Title :
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
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;
Conference_Titel :
Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
Print_ISBN :
0-7803-8834-8
DOI :
10.1109/ISCAS.2005.1465199
