抗麦克风阵列DOA不匹配的CRLS-GSC降噪算法

P. Mahale
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引用次数: 2

摘要

本文利用广义旁瓣对消(GSC)结构中的一组导数约束,将约束递推最小二乘-广义旁瓣对消(CRLS-GSC)算法应用于降噪。通过计算机仿真发现,CRLSGSC算法对到达方向(DOA)失配问题的敏感性较低,而这种失配问题往往会降低常用GSC算法的降噪性能。在对不同噪声场景的鲁棒性方面,该算法也比以往的多通道维纳滤波(MWF)、GSC和带噪声灵敏度约束的GSC (GSC- nsc)算法表现出更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CRLS-GSC Noise Reduction Algorithm Robust to DOA Mismatch Problem in Microphone Arrays
In this paper, using a group of derivative constraints in the generalized sidelobe canceller (GSC) structure, the constraint recursive least squares-generalized side-lobe canceller (CRLS-GSC) algorithm is introduced for noise reduction application. Through computer simulations, it is observed that the proposed CRLSGSC algorithm is less sensitive to direction of arrival (DOA) mismatch problem, which often degrades the noise reduction performance in the commonly-used GSC algorithm. It also presents a better performance with respect to the previous algorithms including multi-channel Wiener filtering (MWF), GSC, and GSC with noise sensitivity constraint (GSC-NSC) in terms of robustness to different noise scenarios.
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