A Novel Double Talk Echo Canceller Algorithm Using Multi Delay Filter

Hamzé Haidar Alaeddine(1*), Ali Beydoun(2), Bilal Beydoun(3), Fadi Khalil(4), Ali Rachini(5)

(1) Department of Physics and Electronics, Faculty of Sciences 1, Lebanese University, Hadath, Beirut, Lebanon
(2) Department of Physics and Electronics, Faculty of Sciences 1, Lebanese University, Hadath, Beirut, Lebanon
(3) Department of Physics and Electronics, Faculty of Sciences 1, Lebanese University, Hadath, Beirut, Lebanon
(4) Department of Physics and Electronics, Faculty of Sciences 1, Lebanese University, Hadath, Beirut, Lebanon
(5) Department of Physics and Electronics, Faculty of Sciences 1, Lebanese University, Hadath, Beirut, Lebanon
(*) Corresponding author


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Abstract


Echo is a major problem in voice communication system. Several methods have been proposed to overcome this problem. Recently, a fast converging algorithm called Block Robust Proportionate Normalized Least Mean Squares (BRPNLMS++) against double-talk has been proposed. This paper presents a novel algorithm called (MDF-BRPNLMS++) based on the BRPNLMS++and the Multi-Delay Filter (MDF) algorithms. The proposed method allows reducing considerably the execution time, due to the use of the MDF, and reaching faster convergence by estimating the update step-size at each block iteration. In addition, the proposed method does not require a Double- Talk Detector (DTD) which contributes in reducing the required computational power. Simulation results have been performed using Matlab and prove a good agreement with the theoretical results.
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Keywords


Adaptive Filters; Echo Canceller; Block Robust Proportionate Normalized Least Mean Squares (BRPNLMS++); Multi-Delay Filter

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References


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