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Near-field source localization via sparse subarrays

  • Xidian University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名Future Communication Technology
出版商WITPress
841-851
页数11
ISBN(印刷版)9781845648633
DOI
出版状态已出版 - 2014
已对外发布
活动2013 International Conference on Communication Technology, ICCT 2013 - , 新加坡
期限: 15 11月 201316 11月 2013

出版系列

姓名WIT Transactions on Information and Communication Technologies
51
ISSN(印刷版)1743-3517

会议

会议2013 International Conference on Communication Technology, ICCT 2013
国家/地区新加坡
时期15/11/1316/11/13

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