Hybrid sensor network and fusion algorithm for sound source localization

Author

Masson, F. ; Puschini, D. ; Julian, P. ; Crocce, P. ; Arlenghi, L. ; Mandolesi, P.S. ; Andreou, A.G.

Author_Institution

Dep. de Ing. Electrica y Computadoras, Univ. Nacional del Sur, Bahia Blanca, Argentina

fYear

2005

fDate

23-26 May 2005

Firstpage

2763

Abstract

In this paper, we present a network composed of two-different types of nodes for the task of sound source localization. One of the nodes is a low-power A-scale (dbA) logarithmic sound pressure level sensing (SPLS) unit, and the other is a bearing estimator sensing (BES) unit based on a cross-correlation approach. The sensor boards are mounted on MICADOT nodes, therefore, they are wireless connected. An information fusion algorithm collects the information provided by five SPLS units and one BES unit and provides an estimation of the location of the target. Field results collected from the experiment are shown.

Keywords

array signal processing; audio signal processing; correlation methods; direction-of-arrival estimation; microphone arrays; position measurement; pressure measurement; sensor fusion; wireless sensor networks; bearing estimator sensing unit; cross-correlation method; hybrid sensor network; information fusion algorithm; low-power A-scale logarithmic sound pressure level sensing unit; sensor fusion algorithm; sound source localization; target location estimation; wireless sensor nodes; Acoustic sensors; Costs; Electrets; Energy consumption; Microphones; Nonlinear filters; Preamplifiers; Sensor fusion; Target tracking; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on

Print_ISBN

0-7803-8834-8

Type

conf

DOI

10.1109/ISCAS.2005.1465199

Filename

1465199