Robust novel EM-based direction-of-arrival estimation technique for wideband source signals

Document Type

Conference Proceeding

Publication Date

7-1-2010

Abstract

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. © 2010 IEEE.

Publication Source (Journal or Book title)

2010 WRI International Conference on Communications and Mobile Computing, CMC 2010

First Page

72

Last Page

76

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