CN102170416B - Peak clipping structure and peak clipping method based on slip window peak detection - Google Patents

Peak clipping structure and peak clipping method based on slip window peak detection Download PDF

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CN102170416B
CN102170416B CN 201010605472 CN201010605472A CN102170416B CN 102170416 B CN102170416 B CN 102170416B CN 201010605472 CN201010605472 CN 201010605472 CN 201010605472 A CN201010605472 A CN 201010605472A CN 102170416 B CN102170416 B CN 102170416B
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曹雨
杜仲
周世军
江浩洋
陈付齐
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Wuhan Research Institute of Posts and Telecommunications Co Ltd
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Abstract

The invention relates to a peak clipping structure and a peak clipping method based on slip window peak detection. In the structure, the peak clipping structure with the completely same multi-stage structure is used, and the peak clipping structure at each stage is connected with the peak clipping structure at the adjacent stage in a direct cascaded mode. In the method, the peak clipping structure with the completely same multi-stage structure is used, low peal average ratio intermediate frequency data are directly input to a magnitude phase generation module of the second-stage peak structure, and by parity of reasoning, the process is completed until the data are input to the last-stage peak clipping structure. The peak clipping structure and peak clipping method are simply achieved and has strong applicability, resources are less occupied, the over-peak clipping problem can be well solved, and the error vector magnitude (EVM) is improved.

Description

A kind of peak clipping structure and despicking method that detects based on the sliding window peak value
Technical field
The present invention relates to a kind of important signal processing technology in digital communication system, the peak clipping technology; Be particularly related to a kind of peak clipping structure and despicking method that detects based on the sliding window peak value
Background technology
In Modern Mobile Communications Systems, the application of multi-user and multi-transceiver technology can cause the problem of high peak-to-average force ratio (Peak Average Ratio, PAR).On the one hand, high peak-to-average force ratio can directly cause the rollback of power amplifier on peak value, directly affects the efficient of power amplifier; On the other hand, high peak-to-average force ratio can directly affect the performance of digital pre-distortion (Digital Pre-Distortion, DPD), thereby affects the linearisation of power amplifier.Therefore, in order to improve power amplification efficiency, it is particularly necessary that the peak clipping technology seems.
At present more common peak clipping technology Finite Amplitude class technology, coding class technology, probability class technology.But because the computation complexity of coding class and probability class technology is too high, for all not too suitable in most of practical communication system.Amplitude limit class technology algorithm is simple, and amplitude limit class technology commonly used mainly contains two kinds: noise shaped filtering technique and peak value offset technology.
Wherein noise shaped filtering method is the thresholding according to system and setting, will greater than the direct cancellation of all signals of thresholding, then filter by narrow band filter.The method realizes fairly simple, but the method can cause the more serious peak clipping of crossing, and worsens Error Vector Magnitude (Error VectorMagnitude, EVM); And the related narrow band filter of the method is wasted multiplier resources very much.
Peak value offset method only carries out peak clipping for the maximum of crossing the thresholding interval and processes, and has reduced to a certain extent and has crossed peak clipping; And the method utilizes the characteristics of impulse response, and the function of using a multiplier to finish filter has been saved multiplier resources greatly, is particularly suitable for field programmable gate array (Filed Programmable Gate Array, FPGA).But traditional peak value offset method is processed for all maximums, still can have the peak clipping problem to a certain extent.
Summary of the invention
The purpose of this invention is to provide a kind of peak clipping structure and despicking method that detects based on the sliding window peak value.The method adopts a kind of method of dynamic sliding window detection peak on the basis of peak value offset method, for the different systems intermediate frequency data, dynamically adjust sliding window length, can better solve the peak clipping problem, improve EVM, and realize that simply applicability is strong, resource occupation is less.
The present invention is based on the peak clipping structure that the sliding window peak value detects, contain the duplicate peak structure that disappears of multilevel hierarchy, and disappear peak structure and the adjacent levels at different levels peak structure that disappears adopts the mode of direct cascade to link to each other, be that the disappear output of peak structure of the first order directly links to each other with the disappear input of peak structure of the second level, and every one-level peak clipping structure is just the same, as shown in Figure 2, every one-level peak clipping structure is mainly by following module composition: the amplitude-phase generation module, the sine and cosine look-up table means, the sliding window peak detection block, peak clipping unit (Cannel Plus Generator, CPG) distribution and Multiplexing module, peak clipping noise generation module, the filter coefficient memory module, the noise filtering module, the peak clipping output module, intermediate frequency data input range phase place generation module, the amplitude-phase generation module links to each other with the sliding window peak detection block with the sine and cosine look-up table means respectively, the distribution of peak clipping unit and Multiplexing module link to each other with the sliding window peak detection block, peak clipping noise generation module respectively with the sine and cosine look-up table means, the peak clipping unit distributes and Multiplexing module, the noise filtering module links to each other, and the noise filtering module links to each other with the peak clipping output module with the filter coefficient memory module respectively.
Described sliding window peak detection block mainly comprises with lower module: cross thresholding Interval Maximum value detection module, maximum value search module, time delay module, peak flag generation module, amplitude-phase generation module input links to each other with time delay module with mistake thresholding Interval Maximum value detection module respectively, cross thresholding Interval Maximum value detection module and link to each other with the maximum value search module, the peak flag generation module links to each other with time delay module, maximum value search module respectively.
A kind of despicking method that detects based on the sliding window peak value, this method adopts the duplicate peak structure that disappears of multilevel hierarchy, as shown in Figure 1, and disappear peak structure and the adjacent levels at different levels peak structure that disappears adopts the mode of direct cascade to link to each other, the disappear low peak average ratio intermediate frequency data of peak clipping output module output of peak structure of the first order is directly inputted the disappear amplitude-phase generation module of peak structure of the second level, by that analogy, the one-level peak structure that disappears to the last, as shown in Figure 2, every one-level peak clipping structure is carried out the peak clipping step and is: original intermediate frequency data (I, Q) calculate amplitude and phase place through the amplitude-phase generation module, amplitude enters the sliding window peak detection block, utilizes the sliding window detection method to detect maximum according to the peak value detection threshold; Phase place enters the sine and cosine look-up table means, obtains sine and cosine data corresponding to intermediate frequency data (I, Q); The sliding window peak detection block is distributed the maximum input CPG that obtains and Multiplexing module, and CPG distributes and Multiplexing module contains a plurality of CPG, and CPG distribution and Multiplexing module are distributed to successively multichannel CPG with the maximum of input and processed; The maximum that CPG distributes and Multiplexing module obtains is poor with the peak clipping thresholding in peak clipping noise generation module, and carries out complex multiplication operation with corresponding synchronous sine and cosine data and obtain the peak clipping noise data; With the filter coefficient data of peak clipping noise data and filter coefficient memory module output corresponding carry out the synchronous multiplication computing, and the peak clipping noise that each CPG passage obtains added up synchronously obtain filtered peak clipping noise; Finally, the peak clipping output module namely obtains low peak average ratio intermediate frequency data through corresponding time-delay with the addition of peak clipping Noise Synchronization with original intermediate frequency data I, original intermediate frequency data Q data.
The present invention comprises that further the sliding window peak detection block adopts cycle reset mechanism, namely the sliding window peak detection block utilizes frame head as handshake, all the time the initial time that detects as peak value with frame head, each frame head arrives, the sliding window peak detection block periodically automatically resets, again begin to detect maximum from frame head, improved Systems balanth.
The present invention comprises that further the passage of a plurality of CPG in CPG distribution and the Multiplexing module adopts multiplexing mechanism, CPG distribution and Multiplexing module are according to the multiple of clock and intermediate frequency data sample rate, a plurality of CPG passages are carried out multiplexing, reduce as much as possible multiplier resources and memory resource.
The present invention comprises that further detection threshold and peak clipping thresholding adopt gradient that mechanism is set, detection threshold value is set a little more than the peak clipping threshold value, do not processed for the peak value a little more than threshold value, can be alleviated the pressure that CPG processes peak value, further can be solved to a certain extent the peak clipping problem.
The present invention comprises that further sliding window length adopts adjustable mechanism, utilize the sliding window peak detection block to detect the interior maximum of sliding window length, be not all peak values to be carried out peak clipping process, can alleviate the pressure that CPG processes peak value, solved to a certain extent the peak clipping problem simultaneously; Further can be according to the different qualities of input data, flexible configuration sliding window length is adapted to the mobile communication system of different systems.
The present invention further comprises namely filter coefficient employing of peak clipping coefficient immediate updating mechanism, peak clipping coefficient immediate updating, for the signal of different bandwidth, upgrade at any time corresponding filter coefficient, can make this invention more be applicable to the mobile communication system of different systems.
The present invention has the advantages that framework is realized simply, resource is few, applicability is strong and be conducive to the stability of a system.According to the despicking method that detects based on the sliding window peak value of the present invention, dynamically adjust sliding window length in addition, can effectively solve the peak clipping problem, improve EVM.
Description of drawings
Fig. 1 is the framework schematic diagram based on the multistage peak structure that disappears of sliding window peak value detection.
Fig. 2 is the framework schematic diagram based on the one-level peak clipping system of sliding window peak value detection.
Fig. 3 detects the framework schematic diagram based on the sliding window peak value.
Fig. 4 detects schematic diagram for maximum in detecting based on the sliding window peak value.
Fig. 5 is maximum value search process schematic diagram in detecting based on the sliding window peak value.
Embodiment
Below in conjunction with accompanying drawing the specific embodiment of the present invention is described further.
The present invention can adopt the multistage peak clipping structure that detects based on the sliding window peak value, and every one-level peak clipping structure is just the same.As shown in Figure 2, every one-level peak clipping structure is mainly by following module composition: the amplitude-phase generation module, the sine and cosine look-up table means, the sliding window peak detection block, peak clipping unit (Cannel Plus Generator, CPG) distribution and Multiplexing module, peak clipping noise generation module, the filter coefficient memory module, the noise filtering module, the peak clipping output module, intermediate frequency data input range phase place generation module, the amplitude-phase generation module links to each other with the sliding window peak detection block with the sine and cosine look-up table means respectively, the distribution of peak clipping unit and Multiplexing module link to each other with the sliding window peak detection block, peak clipping noise generation module respectively with the sine and cosine look-up table means, the peak clipping unit distributes and Multiplexing module, the noise filtering module links to each other, and the noise filtering module links to each other with the peak clipping output module with the filter coefficient memory module respectively.
A kind of despicking method that detects based on the sliding window peak value, this method adopt the multistage peak clipping structure that detects based on the sliding window peak value.As shown in Figure 1, the disappear low peak average ratio intermediate frequency data of peak clipping output module output of peak structure of the first order is directly inputted the disappear amplitude-phase generation module of peak structure of the second level, by that analogy, the one-level peak structure that disappears to the last, as shown in Figure 2, every one-level peak clipping structure is carried out the peak clipping step and is: original intermediate frequency data (I, Q) calculates amplitude and phase place through the amplitude-phase generation module, amplitude enters the sliding window peak detection block, utilizes the sliding window detection method to detect maximum according to the peak value detection threshold; Phase place enters the sine and cosine look-up table means, obtains sine and cosine data corresponding to intermediate frequency data (I, Q); The sliding window peak detection block is distributed the maximum input CPG that obtains and Multiplexing module, and CPG distributes and Multiplexing module contains a plurality of CPG unit, and CPG distribution and Multiplexing module are distributed to successively multichannel CPG with the maximum of input and processed; The maximum that CPG distributes and Multiplexing module obtains is poor with the peak clipping thresholding in peak clipping noise generation module, and carries out complex multiplication operation with corresponding synchronous sine and cosine data and obtain the peak clipping noise data; With the filter coefficient data of peak clipping noise data and filter coefficient memory module output corresponding carry out the synchronous multiplication computing, and the peak clipping noise that each CPG passage obtains added up synchronously obtain filtered peak clipping noise; Finally, the peak clipping output module namely obtains low peak average ratio intermediate frequency data through corresponding time-delay with the addition of peak clipping Noise Synchronization with original intermediate frequency data I, original intermediate frequency data Q data.
The present invention comprises that further the sliding window peak detection block adopts cycle reset mechanism, namely the sliding window peak detection block utilizes frame head as handshake, all the time the initial time that detects as peak value with frame head, each frame head arrives, the sliding window peak detection block periodically automatically resets, again begin to detect maximum from frame head, improved Systems balanth.
The present invention comprises that further the passage of a plurality of CPG in CPG distribution and the Multiplexing module adopts multiplexing mechanism, CPG distribution and Multiplexing module are according to the multiple of clock and intermediate frequency data sample rate, a plurality of CPG passages are carried out multiplexing, reduce as much as possible multiplier resources and memory resource.
The present invention comprises that further detection threshold and peak clipping thresholding adopt gradient that mechanism is set, detection threshold value is set a little more than the peak clipping threshold value, do not processed for the peak value a little more than threshold value, can be alleviated the pressure that CPG processes peak value, further can be solved to a certain extent the peak clipping problem.
The present invention comprises that further sliding window length adopts adjustable mechanism, utilize the sliding window peak detection block to detect the interior maximum of sliding window length, be not all peak values to be carried out peak clipping process, can alleviate the pressure that CPG processes peak value, solved to a certain extent the peak clipping problem simultaneously; Further can be according to the different qualities of input data, flexible configuration sliding window length is adapted to the mobile communication system of different systems.
The present invention further comprises namely filter coefficient employing of peak clipping coefficient immediate updating mechanism, peak clipping coefficient immediate updating, for the signal of different bandwidth, upgrade at any time corresponding filter coefficient, can make this invention more be applicable to the mobile communication system of different systems.
As shown in Figure 1, the amplitude-phase generation module is mainly finished the amplitude of original intermediate frequency I, Q data and the calculating of phase place.This module adopts the method for rotation of coordinate, calculates amplitude and the phase place of signal, can under the prerequisite that guarantees required precision, save to a great extent multiplier resources.Amplitude wherein
Figure BDA0000040739270000051
Phase place phase=atan (Q/I); Wherein I represents the I circuit-switched data, and Q represents Q circuit-switched data, mag DataThe amplitude of expression intermediate frequency I, Q data, phase represents the phase place of intermediate frequency I, Q data.
As shown in Figure 2, the sine and cosine look-up table means is mainly finished the sine and cosine output of original intermediate frequency I, Q data corresponding phase, and this module adopts the method for look-up table to save multiplier resources.
As shown in Figure 2, the sliding window peak detection block is mainly finished the function that maximum detects.As shown in Figure 3, the sliding window peak detection block mainly comprises with lower module: cross thresholding Interval Maximum value detection module, maximum value search module, time delay module, peak flag generation module, amplitude-phase generation module input links to each other with time delay module with mistake thresholding Interval Maximum value detection module respectively, cross thresholding Interval Maximum value detection module and link to each other with the maximum value search module, the peak flag generation module links to each other with time delay module, maximum value search module respectively.
As shown in Figure 3, cross thresholding Interval Maximum value detection module and mainly finished thresholding Interval Maximum value detection function.Detailed process as shown in Figure 3, the peak value detection threshold is G1, supposes that current sampling point amplitude is mag Data1, last sampling point amplitude is mag Daya0, next sampling point amplitude is mag Data2If mag Data1>mag Data2>G1, mag Data1>mag Data0>G1 judges that then current sampling point is maximum point.As shown in Figure 4, A, B, 3 of C are maximum point.
As shown in Figure 3, the maximum value search module is mainly finished peaked detection function.Detailed process supposes that sliding window length is L1 as shown in Figure 5, take frame head as the search original position, supposes A point first maximum point for searching, and sliding window L1 starting point moves to the A point.Continue forward search, in sliding window, do not find maximum point, then constantly export maximum A at sliding window L1 terminal point.Continue to search forward maximum point B, sliding window L1 starting point moves to the B point, continue to arrive forward maximum C point, because the C point is in sliding window L1, and C point amplitude<B point amplitude, then gives up the C point, continue forward, until sliding window L1 terminal point constantly, is not found maximum, the maximum B that output this time searches out.Continue to search forward maximum D point, sliding window L1 starting point moves to the D point, continues to arrive forward maximum E point, because the E point is in sliding window L1, and E point amplitude>D point amplitude, then gives up the D point, sliding window L1 starting point moves to the E point, continues to arrive forward maximum point F, because the F point is in sliding window L1, and F point amplitude<E point amplitude, then give up the F point, continue forward, until sliding window L1 terminal point constantly, do not find maximum, the maximum E that output this time searches out.Repeat said process, finally export the maximum sequence.
As shown in Figure 3, former amplitude data through the DELAY module, is compared at peak flag generation module and maximum value search module output ground maximum sequence, just can produce corresponding peak flag.Wherein, as shown in Figure 5, by the maximum value search process as can be known the time-delay of DELAY module fix, fixedly equal sliding window length L 1.
As shown in Figure 2, CPG distribution and Multiplexing module are mainly finished and are followed successively by the distribution that pending maximum is carried out CPG, and carry out parallel-serial conversion.Suppose that the peak clipping filter length is L, the multiple of clock and sample rate is N, and the number of CPG is M*N.Distribute for CPG, owing to being L to filter to processing time of each data, must guarantee that therefore the interval of two maximum of points of distributing before and after each CPG unit is greater than filter length L; Multiplexing for CPG, every N CPG can parallel-serial conversion be 1 the tunnel, and shared resource is processed in multiplexing 1 tunnel peak clipping; M*N CPG can parallel-serial conversion be the M road so, compares with multiplexing front M*N road and saved a lot of multiplier resources.
As shown in Figure 2, peak clipping noise generation module is mainly finished the generation of each road CPG passage peak clipping noise.The maximum amplitude and the peak clipping thresholding that search out is poor, and sine and cosine output carried out complex multiplication synchronously through time delay and difference, obtain I, the Q two paths of data of peak clipping noise.
As shown in Figure 2, the noise filtering module is mainly finished the filtering of peak clipping noise and the summation function of each road CPG passage peak clipping noise.The noise filtering module is utilized the characteristics of impulse response, replaces filter to finish filter function with a complex multiplier.Concrete process is as follows: suppose that filter order is L, the peak clipping noise that pending maximum A point is corresponding is NA, then directly directly carry out complex multiplication with NA and filter coefficient and get final product, can find out that each maximum filter processing time is filter order L.Filter output is compared with source data fixing time delay, i.e. a L/2.
As shown in Figure 2, peak-clipping module is mainly finished the output function of final low peak average ratio intermediate frequency data.Original intermediate frequency data through certain time delay module, is carried out addition with filtered peak clipping noise and obtains the low peak average ratio intermediate frequency data.
In sum, the present invention has the advantages that framework is realized simply, resource is few, applicability is strong and be conducive to the stability of a system.According to the despicking method that detects based on the sliding window peak value of the present invention, can effectively solve the peak clipping problem in addition, improve EVM.
Above-mentioned example of the present invention is only realized for explanation method of the present invention; anyly be familiar with the people of this technology in the disclosed technical scope of the present invention; all can expect easily its variation and replacement, so protection range of the present invention should be encompassed within the protection range that is limited by claims all.

Claims (1)

1. the peak clipping structure that detects based on the sliding window peak value, contain the duplicate peak clipping structure of multilevel hierarchy, and peak clipping structures at different levels adopt the mode of direct cascade to link to each other with adjacent level peak clipping structure, it is characterized in that: every one-level peak clipping structure is mainly by following module composition: the amplitude-phase generation module, the sine and cosine look-up table means, the sliding window peak detection block, the peak clipping unit distributes and Multiplexing module, peak clipping noise generation module, the filter coefficient memory module, the noise filtering module, the peak clipping output module, intermediate frequency data input range phase place generation module, the amplitude-phase generation module links to each other with the sliding window peak detection block with the sine and cosine look-up table means respectively, the distribution of peak clipping unit and Multiplexing module link to each other with the sliding window peak detection block, peak clipping noise generation module respectively with the sine and cosine look-up table means, the peak clipping unit distributes and Multiplexing module, the noise filtering module links to each other, and the noise filtering module links to each other with the peak clipping output module with the filter coefficient memory module respectively;
Described amplitude-phase generation module calculates amplitude and phase place from original intermediate frequency data (I, Q);
Described sine and cosine look-up table means obtains sine and cosine data corresponding to intermediate frequency data (I, Q) from the phase place of input;
Described sliding window peak detection block utilizes the sliding window detection method to detect the maximum of amplitude according to the peak value detection threshold;
Described peak clipping unit CPG distribution and Multiplexing module are distributed to successively multichannel CPG from the amplitude maximum of input and are processed;
It is poor that described peak clipping noise generation module carries out the amplitude maximum of input with the peak clipping thresholding, and carry out complex multiplication operation with corresponding synchronous sine and cosine data and obtain the peak clipping noise data;
Described filter coefficient memory module output filter coefficient data;
Described noise filtering module with the peak clipping noise data corresponding with filter coefficient data carry out the synchronous multiplication computing, and the peak clipping noise that each CPG passage obtains added up synchronously obtain filtered peak clipping noise;
Described peak clipping output module namely obtains low peak average ratio intermediate frequency data through corresponding time-delay with the addition of peak clipping Noise Synchronization with original intermediate frequency data I, original intermediate frequency data Q data.
2, the peak clipping structure that detects based on the sliding window peak value according to claim 1, it is characterized in that: described sliding window peak detection block mainly comprises with lower module: cross thresholding Interval Maximum value detection module, maximum value search module, time delay module, peak flag generation module, amplitude-phase generation module input links to each other with time delay module with mistake thresholding Interval Maximum value detection module respectively, cross thresholding Interval Maximum value detection module and link to each other with the maximum value search module, the peak flag generation module links to each other with time delay module, maximum value search module respectively.
3, a kind of despicking method that detects based on the sliding window peak value, this method adopts the duplicate peak clipping structure of multilevel hierarchy, and peak clipping structures at different levels adopt the mode of direct cascade to link to each other with adjacent level peak clipping structure, the low peak average ratio intermediate frequency data of the peak clipping output module output of first order peak clipping structure is directly inputted the amplitude-phase generation module of second level peak clipping structure, by that analogy, to the last one-level peak clipping structure; It is characterized in that: every one-level peak clipping structure is carried out the peak clipping step and is: original intermediate frequency data (I, Q) calculates amplitude and phase place through the amplitude-phase generation module, amplitude enters the sliding window peak detection block, utilizes the sliding window detection method to detect maximum according to the peak value detection threshold; Phase place enters the sine and cosine look-up table means, obtains sine and cosine data corresponding to intermediate frequency data (I, Q); The sliding window peak detection block is distributed the maximum input peak clipping unit CPG that obtains and Multiplexing module, and CPG distributes and Multiplexing module contains a plurality of CPG, and CPG distribution and Multiplexing module are distributed to successively multichannel CPG with the maximum of input and processed; The maximum that CPG distributes and Multiplexing module obtains is poor with the peak clipping thresholding in peak clipping noise generation module, and carries out complex multiplication operation with corresponding synchronous sine and cosine data and obtain the peak clipping noise data; With the filter coefficient data of peak clipping noise data and filter coefficient memory module output corresponding carry out the synchronous multiplication computing, and the peak clipping noise that each CPG passage obtains added up synchronously obtain filtered peak clipping noise; Finally, the peak clipping output module obtains low peak average ratio intermediate frequency data through corresponding time-delay with the addition of peak clipping Noise Synchronization with original intermediate frequency data I, original intermediate frequency data Q data.
4, the despicking method that detects based on the sliding window peak value according to claim 3, it is characterized in that: described sliding window peak detection block adopts cycle reset mechanism, namely the sliding window peak detection block utilizes frame head as handshake, all the time the initial time that detects as peak value with frame head, each frame head arrives, the sliding window peak detection block periodically automatically resets, and again begins to detect maximum from frame head.
5, the despicking method that detects based on the sliding window peak value according to claim 3, it is characterized in that: the passage of a plurality of CPG in described CPG distribution and the Multiplexing module adopts multiplexing mechanism, CPG distribution and Multiplexing module carry out multiplexing according to the multiple of clock and intermediate frequency data sample rate to a plurality of CPG passages.
6, the despicking method that detects based on the sliding window peak value according to claim 3, it is characterized in that: described detection threshold and peak clipping thresholding adopt gradient that mechanism is set, detection threshold value is set a little more than the peak clipping threshold value, for not processed a little more than the peak value of peak clipping threshold value.
7, the despicking method that detects based on the sliding window peak value according to claim 3, it is characterized in that: sliding window length adopts adjustable mechanism, utilizes the sliding window peak detection block to detect the interior maximum of sliding window length.
8, the despicking method that detects based on the sliding window peak value according to claim 3 is characterized in that: peak clipping coefficient namely filter coefficient adopts immediate updating mechanism.
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