Hole‐free sparse array for highly efficient direction of arrival estimation: Enhanced uniform difference co‐array

Autor: Baohua Zhang, Guangyi Liu, Ou Li, Zhixiang Shen, Fengtong Mei
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: IET Radar, Sonar & Navigation, Vol 17, Iss 11, Pp 1612-1625 (2023)
Druh dokumentu: article
ISSN: 1751-8792
1751-8784
DOI: 10.1049/rsn2.12453
Popis: Abstract Sparse arrays with O(N) sensors can offer ON2 number of degrees of freedom by exploiting the difference co‐array that can be obtained from the second‐order statistics of received signals. In this article, a novel sparse array with seven subarrays (SA‐7S) by carefully assembling the subarrays is proposed, and the resulting SA‐7S can generate a hole‐free uniform difference co‐array. The sensor locations of the SA‐7S array are uniquely determined by a closed‐form expression and the number of achievable degrees of freedom is analytically presented as well. Theoretical analysis shows that the SA‐7S can provide a higher number of degrees of freedom than most sparse linear arrays. Simulations are performed to validate the advantage of the proposed array in terms of uDOFs, mutual coupling and direction of arrival estimation performance.
Databáze: Directory of Open Access Journals
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