NDLI: Near-Field Source Localization via Symmetric Subarrays

Content Provider	IEEE Xplore Digital Library
Author	Wanjun Zhi Chia, M.Y.-W.
Copyright Year	1994
Abstract	We propose a near-field source localization algorithm with one-dimensional (1-D) search via symmetric subarrays. By dividing the uniform linear array (ULA) into two symmetric subarrays, the steering vectors of the subarrays yield the 1-D (only bearing-related) property of rotational invariance in signal subspace, which allows for the bearing estimation using the generalized far-field ESPRIT. With the estimated bearing, the range estimation of each source is consequently obtained by defining the 1-D MUSIC spectrum. This algorithm transforms the two-dimensional search involved in the parameter estimation to a 1-D search, and it does not require high-order statistics computation in contrast with the traditional near-field high-order ESPRIT algorithm
Sponsorship	IEEE Signal Processing Society
Starting Page	409
Ending Page	412
Page Count	4
File Size	330614
File Format	PDF
ISSN	10709908
Volume Number	14
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensor arrays Direction of arrival estimation Statistics Signal processing Multiple signal classification Parameter estimation Partitioning algorithms Vectors Multidimensional systems Phased arrays symmetric subarray Near field source localization
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Signal Processing Electrical and Electronic Engineering

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