Source localization by 2-D root-MUSIC with `scalar triads' of velocity-hydrophones

Kainam Thomas Wong; Michael D. Zoltowski

Source localization by 2-D root-MUSIC with `scalar triads' of velocity-hydrophones

Kainam Thomas Wong
, Michael D. Zoltowski

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

5 Citations (Scopus)

Abstract

This paper introduces a new and computationally efficient direction finding (DF) algorithm that (1) exploits the velocity vector-field information of impinging wave front (vs. the scalar wavefield model using only pressure-hydrophones), (2) estimates both elevation angles and azimuth angles, (3) requires rooting only two polynomials and no costly iterative searches. This paper successfully adopts the Root-MUSIC algorithm to L-shaped arrays of triads of co-located but orthogonally oriented velocity hydrophones. Each velocity hydrophone measures one Cartesian component of the acoustic velocity vector-wavefield. In one two-signal scenario, this new algorithm increases estimation accuracy by about 3 folds and lowers the resolution threshold by 25 dB SNR relative to a pressure-hydrophone array of comparable hardware and software complexity.

Original language	English
Title of host publication	Midwest Symposium on Circuits and Systems
Publisher	IEEE
Pages	677-680
Number of pages	4
Publication status	Published - 1 Dec 1996
Externally published	Yes
Event	Proceedings of the 1996 IEEE 39th Midwest Symposium on Circuits & Systems. Part 3 (of 3) - Ames, IA, United States Duration: 18 Aug 1996 → 21 Aug 1996

Conference

Conference	Proceedings of the 1996 IEEE 39th Midwest Symposium on Circuits & Systems. Part 3 (of 3)
Country/Territory	United States
City	Ames, IA
Period	18/08/96 → 21/08/96

ASJC Scopus subject areas

Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials

Cite this

@inproceedings{b4710f7ae75e467a9f24211333cfe5b9,

title = "Source localization by 2-D root-MUSIC with `scalar triads' of velocity-hydrophones",

abstract = "This paper introduces a new and computationally efficient direction finding (DF) algorithm that (1) exploits the velocity vector-field information of impinging wave front (vs. the scalar wavefield model using only pressure-hydrophones), (2) estimates both elevation angles and azimuth angles, (3) requires rooting only two polynomials and no costly iterative searches. This paper successfully adopts the Root-MUSIC algorithm to L-shaped arrays of triads of co-located but orthogonally oriented velocity hydrophones. Each velocity hydrophone measures one Cartesian component of the acoustic velocity vector-wavefield. In one two-signal scenario, this new algorithm increases estimation accuracy by about 3 folds and lowers the resolution threshold by 25 dB SNR relative to a pressure-hydrophone array of comparable hardware and software complexity.",

author = "Wong, \{Kainam Thomas\} and Zoltowski, \{Michael D.\}",

year = "1996",

month = dec,

day = "1",

language = "English",

pages = "677--680",

booktitle = "Midwest Symposium on Circuits and Systems",

publisher = "IEEE",

address = "United States",

note = "Proceedings of the 1996 IEEE 39th Midwest Symposium on Circuits \& Systems. Part 3 (of 3) ; Conference date: 18-08-1996 Through 21-08-1996",

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T1 - Source localization by 2-D root-MUSIC with `scalar triads' of velocity-hydrophones

AU - Wong, Kainam Thomas

AU - Zoltowski, Michael D.

PY - 1996/12/1

Y1 - 1996/12/1

N2 - This paper introduces a new and computationally efficient direction finding (DF) algorithm that (1) exploits the velocity vector-field information of impinging wave front (vs. the scalar wavefield model using only pressure-hydrophones), (2) estimates both elevation angles and azimuth angles, (3) requires rooting only two polynomials and no costly iterative searches. This paper successfully adopts the Root-MUSIC algorithm to L-shaped arrays of triads of co-located but orthogonally oriented velocity hydrophones. Each velocity hydrophone measures one Cartesian component of the acoustic velocity vector-wavefield. In one two-signal scenario, this new algorithm increases estimation accuracy by about 3 folds and lowers the resolution threshold by 25 dB SNR relative to a pressure-hydrophone array of comparable hardware and software complexity.

AB - This paper introduces a new and computationally efficient direction finding (DF) algorithm that (1) exploits the velocity vector-field information of impinging wave front (vs. the scalar wavefield model using only pressure-hydrophones), (2) estimates both elevation angles and azimuth angles, (3) requires rooting only two polynomials and no costly iterative searches. This paper successfully adopts the Root-MUSIC algorithm to L-shaped arrays of triads of co-located but orthogonally oriented velocity hydrophones. Each velocity hydrophone measures one Cartesian component of the acoustic velocity vector-wavefield. In one two-signal scenario, this new algorithm increases estimation accuracy by about 3 folds and lowers the resolution threshold by 25 dB SNR relative to a pressure-hydrophone array of comparable hardware and software complexity.

UR - https://www.scopus.com/pages/publications/0030372111

M3 - Conference article published in proceeding or book

SP - 677

EP - 680

BT - Midwest Symposium on Circuits and Systems

PB - IEEE

T2 - Proceedings of the 1996 IEEE 39th Midwest Symposium on Circuits & Systems. Part 3 (of 3)

Y2 - 18 August 1996 through 21 August 1996

ER -

Source localization by 2-D root-MUSIC with `scalar triads' of velocity-hydrophones

Abstract

Conference

ASJC Scopus subject areas

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