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A robust M-estimate adaptive equaliser for impulse noise suppression

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3 Author(s)
Zou Yuexian ; Dept. of Electr. & Electron. Eng., Univ. of Hong Kong, Hong Kong ; Chan Shing-Chow ; Ng Tung-Sung

In this paper, a FIR adaptive equaliser for impulse noise suppression is proposed. It is based on the minimization of an M-estimate objective function which has the ability to ignore or down-weight a large error signal when it exceeds certain thresholds. An advantage of the proposed method is that its solution is governed by a system of linear equations, called the M-estimate normal equation. Therefore, traditional fast algorithms like the recursive least squares algorithm can be applied. Using a robust estimation of the thresholds and the recursive least square algorithm, an M-estimate RLS (M-RLS) algorithm is developed. Simulation results show that the proposed algorithm has better convergence performance than the N-RLS and MN-LMS algorithms when the input signal of the equaliser is corrupted by individually or consecutive impulse noises. It also shares the low steady state error of the traditional RLS algorithm

Published in:

Vehicular Technology Conference, 1999 IEEE 49th  (Volume:3 )

Date of Conference:

Jul 1999