Self-adapting echo cancellation method

Abstract

The invention discloses an adaptive echo cancellation method. The method introduces the viewpoint of evolutionary computation in the artificial intelligence, simultaneously employs the cross alternative method and the idea of the function global optimization and combines the idea of time driving, so as to effectively solve the problem that the constant Delta value of the parameter of the conventional NLMS algorithm can not be determined, thus improving the performance of the echo cancellation algorithm NLMS.

Description

technical field [0001] The invention relates to the echo elimination technology of mobile communication, in particular to the mobile communication terminal adopting improved NLMS (Normalized Least Mean Square) algorithm to eliminate echo. Background technique [0002] The theory of echo cancellation was first proposed by Bell Laboratories in the early 1960s, followed by a division of the laboratory that introduced the first echo cancellation system in the late 1960s. By the late 1970s, the first commercial analog echo cancellers were developed, which consisted primarily of digital devices with an analog interface to the network. The development of semiconductor technology in the 1980s marked the transition from analog to digital for communication networks. More complex digitally interfaced, multi-channel echo canceller systems were developed to solve the new echo problems associated with long-distance digital telephone systems. This is done by modeling the echo using high-...

AI Technical Summary

Problems solved by technology

However, the computational complexity of this algorithm is high

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