A set-member adaptive echo cancellation method based on correlation entropy induction

Abstract

An adaptive echo cancellation method based on correlation entropy is disclosed. The method comprises the following steps: A, collecting far-end signals, sampling far-end signals transmitted from far-end to obtain the discrete value x (n) of far-end input signals at the current time n, and the filter input signal vector is x (n) = [x (n), x (n-1),..., x (n-L+1)] T; B, sampling far-end signals transmitted from far-end to obtain the discrete value x (n) of far-end input signals at the current time n. B, estimate an echo signal, passing an input signal vector x (n) of that current time n through an adaptive filt, and outputting a value y (n) thereof, that is, an estimated value of the echo signal; C, canceling the echo, sampling with a near-end microphone to obtain the near-end signal d (n) ofthe current time n of the echo return, subtracting the estimated value y (n) of the echo signal; D, updating the tap weight coefficients of the filter, and calculating a tap weight vector w (n+1), w(n+1) = w (n) + Mu(n) U (n) (UT (n) U (n)) of n+1 at the next time of the filter; 1E(n)-C (n); E, let n=n+1, repeating the process of A, B, C, D, E until the end of the call. This method can obtain faster convergence rate and lower steady-state error, and the echo cancellation effect is good.

Description

technical field [0001] The invention belongs to the technical field of echo cancellation in communication systems. technical background [0002] As a branch of information processing, adaptive signal processing technology has developed rapidly in recent years and has been widely used in the field of communication. The echo phenomenon in communication systems refers to the sound or signal being reflected back to the signal source after delay or deformation. Since the echo phenomenon will seriously affect people's call quality, how to eliminate the echo has become a focus of attention. The communication echo can be adaptively eliminated through the system identification model: the identified system is an echo channel, and the output of the system identification is the estimate of the echo signal, and the echo can be eliminated by subtracting the voice signal containing the echo signal from the estimate of the echo signal . Adaptive echo cancellation technology has the advan...

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Problems solved by technology

However, when the system is a sparse echo channel, most of the tap weight vector w(n) of the system at the current moment n is close to zero or zero, and is disturbed by background noise, so that the tap weight vector update value w(n+1 ) changes too much, resulting in a large steady-state error, and the effect of echo cancellation needs to be improved

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