Unitary coherent strategy for spatial sparsity‐based DOA estimation of wideband signals | Zendy

Kahaei Mohammad Hossein | Zendy; Atashbar Mahmoud | Zendy

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Unitary coherent strategy for spatial sparsity‐based DOA estimation of wideband signals

Author(s) -

Kahaei Mohammad Hossein,

Atashbar Mahmoud

Publication year - 2014

Publication title -

ieej transactions on electrical and electronic engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.254

H-Index - 30

eISSN - 1931-4981

pISSN - 1931-4973

DOI - 10.1002/tee.22006

Subject(s) - singular value decomposition , unitary state , algorithm , bin , computer science , direction of arrival , wideband , signal (programming language) , value (mathematics) , singular value , mathematics , electronic engineering , telecommunications , engineering , physics , machine learning , political science , antenna (radio) , law , eigenvalues and eigenvectors , quantum mechanics , programming language

The coherent l 1 ‐singular value decomposition ( l 1 ‐SVD) uses a non‐unitary coherent strategy for transferring different frequency bin data to a reference bin, which decreases the signal‐to‐error ratio (SER) in transferring, thereby leading to a decrease in accuracy in the direction of arrival (DOA) estimation. To cope with this problem, in this paper we propose a unitary coherent strategy that uses unitary focusing matrices for transferring data. Simulation results show that the proposed method outperforms the coherent l 1 ‐SVD method in accurate DOA estimation. © 2014 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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