Thinned Coprime Array for Second-Order Difference Co-Array Generation with Reduced Mutual Coupling

Ahsan Raza, Wei Liu, Qing Shen

Research output: Journal article publicationJournal articleAcademic researchpeer-review

181 Citations (Scopus)

Abstract

In this work, we present a new coprime array structure termed thinned coprime array (TCA), which exploits the redundancy in the structure of existing coprime array and achieves the same virtual aperture and degrees of freedom (DOFs) as the conventional coprime array with much fewer number of sensors. In comparison to other sparse arrays, thinned coprime arrays possess more unique lags (total number of difference co-arrays) than the nested arrays, while the number of consecutive lags (connected co-arrays) generated is close to 75% of the consecutive lags of the nested arrays with hole-free co-arrays. The resulting structure is much sparser and the number of sensor pairs with small separation is significantly reduced. Theoretical properties and proofs are provided and simulations are presented to demonstrate its robustness against heavy levels of mutual coupling using compressive sensing based direction of arrival estimation as well as certain additional desirable characteristics.

Original languageEnglish
Article number8651425
Pages (from-to)2052-2065
Number of pages14
JournalIEEE Transactions on Signal Processing
Volume67
Issue number8
DOIs
Publication statusPublished - Feb 2019

Keywords

  • degrees of freedom
  • difference co-array
  • DOA estimation
  • Mutual coupling
  • thinned coprime array

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Thinned Coprime Array for Second-Order Difference Co-Array Generation with Reduced Mutual Coupling'. Together they form a unique fingerprint.

Cite this