NDLI: Fast sequential source localization using the Projected Companion Matrix approach

Content Provider	IEEE Xplore Digital Library
Author	El Korso, M.N. Boyer, R. Marcos, S.
Copyright Year	2009
Description	Author affiliation: Laboratiore des Signaux et Systèmes (L2S), Université Paris-Sud XI (UPS), CNRS, SUPELEC, Gif-Sur-Yvette, France (El Korso, M.N.; Boyer, R.; Marcos, S.)
Abstract	The sequential forms of the spectral MUSIC algorithm, such as the Sequential MUSIC (S-MUSIC) and the Recursively Applied and Projected MUSIC (RAP-MUSIC) algorithms, use the previously estimated DOA (Direction Of Arrival) to form an intermediate array gain matrix and project both the array manifold and the signal subspace estimate into its orthogonal complement. By doing this, these methods avoid the delicate search of multiple maxima and yield a more accurate DOA estimation in difficult scenarios. However, these high-resolution algorithms adapted to a general array geometry suffer from a high computational cost. On the other hand, for linear equispaced sensor array, the root-MUSIC algorithm is a fast and accurate high-resolution scheme which also avoids the delicate search of multiple maxima but a sequential scheme based on the root-MUSIC algorithm does not exist. This paper1 fills this need. Thus, we present a new sequential high-resolution estimation method, called the Projected Companion Matrix MUSIC (PCM-MUSIC) method, in the context of source localisation in the case of linear equispaced sensor array. Remark that the proposed algorithm can be used without modification in the context of spectral analysis.
Starting Page	245
Ending Page	248
File Size	347766
Page Count	4
File Format	PDF
ISBN	9781424451791
DOI	10.1109/CAMSAP.2009.5413288
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-13
Publisher Place	Aruba
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Degradation Estimation error Maximum likelihood estimation Energy consumption Costs Adaptive arrays Closed-form solution Direction of arrival estimation Statistics Sensor arrays
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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