Acoustic Vector-Sensor Array Processing

Arye Nehorai; Eytan Paldi

doi:10.1109/78.317869

Acoustic Vector-Sensor Array Processing

Arye Nehorai
, Eytan Paldi

Research output: Contribution to journal › Article › peer-review

711 Scopus citations

Abstract

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. We derive a compact expression for the Cramér-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. We present two simple algorithms for estimating the source DOA with this sensor, along with their statistical performance analyses.

Original language	English
Pages (from-to)	2481-2491
Number of pages	11
Journal	IEEE Transactions on Signal Processing
Volume	42
Issue number	9
DOIs	https://doi.org/10.1109/78.317869
State	Published - Sep 1994

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@article{4fc08b517200473889fa39fc587251c0,

title = "Acoustic Vector-Sensor Array Processing",

abstract = "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. We derive a compact expression for the Cram{\'e}r-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. We present two simple algorithms for estimating the source DOA with this sensor, along with their statistical performance analyses.",

author = "Arye Nehorai and Eytan Paldi",

note = "Funding Information: Manuscript received November 21, 1992; revised February 1, 1994. This work was supported by the Air Force Office of Scientific R4,search under Grant no. AFOSR-90-0164, the National Science Foundation under Grant no. MIP-9122753, and the Office of Naval Research under Grant no. N00014-91-J-1298. The associate editor coordinating the review of tliis paper and approving it for publication was Prof. Daniel Fuhrmann.",

year = "1994",

month = sep,

doi = "10.1109/78.317869",

language = "English",

volume = "42",

pages = "2481--2491",

journal = "IEEE Transactions on Signal Processing",

issn = "1053-587X",

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TY - JOUR

T1 - Acoustic Vector-Sensor Array Processing

AU - Nehorai, Arye

AU - Paldi, Eytan

N1 - Funding Information: Manuscript received November 21, 1992; revised February 1, 1994. This work was supported by the Air Force Office of Scientific R4,search under Grant no. AFOSR-90-0164, the National Science Foundation under Grant no. MIP-9122753, and the Office of Naval Research under Grant no. N00014-91-J-1298. The associate editor coordinating the review of tliis paper and approving it for publication was Prof. Daniel Fuhrmann.

PY - 1994/9

Y1 - 1994/9

N2 - 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. We derive a compact expression for the Cramér-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. We present two simple algorithms for estimating the source DOA with this sensor, along with their statistical performance analyses.

AB - 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. We derive a compact expression for the Cramér-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. We present two simple algorithms for estimating the source DOA with this sensor, along with their statistical performance analyses.

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U2 - 10.1109/78.317869

DO - 10.1109/78.317869

M3 - Article

AN - SCOPUS:0028496857

SN - 1053-587X

VL - 42

SP - 2481

EP - 2491

JO - IEEE Transactions on Signal Processing

JF - IEEE Transactions on Signal Processing

IS - 9

ER -

Acoustic Vector-Sensor Array Processing

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