CN109089004A - A kind of collection person's adaptive echo cancellation method based on joint entropy induction - Google Patents

A kind of collection person's adaptive echo cancellation method based on joint entropy induction Download PDF

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CN109089004A
CN109089004A CN201810922649.7A CN201810922649A CN109089004A CN 109089004 A CN109089004 A CN 109089004A CN 201810922649 A CN201810922649 A CN 201810922649A CN 109089004 A CN109089004 A CN 109089004A
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CN109089004B (en
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赵海全
刘冰
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Southwest Jiaotong University
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M9/00Arrangements for interconnection not involving centralised switching
    • H04M9/08Two-way loud-speaking telephone systems with means for conditioning the signal, e.g. for suppressing echoes for one or both directions of traffic
    • H04M9/082Two-way loud-speaking telephone systems with means for conditioning the signal, e.g. for suppressing echoes for one or both directions of traffic using echo cancellers

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  • Signal Processing (AREA)
  • Filters That Use Time-Delay Elements (AREA)
  • Cable Transmission Systems, Equalization Of Radio And Reduction Of Echo (AREA)

Abstract

A kind of adaptive echo cancellation method of the collection person based on joint entropy, its step are as follows: A, remote signaling acquires, the remote signaling distally transmitted is sampled, the discrete value x (n) of the remote end input signal of current time n can be obtained, its filter input signal vector is x (n)=[x (n), x (n-1) ..., x (n-L+1)]T;B, echo signal is estimated, the input signal vector x (n) of current time n is passed through sef-adapting filter, output valve y (n) the i.e. estimated value of echo signal;C, echo cancellor, the near end signal d (n) that the current time n with echo is obtained with proximal end microphone samples subtract the estimated value y (n) of echo signal;D, filter tap weight coefficient updates, and calculates the tap weights vector w (n+1) of filter subsequent time n+1, w (n+1)=w (n)+μ (n) U (n) (UT(n)U(n))‑1E(n)-C(n);E, it enables n=n+1, repeats above-mentioned A, B, C, the process of D, E to end of conversation.This method can obtain faster convergence rate and low steady-state error, and echo cancellor effect is good.

Description

A kind of collection person's adaptive echo cancellation method based on joint entropy induction
Technical field
The invention belongs to the echo cancellation technology fields of communication system.
Technical background
Branch of the Adaptive Signal Processing technology as information processing developed in recent years very rapidly, in the communications field It has a wide range of applications.Echoing in communication system refers to that sound or signal are reflected back toward signal by delay or deformation Source.Since echoing can seriously affect the speech quality of people, how eliminate to echo becomes people's concern Emphasis.Communication echo can adaptively be eliminated by System identification model: institute's identification system is echo channel, system The output of identification is the estimation of echo signal, and being subtracted each other by the estimation of voice signal and echo signal containing echo signal can be real The elimination of existing echo.Adaptive echo technology for eliminating has at low cost, fast convergence rate, the small advantage of echo residual error, so obtaining The concern of many researchers has been arrived, while being also considered as most promising echo cancellation technology in the communications field.
Echo channel all has sparse characteristic, i.e. most of coefficient of channel (system) close to zero or is equal to zero, only There are a few coefficients that there is biggish amplitude.In this case, traditional adaptive algorithm is unable to reach satisfied effect.
Document 1 " Set-membership affine projection algorithm " (Werner, S., and Diniz,P.S.R.,IEEE Signal Process.Lett.,2001,8,(8),pp.231–235Electronics Letters 52.17 (2016): 1461-1463.) collection person's theory is combined with affine projection method, it is affine puts forward collection person Projection algorithm.Set-membership filtering is the algorithm of a kind of recursive estimation step-length based on error, seeks to generate bounded filtering output error Set of steps, improve the intrinsic contradictions between the convergence rate and steady-state error of fixed step size adaptive algorithm, it is ensured that filter Wave device has faster convergence rate and lower steady-state error.But when system is sparse echo channel, system current time n Tap weights vector w (n) in be in the great majority close to zero or be zero item made tap weights vector more by the interference of ambient noise The variation of new value w (n+1) is excessive, causes its steady-state error bigger than normal, and echo cancellor effect is to be improved.
Summary of the invention
The object of the present invention is to provide the adaptive echo cancellation method of collection person based on joint entropy induction a kind of, this method Steady-state error it is small, fast convergence rate, echo cancellor effect is good.
The technical scheme adopted by the invention for realizing the object of the invention is, a kind of collection person's based on joint entropy induction is adaptive Echo cancel method is answered, the steps include:
A, remote signaling acquires
The signal distally transmitted is sampled, the discrete value x (n) of the remote end input signal of current time n is obtained;It will work as The discrete value x (n), x (n-1) ..., x (n-L+1) of preceding moment n and the before input signal at L-1 moment form adaptive filter The input vector x (n) of the current time n of wave device, x (n)=[x (n), x (n-1) ..., x (n-L+1)]T, wherein T represents transposition Operation, L=512 represent filter tap number;
B, echo signal is estimated
By the input signal vector x (n) of current time n by sef-adapting filter, the current of sef-adapting filter is obtained The output valve of moment n, i.e. the estimated value y (n) of echo signal
Y (n)=xT(n)w(n)
Wherein w (n) is the tap weights vector of the current time n of sef-adapting filter, w (n)=[w1(n),w2(n),..., wL-1(n)]T, the initial value of w (n) is null vector;
C, echo cancellor
The near end signal d (n) that proximal end microphone samples are obtained with the current time n with echo, is subtracted echo signal Estimated value y (n), obtain the error signal e (n) of current time n, then send back to distal end, e (n)=d (n)-y (n);
D, filter tap weight vector updates
D1, input signal affine projection matrix is calculated
When the input vector x (n) of current time n and preceding P-1 moment, x (n-1) ..., x (n-P+1) are constituted current Carve the input signal affine projection matrix U (n) of n, U (n)=[x (n), x (n-1) ..., x (n-P+1)];Wherein P is indicated affine Projection order, value range are 2~9;
D2, error signal vector
By the error signal e (n) of current time n and preceding P-1 moment, when e (n-1) ..., e (n-P+1) constitute current It carves n error signal vector E (n), E (n)=[e (n), e (n-1) ..., e (n-P+1)]T
D3, the material calculation factor
The step factor μ (n) of current time n is calculated by following formula:
Wherein γ indicates that error threshold parameter, value range are 0.0001~1;
D4, joint entropy inducible factor is calculated
By the tap weights vector w (n) of the current time n of sef-adapting filter, the related entropy factor of current time n is calculated C (n):
Wherein ρ is control factor, value range 10-8~1;σ is core width, and value range is 0.001~2;exp(·) Indicate exponent arithmetic.
D5, filter tap weight vector update
The filter tap weight vector w (n+1) of subsequent time n+1 is obtained by following formula:
W (n+1)=w (n)+μ (n) U (n) (UT(n)U(n))-1E(n)-C(n)
E, n=n+1 is enabled, the process of above-mentioned A, B, C, D are repeated, until end of conversation.
Compared with prior art, the beneficial effects of the present invention are:
Joint entropy inducible factor C (n) is added in filter tap weight vector more new formula,
As subduction item (step-length adjustment item).When for the echo of Sparse System When channel, in the tap weights vector w (n) of system current time n close to zero or be zero item be usually in the great majority, lured by joint entropy Inducement subexpression can be seen that when w (n) is closer to zero, and the joint entropy inducible factor for reducing item is bigger, with existing addition term After (size term) offsets adjustment, tap weights vector updated value w (n+1) closer zero;Realize close to zero or be zero tap weights to The appropriate small step-length of amount updates, so as to effectively reduce the influence that ambient noise updates tap weights vector, steady-state error Small, echo cancellor effect is good;On the contrary, nonzero term present in the tap weights vector w (n) of current time n, the phase as subduction item The value for closing entropy inducible factor is small, small to the counteracting of addition term (size term), can make full use of current time non-zero tap weight vector w (n) useful information in realizes the quick update tap weights vector updated value w (n+1) of big step-length;Accelerate convergence rate, and subtracts Steady-state error is lacked.
The present invention is described in further detail with reference to the accompanying drawings and detailed description.
Detailed description of the invention
Fig. 1 is the normalization steady output rate curve that the emulation experiment of document 1 and the method for the present invention obtains.
Specific embodiment:
Embodiment
A kind of specific embodiment of the invention is a kind of adaptive echo elimination side of the collection person based on joint entropy induction Method the steps include:
A, remote signaling acquires
The signal distally transmitted is sampled, the discrete value x (n) of the remote end input signal of current time n is obtained;It will work as The discrete value x (n), x (n-1) ..., x (n-L+1) of preceding moment n and the before input signal at L-1 moment form adaptive filter The input vector of the current time n of wave device, x (n), x (n)=[x (n), x (n-1) ..., x (n-L+1)]T, wherein T, which is represented, turns Operation is set, L=512 represents filter tap number;
B, echo signal is estimated
By the input signal vector x (n) of current time n by sef-adapting filter, the current of sef-adapting filter is obtained The output valve of moment n, i.e. the estimated value y (n) of echo signal
Y (n)=xT(n)w(n)
Wherein w (n) is the tap weights vector of the current time n of sef-adapting filter, w (n)=[w1(n),w2(n),..., wL-1(n)]T, the initial value of w (n) is null vector;
C, echo cancellor
The near end signal d (n) that proximal end microphone samples are obtained with the current time n with echo, is subtracted echo signal Estimated value y (n), obtain the error signal e (n) of current time n, then send back to distal end, e (n)=d (n)-y (n);
D, filter tap weight vector updates
D1, input signal affine projection matrix is calculated
When the input vector x (n) of current time n and preceding P-1 moment, x (n-1) ..., x (n-P+1) are constituted current Carve the input signal affine projection matrix U (n) of n, U (n)=[x (n), x (n-1) ..., x (n-P+1)];Wherein P is indicated affine Projection order, value range are 2~9;
D2, error signal vector
By the error signal e (n) of current time n and preceding P-1 moment, when e (n-1) ..., e (n-P+1) constitute current It carves n error signal vector E (n), E (n)=[e (n), e (n-1) ..., e (n-P+1)]T
D3, the material calculation factor
The step factor μ (n) of current time n is calculated by following formula:
Wherein γ indicates that error threshold parameter, value range are 0.0001~1;
D4, joint entropy inducible factor is calculated
By the tap weights vector w (n) of the current time n of sef-adapting filter, the related entropy factor of current time n is calculated C (n):
Wherein ρ is control factor, value range 10-8~1;σ is core width, and value range is 0.001~2;exp(·) Indicate exponent arithmetic.
D5, filter tap weight vector update
The filter tap weight vector w (n+1) of subsequent time n+1 is obtained by following formula:
W (n+1)=w (n)+μ (n) U (n) (UT(n)U(n))-1E(n)-C(n)
E, n=n+1 is enabled, the process of above-mentioned A, B, C, D are repeated, until end of conversation.
Emulation experiment:
In order to verify effectiveness of the invention, emulation experiment is carried out, and the method for bibliography and the present invention are carried out Comparison.
The remote signaling x (n) of emulation experiment is colourful signal, it is that white Gaussian noise passes through first-order autoregression process T (z) =1/ (1-0.95z-1) generate, sample frequency 8000Hz, sampling number 5000.Echo channel impulse response is in width 3.75m, high 2.5m, long 6.25m, 20 DEG C of temperature, the quiet closed room of humidity 50% is interior to be obtained, and impulse response length filters Device tap number L=32.The ambient noise of experiment is white Gaussian noise v (n), signal-to-noise ratio 30dB.
Above-mentioned remote signaling and corresponding near end signal are subjected to echo with the method in method and document 1 of the invention It eliminates.The optimized parameter value of two methods such as table 1.
The two methods of the optimized parameter approximation value of experiment of table 1
Document 1 γ=0.07, P=4
The present invention γ=0.07, P=4, σ=0.35, ρ=6 × 10-6
Emulation experiment obtains simulation result by independent operating 50 times.Fig. 1 is the method for document 1 and returning for the method for the present invention One changes steady output rate curve graph.
As can be seen from Figure 1 in Sparse System, the steady-state error of document 1 is about stable in -58dB, and side of the present invention The steady-state error of method is about stable in -66dB;Illustrate that the steady-state error of the method for the present invention is lower, there is better echo cancellor to imitate Fruit.

Claims (1)

1. a kind of adaptive echo cancellation method of the collection person based on joint entropy induction, the steps include:
A, remote signaling acquires
The signal distally transmitted is sampled, the discrete value x (n) of the remote end input signal of current time n is obtained;When will be current N and before the discrete value x (n), x (n-1) ..., x (n-L+1) of the input signal at L-1 moment are carved, sef-adapting filter is formed Current time n input vector x (n), x (n)=[x (n), x (n-1) ..., x (n-L+1)]T, wherein T represents transposition fortune It calculates, L=512 represents filter tap number;
B, echo signal is estimated
By the input signal vector x (n) of current time n by sef-adapting filter, the current time n of sef-adapting filter is obtained Output valve, i.e. the estimated value y (n) of echo signal
Y (n)=xT(n)w(n)
Wherein w (n) is the tap weights vector of the current time n of sef-adapting filter, w (n)=[w1(n),w2(n),...,wL-1 (n)]T, the initial value of w (n) is null vector;
C, echo cancellor
The near end signal d (n) that proximal end microphone samples are obtained with the current time n with echo, is subtracted estimating for echo signal Evaluation y (n) obtains the error signal e (n) of current time n, then sends back to distal end, e (n)=d (n)-y (n);
D, filter tap weight vector updates
D1, input signal affine projection matrix is calculated
The input vector x (n) of current time n and preceding P-1 moment, x (n-1) ..., x (n-P+1) are constituted current time n's Input signal affine projection matrix U (n), U (n)=[x (n), x (n-1) ..., x (n-P+1)];Wherein P indicates affine projection rank Number, value range are 2~9;
D2, error signal vector
By the error signal e (n) of current time n and preceding P-1 moment, e (n-1) ..., e (n-P+1) constitute current time n and miss Difference signal vector E (n), E (n)=[e (n), e (n-1) ..., e (n-P+1)]T
D3, the material calculation factor
The step factor μ (n) of current time n is calculated by following formula:
Wherein γ indicates that error threshold parameter, value range are 0.0001~1;
D4, joint entropy inducible factor is calculated
By the tap weights vector w (n) of the current time n of sef-adapting filter, the related entropy factor C of current time n is calculated (n):
Wherein ρ is control factor, value range 10-8~1;σ is core width, and range is 0.001~2;Exp () indicates index Operation;
D5, filter tap weight vector update
The filter tap weight vector w (n+1) of subsequent time n+1 is obtained by following formula:
W (n+1)=w (n)+μ (n) U (n) (UT(n)U(n))-1E(n)-C(n)
E, n=n+1 is enabled, the process of above-mentioned A, B, C, D are repeated, until end of conversation.
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