NDLI: Direction-of-Arrival Estimation of Wideband Signals via Covariance Matrix Sparse Representation

Content Provider	IEEE Xplore Digital Library
Author	Zhang-Meng Liu Zhi-Tao Huang Yi-Yu Zhou
Copyright Year	1991
Abstract	This paper focuses on direction-of-arrival (DOA) estimation of wideband signals, and a method named wideband covariance matrix sparse representation (W-CMSR) is proposed. In W-CMSR, the lower left triangular elements of the covariance matrix are aligned to form a new measurement vector, and DOA estimation is then realized by representing this vector on an over-complete dictionary under the constraint of sparsity. The a priori information of the incident signal number is not needed in W-CMSR, and no spectral decomposition or focusing is introduced. Simulation results demonstrate the satisfying performance of W-CMSR in wideband DOA estimation in various settings. Moreover, theoretical analysis and numerical examples show how many simultaneous signals can be separated by W-CMSR on typical array geometries, and that the half-wavelength spacing restriction in avoiding ambiguity can be relaxed from the highest to the lowest frequency of the incident wideband signals.
Sponsorship	IEEE Signal Processing Society
Starting Page	4256
Ending Page	4270
Page Count	15
File Size	1387307
File Format	PDF
ISSN	1053587X
Volume Number	59
Issue Number	9
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Direction of arrival estimation Arrays Wideband Estimation Correlation Covariance matrix Geometry wideband signal Convex optimization direction-of-arrival (DOA) estimation sparse representation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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