Near-field source localization via sparse subarrays

Jian Xie, Haihong Tao, Jinze Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a novel extended aperture ESPRIT (EAESPRIT) algorithm for near-field sources localization via a sparse dual-size linear array. By constructing a cumulant matrix with only direction-of-arrival (DOA) information, the proposed algorithm decouples the DOA estimation from the range estimation. The cumulant-domain quarter-wavelength invariance yields unambiguous estimates of DOAs, which are then used as coarse references to disambiguate the phase ambiguities in fine estimates induced from the larger spatial invariance. With the estimated DOAs, range estimations are produced by searching on the one-dimensional range spectrum. Compared with some existing algorithms, the proposed algorithm enjoys extended array aperture and higher estimation accuracy. Simulation results are presented to validate the improvement in the performance of the proposed algorithm.

Original languageEnglish
Title of host publicationFuture Communication Technology
PublisherWITPress
Pages841-851
Number of pages11
ISBN (Print)9781845648633
DOIs
StatePublished - 2014
Externally publishedYes
Event2013 International Conference on Communication Technology, ICCT 2013 - , Singapore
Duration: 15 Nov 201316 Nov 2013

Publication series

NameWIT Transactions on Information and Communication Technologies
Volume51
ISSN (Print)1743-3517

Conference

Conference2013 International Conference on Communication Technology, ICCT 2013
Country/TerritorySingapore
Period15/11/1316/11/13

Keywords

  • Array signal processing
  • Near-field localization
  • Sparse array

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