SSP'05 -- Proceedings

	IEEE/SP 13th workshop on Statistical Signal Processing July, 17-20, 2005 - Bordeaux - France

Information regarding the paper

Title

Simple and High-Performing DOA Estimation by a Field of Blind Beepers

Author(s)

Stefano Marano	DIIIE, University of Salerno
Vincenzo Matta	DIIIE, University of Salerno
Peter Willett	ECE Dept., University of Connectituc
Lang Tong	ECE Dept., Cornell University

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Abstract

The estimation of the DOA of an acoustic wavefront is considered in the context of the Wireless Sensor Networks (WSNs). An ensemble of simple acoustic antennas, individually with no directional capability, is employed to the estimation aim. The network formed by these antennas (nodes) follows the SENMA paradigm: a mobile rover polls the nodes of the network and implement the estimation task after a certain number of queries of the nodes lying inside its mobile and eccentric field of view. Notwithstanding the DOA-blind character of individual nodes, their aggregation and the directivity of the rover's lobe makes possible inference of the acoustic DOA. The estimation error of the proposed method is close to that of the maximum likelihood (ML) approach, with the remarkable difference that the designed strategy is by far simpler to implement.