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

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 instea...

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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 530-531; no. Advances in Measurements and Information Technologies; pp. 530 - 533
Main Authors Zhang, Chao Ran, Zhang, Wei, Cheng, Jin Fang
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.02.2014
Subjects
Algorithms
Coherence
Computer simulation
Correlation
Hydrophones
Mathematical analysis
Spatial smoothing
Vectors (mathematics)
Objective Distinguish
Single Vector Hydrophone
Coherent Sources
Spatio-Temporal Correlation Matrices
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Summary: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.
Bibliography:Selected, peer reviewed papers from the 2014 International Conference on Sensors, Instrument and Information Technology (ICSIIT 2014), January 18-19, 2014, Guangzhou, China
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ISBN:3038350397
9783038350392
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.530-531.530