NDLI: Estimation DOAs of the coherent sources based on SVD

Content Provider	IEEE Xplore Digital Library
Author	Jie Zhang Dengshan Huang Ping Huang Jun Kang
Copyright Year	2010
Description	Author affiliation: School of Electronics and Information, Northwestern Polytechnical University, Xi'an, P.R. China (Jie Zhang; Dengshan Huang; Ping Huang; Jun Kang)
Abstract	An improved Method of DOA estimation in the presence of coherent signals is presented. First, using the eigenvector corresponding to the largest eigenvalue obtained from the received data covariance matrix, the presented method rebuilds a matrix, with which the auto-covariance matrix can be obtained. Then, we reconstruct a matrix using the equal of the obtained auto-covariance matrix and its complex-conjugation inversion. Thus, noise subspace can be gained by singular value decomposition. Afterwards, the direction parameters are estimated based on the MUSIC method. In comparison with the conventional de-correlation algorithms, the method offers better estimation performance for coherent sources, especially at low SNR and small snapshots. Simulation experiments demonstrate the effectiveness of the proposed method for estimation DOAs of the coherent sources.
File Size	286292
File Format	PDF
ISBN	9781424468928
e-ISBN	9781424468935
DOI	10.1109/ICSPS.2010.5555439
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-05
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	SVD Smoothing methods Eigenvalues and eigenfunctions coherent sources Covariance matrix Matrix decomposition Arrays Direction of arrival estimation Signal to noise ratio covariance matrix direction of arrival (DOA)
Content Type	Text
Resource Type	Article

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