Study on Vector Hydrophone Array DOA Estimation

Hao Zhou; Wen Lin Huang

doi:10.4028/www.scientific.net/AMM.543-547.2589

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547Study on Vector Hydrophone Array DOA Estimation

Study on Vector Hydrophone Array DOA Estimation

Abstract:

Vector hydrophone is composed of acoustic pressure sensor and particle velocity sensor, which can simultaneously measure acoustic pressure and orthogonal components of particle velocity. MUSIC (Multiple Signal Classification) algorithm is a high resolution spatial spectrum analysis method based on subspace decomposition. This paper introduces the operation principles of this algorithm in detail and investigates the application of MUSIC algorithm to the DOA estimation of acoustic sources by a vector-hydrophone ULA (Uniform Linear Array) output model. Simulation results indicate that the resolution capability of MUSIC algorithm under larger SNRs is excellent.

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Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

2589-2593

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.2589

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Online since:

March 2014

Authors:

Hao Zhou*, Wen Lin Huang

Keywords:

DOA Estimation, Music Algorithm, Vector Hydrophone Array

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