Acoustic vector-sensor array processing

A method is presented for localizing acoustic sources using an array of sensors, the output of each being a vector consisting of the acoustic pressure and acoustic particle velocity. The authors derive a compact expression for the Cramer-Rao bound (CRB) on the estimation errors of the source directi...

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Bibliographic Details
Published in:IEEE transactions on signal processing Vol. 42; no. 9; pp. 2481 - 2491
Main Authors: Nehorai, A., Paldi, E.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.09.1994
Institute of Electrical and Electronics Engineers
Subjects:
Acoustic arrays
Acoustic sensors
Applied sciences
Array signal processing
Direction of arrival estimation
Distortion measurement
Electromagnetic measurements
Estimation error
Exact sciences and technology
Performance analysis
Radiolocalization and radionavigation
Sensor arrays
Telecommunications
Telecommunications and information theory
Estimation error
Acoustic signal
Arrival angle
Radiolocalisation
Sensor array
Mean square error
Cramer Rao inequality
ISSN:1053-587X
Online Access:Get full text
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Summary:A method is presented for localizing acoustic sources using an array of sensors, the output of each being a vector consisting of the acoustic pressure and acoustic particle velocity. The authors derive a compact expression for the Cramer-Rao bound (CRB) on the estimation errors of the source direction-of-arrival (DOA) parameters in the multi-source multi-vector-sensor model. An explicit expression is found for the mean-square angular error (MSAE) bound for source localization with a single vector sensor. The authors present two simple algorithms for estimating the source DOA with this sensor, along with their statistical performance analyses.< >
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ISSN:1053-587X
DOI:10.1109/78.317869