possible can reduce the system implementation cost and power consumption and reduce the complexity of digital signal processing algorithms.
[0003] Burst communication is a common communication mode in satellite communication. When there is no burst signal transmission, the analog signal input to the ADC module only contains noise; when there is a burst signal, the analog signal input to the ADC module is characterized by the superposition of the burst signal and the noise signal.
[0004] The reference signal in the quantization method of the prior art is a constant value and lacks flexibility. Especially for burst satellite communication, the signal amplitude difference between the presence and absence of a signal is relatively obvious. Using a constant reference signal cannot efficiently match the signal characteristics, resulting in low quantization efficiency, high digital signal processing complexity, and high power consumption. Summary of the Invention
[0005] In view of this, the present application provides a quantization threshold updating method, an updating system, an electronic device, and a medium.
[0006] The present application discloses a quantization threshold updating method, which includes:
[0007] Quantize the sampled signal with a preset quantization threshold, and detect a burst signal in the quantized signal;
[0008] If the burst signal exists in the quantized signal, determine a first signal interval in which the burst signal exists and a second signal interval in which the burst signal does not exist in the quantized signal;
[0009] Quantize the first signal interval and the second signal interval respectively to obtain a new quantization threshold and update the quantization threshold with it.
[0010] Further, the determining the first signal interval in which the burst signal exists and the second signal interval in which the burst signal does not exist in the quantized signal includes:
[0011] Within the time slot where the burst signal exists, determine a first signal interval where the burst signal exists in the quantized signal according to the amplitude distribution of the signal;
[0012] Within the time slot where the burst signal does not exist, determine a second signal interval where the burst signal does not exist in the quantized signal according to the amplitude distribution of the signal.
[0013] Further, the determining, within the time slot where the burst signal exists, of a first signal interval where the burst signal exists in the quantized signal according to the amplitude distribution of the signal includes:
[0014] When in a high signal-to-noise ratio scenario, take the minimum amplitude of all signals in the time slot where the burst signal exists as the lower limit value of the first signal interval; take the maximum amplitude of all signals in the time slot where the burst signal exists as the upper limit value of the first signal interval.
[0015] Further, the determining, within the time slot where the burst signal does not exist, of a second signal interval where the burst signal does not exist in the quantized signal according to the amplitude distribution of the signal includes:
[0016] When in a high signal-to-noise ratio scenario, take the minimum amplitude of all signals in the time slot where the burst signal does not exist as the lower limit value of the second signal interval; take the maximum amplitude of all signals in the time slot where the burst signal does not exist as the upper limit value of the second signal interval.
[0017] Further, the determining, within the time slot where the burst signal exists, of a first signal interval where the burst signal exists in the quantized signal according to the amplitude distribution of the signal includes:
[0018] When in a low signal-to-noise ratio scenario, set the lower limit value and the upper limit value of the first signal interval where the burst signal exists according to the average value of the absolute values of the amplitudes of all signals in the time slot where the burst signal exists.
[0019] Further, the determining, within the time slot where the burst signal does not exist, of a second signal interval where the burst signal does not exist in the quantized signal according to the amplitude distribution of the signal includes:
[0020] When in a low signal-to-noise ratio scenario, take the minimum amplitude of all signals in the time slot where the burst signal does not exist as the lower limit value of the second signal interval where the burst signal does not exist; take the maximum amplitude of all signals in the time slot where the burst signal does not exist as the upper limit value of the second signal interval where the burst signal does not exist.
[0021] Further, the step of respectively quantifying the first signal interval and the second signal interval to obtain a new quantization threshold and using it to update the quantization threshold includes:
[0022] Non-uniformly quantifying the first signal interval where the burst signal exists to obtain L quantization thresholds; L is a positive integer;
[0023] Non-uniformly quantifying or uniformly quantifying the second signal interval where the burst signal does not exist to obtain N quantization thresholds; N is a positive integer;
[0024] Combining the L quantization thresholds and the N quantization thresholds to obtain a new quantization threshold and using it to update the quantization threshold.
[0025] Further, in the step of combining the L quantization thresholds and the N quantization thresholds, when there is an overlapping part between the first signal interval where the burst signal exists and the second signal interval where the burst signal does not exist, the quantization threshold in the L quantization thresholds corresponding to the overlapping part is used as the quantization threshold of the overlapping part.
[0026] The present application also discloses a quantization threshold update system, which includes:
[0027] A signal detection module, configured to quantify the sampled signal with a preset quantization threshold and detect a burst signal in the quantified signal;
[0028] A signal interval determination module, configured to determine a first signal interval where the burst signal exists and a second signal interval where the burst signal does not exist in the quantified signal if the burst signal exists in the quantified signal;
[0029] A quantization threshold update module, configured to respectively quantify the first signal interval and the second signal interval to obtain a new quantization threshold and use it to update the quantization threshold.
[0030] The present application also discloses an electronic device, which includes a memory and a processor, and the memory stores a computer program, and when the computer program is executed by the processor, the quantization threshold update method described in any one of the above is implemented.
[0031] The present application also discloses a computer-readable storage medium, which includes a computer program or instruction, and when the computer program or instruction runs on a computer, the computer is enabled to execute the quantization threshold update method described in any one of the above.
[0032] Due to the above technical solution, the present application has the following advantages: The present application performs partition quantization on whether there is a burst signal in the quantized signal, adaptively adjusts the quantization threshold, reduces the quantization bit width as a whole, improves the quantization efficiency, reduces the complexity of digital signal processing, and thus reduces the power consumption. Description of the Drawings
[0033] To more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments recorded in the embodiments of the present application. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings.
[0034] Figure 1 It is a schematic flowchart of a quantization threshold update method according to an embodiment of the present application;
[0035] Figure 2 It is a schematic flowchart of another quantization threshold update method according to an embodiment of the present application;
[0036] Figure 3 It is a block diagram of a quantization threshold update system according to an embodiment of the present application;
[0037] Figure 4 It is a block diagram of an electronic device according to an embodiment of the present application. Detailed Embodiments
[0038] The present application will be further described in conjunction with the drawings and embodiments. The described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art shall fall within the scope of protection of the embodiments of the present application.
[0039] See Figure 1 , the embodiments of the present application provide a quantization threshold update method, which includes the following steps:
[0040] Step 101: Quantize the sampled signal with a preset quantization threshold, and detect the burst signal in the quantized signal;
[0041] In a possible implementation manner of the present application, see Figure 2 , after the analog signal is input to the ADC, the ADC first samples the analog signal to obtain a sampling signal, and records the amplitude range of the sampling signal as T all = [V min , V max , where V min represents the minimum value of the sampling signal amplitude, and V max represents the maximum value of the sampling signal amplitude. In [V min , Vmax within the range, according to V min , V max and parameters such as the maximum quantization bit width M of the ADC, set the initial reference threshold (preset quantization threshold) of the ADC, quantize the sampled signal with this initial reference threshold, and detect the burst signal from the quantized signal.
[0042] In an alternative embodiment, the initial reference threshold can be set by means of uniform quantization, and the initial reference threshold of the ADC is set to
[0043] In an alternative embodiment, a burst signal can be detected by implementing a capture algorithm based on FFT (Fast Fourier Transform), a matched filter algorithm, or an estimation algorithm based on a pseudo-random sequence, etc.
[0044] Step 102: If there is a burst signal in the quantized signal, determine the first signal interval where there is a burst signal and the second signal interval where there is no burst signal in the quantized signal;
[0045] In an embodiment of the present application, within the time slot where there is a burst signal, according to the amplitude distribution of the signal (burst signal and noise signal), determine the first signal interval where there is a burst signal in the quantized signal; within the time slot where there is no burst signal, according to the amplitude distribution of the signal (noise signal), determine the second signal interval where there is no burst signal in the quantized signal. Among them, the time slot where there is a burst signal and the time slot where there is no burst signal are different. The time slot where there is a burst signal corresponds to the burst signal and the noise signal, and the time slot where there is no burst signal corresponds to all noise signals. The above-mentioned time slot can be a time period.
[0046] For example, if there is a burst signal in the quantized signal, the time interval corresponding to the quantized signal can be expressed as [T 1 , T 3 , then the time slot where there is a burst signal (the time interval where there is a burst signal) can be expressed as [T 1 , T 2 , and the time slot where there is no burst signal (the time interval where there is no burst signal) can be expressed as [T 2 , T 3 ; among them, T 1 is the minimum value of the time interval corresponding to the quantized signal, and at the same time is the minimum value of the time slot where there is a burst signal; T 2 is the maximum value of the time slot where there is a burst signal, and at the same time is the minimum value of the time slot where there is no burst signal; T 3is the maximum value of the time interval corresponding to the quantized signal, and is also the maximum value of the time slot without burst signals. The time intervals occupied by the burst signals and the noise signals corresponding to the time slots with burst signals are both [T 1 , T 2 .
[0047] It should be noted that the representations of the time intervals with burst signals and the time intervals without burst signals mentioned above are only exemplary, and there can be various forms, and this application does not limit them.
[0048] Optionally, within the time slot with burst signals, according to the amplitude distribution of the signals, determining the first signal interval with burst signals in the quantized signals includes:
[0049] When in a high signal-to-noise ratio (i.e., the signal power is much greater than the noise power) scenario, taking the minimum amplitude of all signals in the time slot with burst signals as the lower limit value of the first signal interval; taking the maximum amplitude of all signals in the time slot with burst signals as the upper limit value of the first signal interval.
[0050] Optionally, within the time slot without burst signals, according to the amplitude distribution of the signals, determining the second signal interval without burst signals in the quantized signals includes:
[0051] When in a high signal-to-noise ratio scenario, taking the minimum amplitude of all signals in the time slot without burst signals as the lower limit value of the second signal interval; taking the maximum amplitude of all signals in the time slot without burst signals as the upper limit value of the second signal interval.
[0052] Optionally, within the time slot with burst signals, according to the amplitude distribution of the signals, determining the first signal interval with burst signals in the quantized signals includes:
[0053] When in a low signal-to-noise ratio (i.e., the signal power is not higher than the noise power) scenario, setting the lower limit value and the upper limit value of the first signal interval with burst signals according to the average value of the absolute values of the amplitudes of all signals in the time slot with burst signals.
[0054] Optionally, within the time slot without burst signals, according to the amplitude distribution of the signals, determining the second signal interval without burst signals in the quantized signals includes:
[0055] When in a low signal-to-noise ratio scenario, taking the minimum amplitude of all signals in the time slot without burst signals as the lower limit value of the second signal interval without burst signals; taking the maximum amplitude of all signals in the time slot without burst signals as the upper limit value of the second signal interval without burst signals.
[0056] Based on the above embodiments, exemplarily, in a high signal-to-noise ratio scenario, a first signal interval with a burst signal is determined according to the maximum and minimum values of all signal amplitudes in the time slots with burst signals and the time slots without burst signals respectively. And a second signal interval without a burst signal. Wherein, is the minimum value of all signal amplitudes in the time slots with burst signals, is the maximum value of all signal amplitudes in the time slots with burst signals; is the minimum value of all signal amplitudes in the time slots without burst signals, is the maximum value of all signal amplitudes in the time slots without burst signals. For example: If there are burst signals in time slots 3 and 5, the amplitude range of all signals in time slot 3 is [-3, 3.8], and the amplitude range of all signals in time slot 5 is [-3.2, 3.6]. After combining time slots 3 and 5, the amplitude range with burst signals [-3.2, 3.8] is obtained. If there are no burst signals in time slots 1, 2, and 4, the amplitude range of all signals in time slot 1 is [-1.2, 2.1], the amplitude range of all signals in time slot 2 is [-0.9, 1.8], and the amplitude range of all signals in time slot 4 is [-0.7, 1.9]. Then, by combining time slots 1, 2, and 4, the amplitude range without burst signals [-1.2, 2.1] is obtained.
[0057] Based on the above embodiments, exemplarily, in a low signal-to-noise ratio scenario, in the time slots without burst signals, a second signal interval without a burst signal is determined according to the maximum and minimum values of all signal amplitudes. Wherein, is the minimum value of all signal amplitudes in the time slots without burst signals, is the maximum value of all signal amplitudes in the time slots without burst signals. The first signal interval with a burst signal is T s =[-V exp , V exp , wherein, is the average value of the absolute values of all signal amplitudes in the time slots with burst signals, and α is an empirical value coefficient. Set the upper limit value of the first signal interval with a burst signal to be The reason is that Gaussian white noise is a random variable, and there is a low probability of relatively high signal pulses. In the case of low signal-to-noise ratio, it will interfere with the judgment of the amplitude values in the interval with burst signals. For example: The maximum value of the signal amplitude is about 1 - 2, and at this time, a noise pulse with an amplitude as high as 5 appears. Then, there is actually no signal between amplitudes 2 - 5, and quantization is meaningless. By calculating And multiply it by α to avoid ineffective quantization of noise pulses. α can be the peak-to-average ratio of the signal (the ratio of the peak amplitude to the average amplitude, which is generally relatively stable and empirical values can be used).
[0058] Step 103: Quantize the first signal interval and the second signal interval respectively to obtain new quantization thresholds and use them to update the quantization thresholds.
[0059] In an embodiment of the present application, non-uniform quantization is performed on the first signal interval with burst signals to obtain L quantization thresholds; L is a positive integer; here, through non-uniform quantization, the characteristics of burst signals are better extracted. Compared with traditional uniform quantization, the quantization bit number is effectively reduced on the premise of the same signal-to-noise ratio and error performance. Among them, non-uniform quantization of the first signal interval of burst signals can be performed in parallel. Non-uniform quantization or uniform quantization is performed on the second signal interval without burst signals to obtain N quantization thresholds; N is a positive integer. The L quantization thresholds and the N quantization thresholds are combined to obtain new quantization thresholds and use them to update the quantization thresholds.
[0060] In the above embodiment, since non-uniform quantization is performed on the first signal interval with burst signals and non-uniform quantization or uniform quantization is performed on the second signal interval without burst signals, more refined quantization is achieved when there are burst signals, and coarse quantization is performed when there are no burst signals.
[0061] On the basis of the above embodiment, the L quantization thresholds and the N quantization thresholds are combined. If there is an overlapping part between the first signal interval with burst signals and the second signal interval without burst signals, the quantization thresholds among the L quantization thresholds corresponding to the overlapping part are used as the quantization thresholds of the overlapping part to obtain K combined quantization thresholds, and the quantization thresholds are updated using the K quantization thresholds; K is a positive integer. K≤N + L<2 M , where K≤N + L means that the number of combined thresholds is less than or equal to the sum of the quantization threshold numbers of the two amplitude intervals (the first signal interval and the second signal interval) before combination, and the equal sign holds when there is no overlap between the two amplitude intervals; N + L<2 M It means that after partition quantization, especially after non-uniform quantization of the first signal interval with burst signals, the number of quantization thresholds is reduced, which is less than the case of using the maximum quantization bit width M.
[0062] This application performs partition quantization on whether there is a burst signal in the quantized signal. It performs non-uniform quantization on the first signal interval with burst signals and uniform or non-uniform quantization on the second signal interval without burst signals. By adaptively adjusting the quantization threshold based on the characteristics of different signals (whether there is a burst signal in the signal), compared with traditional quantization methods, it can effectively reduce the quantization bits, decrease the quantization bit width, achieve an overall reduction in the quantization bit width, improve the quantization efficiency, reduce the complexity of digital signal processing, and thus reduce the power consumption.
[0063] Based on the above embodiments, exemplarily, refer to Figure 2 , the first signal interval with burst signals is T s = [-4, 4]. After non-uniform quantization based on K-means clustering, a set Th l = {-4, -3.2, -2, -1.2, 1.2, 2, 3.2, 4} is obtained. The second signal interval without burst signals is T n = [-2, 2]. After uniform quantization, a set Th n = {-1.5, -0.5, 0.5, 1.5} is obtained. Since there is an overlapping interval between T s and T n , for the quantization result of the overlapping interval [-2, 2], the quantization result of Th l in the overlapping interval is used as the quantization threshold for the overlapping interval, that is, the set of quantization thresholds {-2, -1.2, 1.2, 2} of Th l quantized in the overlapping interval [-2, 2] is used as the quantization threshold for the overlapping interval, rather than {-1.5, -0.5, 0.5, 1.5}. After combining Th l and Th n , the resulting set of quantization thresholds is Th k = {-4, -3.2, -2, -1.2, 1.2, 2, 3.2, 4}, which includes a total of 8 quantization thresholds. Th k is used as the quantization threshold of the ADC for subsequent quantization.
[0064] This embodiment of the application mainly aims at the ADC in burst satellite communication and designs a low-bit quantization method with an adaptive adjustment of the quantization reference threshold. After quantizing the signals in two cases of burst signal transmission and non-burst signal transmission respectively and feeding them back to the ADC as the reference threshold, it can adaptively adjust the quantization threshold, effectively reduce the quantization bits, compress the quantization bits, improve the quantization efficiency, and further reduce the implementation power consumption and the complexity of subsequent digital signal processing.
[0065] Refer to Figure 3, an embodiment of the present application further provides a quantization threshold update system, which includes:
[0066] A signal detection module, configured to quantize the sampled signal with a preset quantization threshold and detect burst signals in the quantized signal;
[0067] A signal interval determination module, configured to determine a first signal interval with burst signals and a second signal interval without burst signals in the quantized signal if there are burst signals in the quantized signal;
[0068] A quantization threshold update module, configured to quantize the first signal interval and the second signal interval respectively, obtain a new quantization threshold and use it to update the quantization threshold.
[0069] Refer to Figure 4 , an embodiment of the present application further provides an electronic device, which includes a processor, a bus, a memory, and a communication interface. The processor, the memory, and the communication interface are connected through the bus. The processor can be a CPU (Central Processing Unit), or other general-purpose processors, DSP (Digital Signal Processor), ASIC (Application Specific Integrated Circuit), FPGA (Field Programmable Gate Array), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor, etc. The communication interface is used to implement the communication between the electronic device and external devices or components. The communication interface is used to perform data interaction with other computing devices. The bus can include a path for transmitting information between the above components (such as the processor and the memory). In addition to the data bus, the bus can also include a power bus, a control bus, a status signal bus, etc. As an example, the electronic device can include multiple processors. The processor can refer to one or more devices, circuits, and / or computing units for processing data (such as computer programs). The processor can call the computer program stored in the memory to implement the quantization threshold update method described in the above embodiment. Figure 4 In , only the case where the electronic device includes 1 processor and 1 memory is taken as an example. The processor and the memory are respectively used to indicate a type of device or component, and the number of each type of device or component can be determined according to business requirements.
[0070] An embodiment of the present application further provides a computer-readable storage medium, which includes a computer program or instruction. When the computer program or instruction runs on a computer, the computer is enabled to execute the quantization threshold update method described in the above embodiment.
[0071] It should be noted that in various embodiments of the present application, the magnitude of the sequence numbers of the above processes does not indicate the order of execution, and the execution order of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
[0072] Those skilled in the art should clearly understand that for the convenience and simplicity of description, the specific working processes of the quantization threshold update system, electronic device, and computer-readable storage medium described in the above embodiments can refer to the corresponding processes in the foregoing method embodiments, and will not be elaborated herein.
[0073] Those of ordinary skill in the art can understand that all or part of the steps to implement the above embodiments can be completed by hardware, or can be completed by a program instructing relevant hardware. The program can be stored in a computer-readable storage medium, and the storage medium mentioned above can be a read-only memory, a magnetic disk, an optical disk, etc.
[0074] The above are only optional embodiments of the present application, which are only used to illustrate the technical solutions of the present application and not to limit them. Any modifications, equivalent replacements, improvements, etc. made to the specific implementation manners of the present application without departing from the spirit and scope of the present application shall be covered by the protection scope of the present application.
Claims
1. A quantization threshold updating method, characterized in that: include: Quantizing the sampled signal with a preset quantization threshold, and detecting burst signals on the quantized signal; If the burst signal exists in the quantized signal, determining a first signal interval in which the burst signal exists and a second signal interval in which the burst signal does not exist in the quantized signal; The first signal interval and the second signal interval are quantized respectively to obtain a new quantization threshold and use the new quantization threshold to update the quantization threshold.
2. The quantization threshold updating method according to claim 1, characterized in that: The determining of a first signal interval in which the burst signal exists and a second signal interval in which the burst signal does not exist in the quantized signal includes: In the time slot where the burst signal exists, determining, according to the amplitude distribution of the signal, a first signal interval where the burst signal exists in the quantized signal; In a time slot where the burst signal does not exist, a second signal interval in which the burst signal does not exist in the quantized signal is determined according to the amplitude distribution of the signal.
3. The quantization threshold updating method according to claim 2, characterized in that: The step of determining, in a time slot where the burst signal exists, according to the amplitude distribution of the signal, a first signal interval where the burst signal exists in the quantized signal comprises: In a high signal-to-noise ratio scenario, the minimum amplitude value of all signals in the time slot where the burst signal exists is used as the lower limit value of the first signal interval; the maximum amplitude value of all signals in the time slot where the burst signal exists is used as the upper limit value of the first signal interval.
4. The quantization threshold updating method according to claim 2 or 3, characterized in that: The step of determining, in a time slot where the burst signal does not exist, according to the amplitude distribution of the signal, a second signal interval in which the burst signal does not exist in the quantized signal comprises: In a high signal-to-noise ratio scenario, the minimum amplitude value of all signals in the time slot where the burst signal does not exist is used as the lower limit value of the second signal interval; the maximum amplitude value of all signals in the time slot where the burst signal does not exist is used as the upper limit value of the second signal interval.
5. The quantization threshold updating method according to claim 2, characterized in that: The step of determining, in a time slot where the burst signal exists, according to the amplitude distribution of the signal, a first signal interval where the burst signal exists in the quantized signal comprises: In a low signal-to-noise ratio scenario, the lower limit and upper limit of the first signal interval where the burst signal exists are set according to the average value of the absolute values of the amplitudes of all signals in the time slot where the burst signal exists.
6. The quantization threshold updating method according to claim 2 or 5, characterized in that: The step of determining, in a time slot where the burst signal does not exist, according to the amplitude distribution of the signal, a second signal interval in which the burst signal does not exist in the quantized signal comprises: In a low signal-to-noise ratio scenario, the minimum amplitude value of all signals in the time slot where the burst signal does not exist is used as the lower limit value of the second signal interval where the burst signal does not exist; the maximum amplitude value of all signals in the time slot where the burst signal does not exist is used as the upper limit value of the second signal interval where the burst signal does not exist.
7. The quantization threshold updating method according to claim 1, characterized in that: The quantizing the first signal interval and the second signal interval respectively to obtain a new quantization threshold and using the new quantization threshold to update the quantization threshold includes: Performing non-uniform quantization on the first signal interval where the burst signal exists to obtain L quantization thresholds, where L is a positive integer; Performing non-uniform quantization or uniform quantization on the second signal interval where the burst signal does not exist, to obtain N quantization thresholds, where N is a positive integer; The L quantization thresholds and the N quantization thresholds are combined to obtain a new quantization threshold and the new quantization threshold is used to update the quantization threshold.
8. The quantization threshold updating method according to claim 7, characterized in that: In the merging of the L quantization thresholds and the N quantization thresholds, when there is an overlapping part between the first signal interval where the burst signal exists and the second signal interval where the burst signal does not exist, the quantization threshold among the L quantization thresholds corresponding to the overlapping part is used as the quantization threshold of the overlapping part.
9. A quantization threshold updating system, characterized in that: include: A signal detection module, used to quantize the sampled signal with a preset quantization threshold and detect burst signals on the quantized signal; a signal interval determination module, configured to determine, if the burst signal exists in the quantized signal, a first signal interval in which the burst signal exists and a second signal interval in which the burst signal does not exist in the quantized signal; The quantization threshold updating module is used to quantize the first signal interval and the second signal interval respectively, obtain a new quantization threshold and use the new quantization threshold to update the quantization threshold.
10. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the quantization threshold updating method according to any one of claims 1 to 8 is implemented.
11. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a computer program or an instruction. When the computer program or the instruction is executed on a computer, the computer is enabled to execute the quantization threshold updating method according to any one of claims 1 to 8.