NDLI: Fast DOA estimation algorithm using pseudo covariance matrix

Content Provider	IEEE Xplore Digital Library
Author	Jung-Tae Kim Dong-Seog Han
Copyright Year	2003
Description	Author affiliation: Sch. of Electron. & Electr. Eng., Kyungpook Nat. Univ., Daegu, South Korea (Jung-Tae Kim; Dong-Seog Han)
Abstract	This paper presents a fast direction of arrival (DOA) estimation algorithm that can rapidly estimate the incidence angles of signals using a pseudo covariance matrix even under coherent signal conditions. The conventional multiple signal classification (MUSIC) algorithm requires hundreds of snapshots to produce a covariance matrix of signals, as such, it cannot perform a DOA estimation while acquiring this covariance matrix. In addition, the MUSIC algorithm cannot be used under rapidly changing or correlated signal conditions. In contrast, the proposed algorithm obtains the bearing response and directional spectrum after acquiring a pseudo covariance matrix for each snapshot. The incidence angles can then be exactly estimated by combining the bearing response and directional spectrum. Accordingly, unlike the MUSIC algorithm, since the proposed algorithm only uses a single snapshot to obtain the pseudo covariance matrix. It can rapidly estimate the DOAs of signals even when they are correlated.
Starting Page	519
Ending Page	523
File Size	314911
Page Count	5
File Format	PDF
ISBN	0780377575
ISSN	10903038
DOI	10.1109/VETECS.2003.1207596
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-04-22
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Direction of arrival estimation Covariance matrix Multiple signal classification Auditory system Array signal processing Adaptive arrays Classification algorithms Signal resolution Narrowband Vectors
Content Type	Text
Resource Type	Article

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