Title
Focused Compressive Sensing for Underdetermined Wideband DOA Estimation Exploiting High-Order Difference Coarrays.
Abstract
Group-sparsity-based method is applied to the 2qth-order difference coarray for underdetermined wideband direction of arrival (DOA) estimation. For complexity reduction, a focused compressive-sensing-based approach is proposed, without sacrificing its performance. Different from the conventional focusing approach, in the proposed one, focusing is applied to the virtual arrays and no preliminary DO...
Year
DOI
Venue
2017
10.1109/LSP.2016.2638880
IEEE Signal Processing Letters
Keywords
Field
DocType
Direction-of-arrival estimation,Focusing,Estimation,Wideband,Compressed sensing,Sensors,Discrete Fourier transforms
Wideband,Underdetermined system,Pattern recognition,Direction of arrival,Algorithm,Speech recognition,Reduction (complexity),Artificial intelligence,Compressed sensing,Mathematics
Journal
Volume
Issue
ISSN
24
1
1070-9908
Citations 
PageRank 
References 
3
0.39
25
Authors
6
Name
Order
Citations
PageRank
qing shen112310.88
Wei Liu225342.01
Wei Cui3958.64
Siliang Wu414118.92
Yimin Zhang51536130.17
Moeness Amin62909287.79