Passive localization of noncircular sources in the near-field

Jian Xie, Haihong Tao, Xuan Rao, Jia Su

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

9 Scopus citations

Abstract

In this paper, a novel near-field localization algorithm for noncircular sources is proposed using the uniform linear array (ULA). Firstly, an extended covariance matrix is constructed and decomposed to generate the corresponding extended signal subspace and noise subspace. Then, based on the symmetric property of the extended array manifold, the direction-of-arrival (DOA) estimates are obtained via rank reduction (RARE). Finally, the range of each source is successively obtained by another RARE estimator. The proposed algorithm is efficient in that it only requires second-order statistics (SOS) and 1D spectral search. In addition, compared with the conventional SOS-based methods, the proposed algorithm can improve the estimation accuracy and resolve more sources. Simulation results are presented to validate the performance of the proposed algorithm.

Original languageEnglish
Title of host publicationInternational Radar Symposium, IRS 2015 - Proceedings
EditorsHermann Rohling, Hermann Rohling, Hermann Rohling
PublisherIEEE Computer Society
Pages493-498
Number of pages6
ISBN (Electronic)9783954048533, 9783954048533, 9783954048533
DOIs
StatePublished - 26 Aug 2015
Externally publishedYes
Event16th International Radar Symposium, IRS 2015 - Dresden, Germany
Duration: 24 Jun 201526 Jun 2015

Publication series

NameProceedings International Radar Symposium
Volume2015-August
ISSN (Print)2155-5753

Conference

Conference16th International Radar Symposium, IRS 2015
Country/TerritoryGermany
CityDresden
Period24/06/1526/06/15

Fingerprint

Dive into the research topics of 'Passive localization of noncircular sources in the near-field'. Together they form a unique fingerprint.

Cite this