Adaptive echo cancellation method adopting memory proportionate affine projection and based on M-estimation

Abstract

The invention discloses an adaptive echo cancellation method adopting memory proportionate affine projection and based on M-estimation. The adaptive echo cancellation method comprises the following steps: A, a remote signal is sampled; B, in echo estimation, a filter input vector X(n) passes through an adaptive filter and an output value y(n), namely an echo estimation value y(n), is obtained and equal to XT(n)w(n); C, in echo cancellation, a near-end signal d(n) with the echo, acquired by a near-end microphone and the output value y(n) of the adaptive filter are subjected to subtraction operation, and a return signal, namely a residual signal e(n), is returned to a far end and equal to d(n)-y(n); D, in updating of a tap weight vector of the filter, the method adopting memory proportionate affine projection and based on M-estimation is used and the tap weight vector w(n+1) of the adaptive filter at next moment n+1 is calculated and equal to w(n)+mu P(n)(UT(n)P(n)+delta IK)-1 psi [E(n)]; E, n is set to be n+1, and the steps B, C and D are repeated until a call is ended. The method has a good cancellation effect on an acoustic echo of a communication system and is high in convergence speed and small in steady-state error.

Description

technical field [0001] The invention relates to an adaptive echo cancellation method, which belongs to the technical field of communication echo cancellation. Background technique [0002] In a voice-based communication system (such as a hands-free phone, a video conference system, etc.), the voice quality is usually affected by the echo, mainly the acoustic echo, which seriously affects the call quality. Echo is a phenomenon in which sound or signal is reflected back to the signal source after delay or deformation. In communication systems such as voice communication, data communication, satellite communication, hands-free phone, and teleconferencing system, echo phenomenon exists to varying degrees. . Take video conference as an example, because the speaker and the microphone are placed in the same space, the far-end voice from the local speaker is received by the local near-end microphone and transmitted back to the far-end, causing the far-end speaker to hear his own vo...

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Problems solved by technology

However, since the sign algorithm converts the entire residual signal into a single positive and negative signal, which reduces the amount of information in the residual signal, the convergence speed of the algorithm is slow

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