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Robust Novel EM-Based Direction-of-Arrival Estimation Technique for Wideband Source Signals

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3 Author(s)
Lu Lu ; Louisiana State Univ., Baton Rouge, LA, USA ; Hsiao-Chun Wu ; Scott C. -H. Huang

Direction-of-arrival (DOA) estimation for wideband source signals using near-field acoustic sensor networks has been drawing a lot of research interest recently. A wide variety of DOA estimation approaches are based on the predominant maximum-likelihood objective. In this paper, we would like to tackle with the DOA estimation problem based on the realistic assumption where the sources are corrupted by spatially non-white noises. We explore the respective limitations of two popular DOA methods for solving this problem, namely the SC-ML and AC-ML algorithms, and design a new expectation maximization (EM) algorithm. Through Monte Carlo simulations, it is demonstrated that our proposed EM algorithm outperforms the SC-ML and AC-ML methods in terms of the DOA accuracy.

Published in:

Communications and Mobile Computing (CMC), 2010 International Conference on  (Volume:3 )

Date of Conference:

12-14 April 2010