Utilizing Principal Singular Vectors for 2D DOA Estimation in Single Snapshot Case with Uniform Rectangular Array | Zendy

Yuntao Wu | Zendy; Xiaobing Pei | Zendy; Hing Cheung So | Zendy

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Utilizing Principal Singular Vectors for 2D DOA Estimation in Single Snapshot Case with Uniform Rectangular Array

Author(s) -

Yuntao Wu,

Xiaobing Pei,

Hing Cheung So

Publication year - 2015

Publication title -

international journal of antennas and propagation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.282

H-Index - 37

eISSN - 1687-5877

pISSN - 1687-5869

DOI - 10.1155/2015/681251

Subject(s) - snapshot (computer storage) , azimuth , algorithm , computer science , computational complexity theory , principal component analysis , direction of arrival , mathematics , artificial intelligence , geometry , telecommunications , operating system , antenna (radio)

The problem of azimuth and elevation directions of arrival (DOAs) estimationusing a uniform rectangular array (URA) in single snapshot case is addressed in this paper. Using the principal singular vectors of the observed data matrix, an iterative procedurebased on the linear prediction property, and weighted least squares is proposed for findingthe DOAs with lower computational complexity. Furthermore, the azimuth and elevationparameters are automatically paired. Computer simulations are included to demonstratethe effectiveness of the proposed algorithm

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