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A super transformed nested array with reduced mutual coupling for direction of arrival estimation of non‐circular signals.

Authors :
Mei, Fengtong
Xu, Haiyun
Cui, WeiJia
Jian, Chunxiao
Zhang, Jian
Source :
IET Radar, Sonar & Navigation (Wiley-Blackwell); May2022, Vol. 16 Issue 5, p799-814, 16p
Publication Year :
2022

Abstract

Recently, sparse linear arrays have aroused significant attention because they can provide increased degrees of freedom (DOFs) and enlarged inter‐element spacing, which are the critical factors to improve the accuracy of direction of arrival (DOA) estimation. In this paper, to alleviate the high mutual coupling caused by the dense part of transformed nested arrays (TNAs), we present a super transformed nested array (STNA) for the DOA estimation of non‐circular signals. It can be obtained by removing some sensors from the dense part of transformed nested arrays and relocating them appropriately. The proposed array structure possesses a higher DOF and a sparser physical structure, resulting in less mutual coupling compared to TNA. For the proposed array structure, we provide theoretical proof of the DOFs and deduce the weight functions. Numerical simulations are conducted to demonstrate the advantages of the STNA over existing sparse arrays. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17518784
Volume :
16
Issue :
5
Database :
Complementary Index
Journal :
IET Radar, Sonar & Navigation (Wiley-Blackwell)
Publication Type :
Academic Journal
Accession number :
156362673
Full Text :
https://doi.org/10.1049/rsn2.12221