Doubly weighted MUSIC algorithm for broadband DOA estimation using microphone arrays
Jingran Lin, Qicong Peng, Huaizong Shao · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2005
The performance of MUSIC (multiple signal classification) algorithm degrades substantially in practice due to array perturbations or the low SNR (signal-to-noise ratio). In this paper, we present a doubly weighted MUSIC algorithm that provides improved robustness for broadband DOA (direction-of-arrival) estimation using microphone arrays. Firstly, a weight matrix, imposed on the noise subspace of the spatial covariance matrix, is used in estimating DOA at each frequency bin. Secondly, another weight vector, based on the SNR at each bin, is imposed on the original estimates to calculate the final broadband DOA. The former decreases the standard deviation of the narrowband DOA estimation at each bin, which is caused by array perturbations, and the latter weakens the negative effect of those estimates at the low SNR bins on the final broadband DOA estimation. The two weighting operations together improve robustness of the broadband DOA estimation dramatically. Numerical examples show the effectiveness of the proposed method.