USTC-MUSIC Algorithm for DOA Estimation of Coherent Sources Using Single Vector Hydrophone

Jin Fang Cheng; Chao Ran Zhang; Wei Zhang

doi:10.4028/www.scientific.net/AMM.530-531.530

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 530-531USTC-MUSIC Algorithm for DOA Estimation of...

USTC-MUSIC Algorithm for DOA Estimation of Coherent Sources Using Single Vector Hydrophone

Abstract:

The MUSIC algorithm cannot deal with the problem of DOA estimation of coherent sources, this paper proposes the USTC (unitary spatio-temporal correlation matrices)-MUSIC algorithm using single vector hydrophone to solve this problem, by utilizing the unitary spatio-temporal correlation matrix instead of the covariance matrix. The simulation results demonstrate that the USTC-MUSIC algorithm has a better ability to distinguish the coherent sources from different directions than the spatial smoothing MUSIC algorithm.

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Periodical:

Applied Mechanics and Materials (Volumes 530-531)

Pages:

530-533

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.530-531.530

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Online since:

February 2014

Authors:

Jin Fang Cheng, Chao Ran Zhang*, Wei Zhang

Keywords:

Coherent Sources, Objective Distinguish, Single Vector Hydrophone, Spatio-Temporal Correlation Matrices

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* - Corresponding Author

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