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Improved MUSIC Algorithm for Multiple Noncoherent Subarrays

delete2014-05-01
delete63
PRE
AI
F
Fei Wen *
Q
Qun Wan
R
Rong Fan
H
Hewen Wei
DOI：10.1109/LSP.2014.2308271delete
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Abstract

Abstract

En 中文
This work addresses the direction-of-arrival (DOA) estimation issue with multiple noncoherent subarrays. We use a maximum likelihood approach to derive a weighted MUSIC (w-MUSIC) algorithm for such arrays, which obtains the overall spatial spectrum via combining the weighted MUSIC spectrum of the subarrays. Theoretical analysis and numerical examples demonstrate that the w-MUSIC algorithm has a better performance compared to a previously introduced MUSIC algorithm for noncoherent subarrays.
Keywords:
Direction Of Arrival (DOA) estimation
MUSIC algorithm
noncoherent arrays
time varying arrays
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Signal Processing Magazine cover
IEEE Signal Processing Magazine
IF:
9.6
Papers:
1.1W
Citations:
1.7W

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