NDLI: Low complexity direction-of-arrival estimation of coherent noncircular sources

Content Provider	Springer Nature Link
Author	Sun, Xin Yu Zhou, Jian Jiang Chen, Hua Wei
Copyright Year	2014
Abstract	Conventional direction-of-arrival (DOA) estimation methods for coherent noncircular signals may reduce the effective aperture of sensor arrays and thus have low estimation accuracy. To address this problem, a low complexity algorithm for DOA estimation of noncircular coherent signals, the extended ESPRIT-like (EEL) algorithm, is proposed in this paper. The proposed EEL algorithm has fully utilized the effective array aperture and the number of the sources that can be detected by the proposed algorithm now can attain the two-third of the total number of the impinging sources. Compared with the existing DOA estimation methods for noncircular coherent signals, the proposed EEL algorithm has lower computational complexity and higher DOA estimation accuracy. Simulation results are presented to show the superior performance of the proposed method.
Starting Page	159
Ending Page	177
Page Count	19
File Format	PDF
ISSN	09236082
Journal	Multidimensional Systems and Signal Processing
Volume Number	27
Issue Number	1
e-ISSN	15730824
Language	English
Publisher	Springer US
Publisher Date	2014-09-02
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Direction-of-arrival (DOA) ESPRIT Noncircular signal Singular value decomposition (SVD) Circuits and Systems Electrical Engineering Signal, Image and Speech Processing Artificial Intelligence (incl. Robotics)
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Artificial Intelligence Signal Processing Information Systems Computer Science Applications Software Hardware and Architecture

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