Compressive Sensing for High-Resolution Direction-of-Arrival Estimation via Iterative Optimization on Sensing Matrix
Joint Authors
Li, Hongtao
Wang, Chaoyu
Zhu, Xiaohua
Source
International Journal of Antennas and Propagation
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-07-29
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
A novel compressive sensing- (CS-) based direction-of-arrival (DOA) estimation algorithm is proposed to solve the performance degradation of the CS-based DOA estimation in the presence of sensing matrix mismatching.
Firstly, a DOA sparse sensing model is set up in the presence of sensing matrix mismatching.
Secondly, combining the Dantzig selector (DS) algorithm and least-absolute shrinkage and selection operator (LASSO) algorithm, a CS-based DOA estimation algorithm which performs iterative optimization alternatively on target angle information vector and sensing matrix mismatching error vector is proposed.
The simulation result indicates that the proposed algorithm possesses higher angle resolution and estimation accuracy compared with conventional CS-based DOA estimation algorithms.
American Psychological Association (APA)
Li, Hongtao& Wang, Chaoyu& Zhu, Xiaohua. 2015. Compressive Sensing for High-Resolution Direction-of-Arrival Estimation via Iterative Optimization on Sensing Matrix. International Journal of Antennas and Propagation،Vol. 2015, no. 2015, pp.1-5.
https://search.emarefa.net/detail/BIM-1065154
Modern Language Association (MLA)
Li, Hongtao…[et al.]. Compressive Sensing for High-Resolution Direction-of-Arrival Estimation via Iterative Optimization on Sensing Matrix. International Journal of Antennas and Propagation No. 2015 (2015), pp.1-5.
https://search.emarefa.net/detail/BIM-1065154
American Medical Association (AMA)
Li, Hongtao& Wang, Chaoyu& Zhu, Xiaohua. Compressive Sensing for High-Resolution Direction-of-Arrival Estimation via Iterative Optimization on Sensing Matrix. International Journal of Antennas and Propagation. 2015. Vol. 2015, no. 2015, pp.1-5.
https://search.emarefa.net/detail/BIM-1065154
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1065154