Active factor set membership proportional sub band self-adaption echo cancellation method

Abstract

Disclosed is an active factor set membership proportional sub band self-adaption echo cancellation method. The method comprises the steps: A, dividing an adaptive echo cancellation sub band filter input vector X(n) formed by a discrete value of a far-end signal into a sub band signal X(n), B, performing N extraction on an input sub band signal X(n) and a near-end sub band signal d(n) to obtain a signal X(k) after the extraction and a d(k), C, obtaining a filtering value y(k) of the signal X(k) after the extraction via an adaptive echo cancellation sub band filter, D, subtracting a filtering value y(k) from the near-end sub band signal d(k), with an echo, after the extraction and then sending a different value to a far end, E, obtaining a sub band filter step length u(k) through calculation of an active factor f<l>(k) and a proportional matrix G(k) by utilizing a set membership filtering algorithm, and updating a weight coefficient vector W(k), and F, enabling k to meet an expression k=k+1, and repeating A-E steps until an end of a call. The method has the rapid convergence speed and the low steady-state error at one aspect, and has the rapid tracking capability at the other aspect; and the method has the good cancellation effect on an acoustic echo of a communication system.

Description

technical field [0001] The invention relates to an adaptive echo cancellation method for a proportional subband of active factor set members, and belongs to the technical field of echo cancellation for communication. Background technique [0002] In recent years, with the development of communication technology, communication users have higher and higher requirements for call quality. In communication systems, the problem of echo interference is often encountered. In this problem, acoustic echo is the most important factor affecting the quality of voice calls. Therefore, echo cancellation is one of the key technologies to improve call quality. Acoustic echo during communication refers to the user repeatedly hearing his own voice during communication. This phenomenon is caused by sound wave reflections and acoustic coupling between the microphone and speaker. The human ear is very sensitive to it, and the echo with a delay of 10ms can be captured and perceived by the huma...

AI Technical Summary

Problems solved by technology

However, the traditional PNSAF and SM-PNSAF algorithms depend on some preset parameters, which affect the convergence speed of the algorithm.

Therefore, in order to obtain the desired performance parameters, it is necessary to conduct many experiments to select, which has caused certain difficulties for practical applications.

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