Direction of Arrival Estimation Based on a Tensor Approach

In this letter, we put forward a novel tensor-based Multiple Signal Classification (TB-MUSIC) applicable to a vector hydrophone array. For this purpose, the signal subspace is derived from the higher order singular value decomposition (HOSVD) of the third order tensor of the output model. Then the p...

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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 530-531; no. Advances in Measurements and Information Technologies; pp. 581 - 585
Main Authors Qian, Fu, Li, Nan, Cheng, Jin Fang
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.02.2014
Subjects
Arrays
Hydrophones
Mathematical analysis
Robustness
Signal classification
Subspaces
Tensors
Vectors (mathematics)
Higher Order Singular Value Decomposition
Subspace Projection
Synthetic Spatial Spectrum
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Summary:In this letter, we put forward a novel tensor-based Multiple Signal Classification (TB-MUSIC) applicable to a vector hydrophone array. For this purpose, the signal subspace is derived from the higher order singular value decomposition (HOSVD) of the third order tensor of the output model. Then the proposed method is achieved by signal subspace projection weighted with the reciprocal of principal singular values multiplying by the spatial spectrum based on TB-MUSIC. The synthetic spatial spectrum shows higher resolution and robustness under no-ideal scenarios. Monte Carlo experimental results are provided to illustrate the better performance of the proposed method.
Bibliography:Selected, peer reviewed papers from the 2014 International Conference on Sensors, Instrument and Information Technology (ICSIIT 2014), January 18-19, 2014, Guangzhou, China
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISBN:3038350397
9783038350392
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.530-531.581