Doubly weighted MUSIC algorithm for broadband DOA estimation using microphone arrays

Jingran Lin; Qicong Peng; Huaizong Shao

doi:10.1117/12.657675

4 January 2006 Doubly weighted MUSIC algorithm for broadband DOA estimation using microphone arrays

Jingran Lin, Qicong Peng, Huaizong Shao

Proceedings Volume 5985, International Conference on Space Information Technology; 59852I (2006) https://doi.org/10.1117/12.657675
Event: International Conference on Space information Technology, 2005, Wuhan, China

Abstract

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.

Citation Download Citation

Jingran Lin, Qicong Peng, and Huaizong Shao "Doubly weighted MUSIC algorithm for broadband DOA estimation using microphone arrays", Proc. SPIE 5985, International Conference on Space Information Technology, 59852I (4 January 2006); https://doi.org/10.1117/12.657675

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KEYWORDS

Signal to noise ratio

Error analysis

Sensors

Communication engineering

Digital signal processing

Monte Carlo methods

Aerospace engineering

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