Augmented Multi-Subarray Dilated Nested Array With Enhanced Degrees of Freedom and Reduced Mutual Coupling

Hua Chen*, Hongguang Lin, Wei Liu, Qing Wang, Qing Shen, Gang Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

Sparse linear arrays (SLAs) can be designed in a systematic way, with the ability for underdetermined DOA estimation where a greater number of sources can be detected than that of sensors. In this paper, as the first stage, a new systematic design named multi-subarray dilated nested array (MDNA), whose difference co-array (DCA) can be proved to be hole-free, is firstly proposed by introducing a sparse ULA and multiple identical dense ULAs with appropriate sub-ULA spacings. The MDNA will degenerate into the nested array under specific conditions, and the uniform degrees of freedom (uDOFs) of MDNA is larger than that of its parent nested array. On the basis of MDNA, to reduce the mutual coupling effect, an augmented multi-subarray dilated nested array (AMDNA) is constructed by migrating some elements of the dense segments of MDNA, without reducing the number of uDOFs. Several theoretical properties of the proposed array structures are proved, and simulation results are provided to demonstrate the effectiveness and superiority of the proposed AMDNA over some existing sparse arrays.

Original languageEnglish
Pages (from-to)1387-1399
Number of pages13
JournalIEEE Transactions on Signal Processing
Volume72
DOIs
Publication statusPublished - 2024

Keywords

  • DOA estimation
  • Sparse array
  • augmented multi-subarray dilated nested array
  • multi-subarray dilated nested array
  • nested array

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