INVESTIGADORES
MASSON Favio Roman
congresos y reuniones científicas
Título:
Hybrid Sensor Network And Fusion Algorithm For Sound Source Localization
Autor/es:
FAVIO MASSON; DIEGO PUSCHINI; PEDRO JULIAN; PABLO CROCCE; L. ARLENGHI; PABLO MANDOLESI; ANDREAS ANDREOU
Lugar:
Kobe
Reunión:
Simposio; IEEE International Symposium on Circuits and Systems, 2005. ISCAS 2005.; 2005
Institución organizadora:
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Resumen:
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.