Subspace‐based direction‐of‐arrival estimation using centro‐symmetrical arrays | Zendy

Yan FengGang | Zendy; Jin Tao | Zendy; Jin Ming | Zendy; Shen Yi | Zendy

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Subspace‐based direction‐of‐arrival estimation using centro‐symmetrical arrays

Author(s) -

Yan FengGang,

Jin Tao,

Jin Ming,

Shen Yi

Publication year - 2016

Publication title -

electronics letters

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.375

H-Index - 146

ISSN - 1350-911X

DOI - 10.1049/el.2016.1953

Subject(s) - estimator , signal subspace , subspace topology , direction of arrival , algorithm , computational complexity theory , multiple signal classification , dimension (graph theory) , noise (video) , reduction (mathematics) , computation , signal (programming language) , computer science , mathematics , artificial intelligence , telecommunications , statistics , antenna (radio) , geometry , pure mathematics , image (mathematics) , programming language

A fast algorithm is presented to dramatically reduce the complexity of the multiple signal classification (MUSIC) algorithm with centro‐symmetrical arrays. The proposed method requires only real‐valued computations with a limited spectral search over half of the angular field‐of‐view, and the dimension of the noise subspace and that of the search vector are reduced, leading to about 96.875% complexity reduction as compared with MUSIC. Simulations show the new estimator performs well at low signal‐to‐noise ratio and with a small number of snapshots.

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