Direction of Arrival Estimation Based on a Tensor Approach

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volumes 530-531)
• Pages: 581-585
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.530-531.581
• Online since: February 2014
• Authors: Jin Fang Cheng, Fu Qian*, Nan Li
• Keywords: Higher Order Singular Value Decomposition, Subspace Projection, Synthetic Spatial Spectrum

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