Sparse Method for Direction of Arrival Estimation Using Denoised Fourth-Order Cumulants Vector

Sparse Method for Direction of Arrival Estimation Using Denoised Fourth-Order Cumulants Vector

Fourth-order cumulants (FOCs) vector-based direction of arrival (DOA) estimation methods of non-Gaussian sources may suffer from poor performance for limited snapshots or difficulty in setting parameters. In this paper, a novel FOCs vector-based sparse DOA estimation method is proposed. Firstly, by...

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Bibliographic Details
Main Authors: Yangyu Fan, Jianshu Wang, Rui Du, Guoyun Lv
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Sensors
Subjects:
direction of arrival estimation
fourth-order cumulants
non-Gaussian sources
fourth-order difference co-array
sparse Bayesian learning
Online Access:http://www.mdpi.com/1424-8220/18/6/1815

Internet

http://www.mdpi.com/1424-8220/18/6/1815

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