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A super transformed nested array with reduced mutual coupling for direction of arrival estimation of non‐circular signals
Author(s) -
Mei Fengtong,
Xu Haiyun,
Cui WeiJia,
Jian Chunxiao,
Zhang Jian
Publication year - 2022
Publication title -
iet radar, sonar and navigation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.489
H-Index - 82
eISSN - 1751-8792
pISSN - 1751-8784
DOI - 10.1049/rsn2.12221
Subject(s) - direction of arrival , coupling (piping) , estimation , circular buffer , statistics , mathematics , algorithm , computer science , statistical physics , physics , telecommunications , engineering , mechanical engineering , antenna (radio) , programming language , systems engineering
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.

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