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Computationally Efficient Compressed Sensing-Based Method via FG Nyström in Bistatic MIMO Radar with Array Gain-Phase Error Effect
Joint Authors
Hu, Jurong
Baidoo, Evans
Zhan, Lei
Tian, Ying
Source
International Journal of Antennas and Propagation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-10
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
In this paper, a robust angle estimator for uncorrelated targets that employs a compressed sense (CS) scheme following a fast greedy (FG) computation is proposed to achieve improved computational efficiency and performance for the bistatic MIMO radar with unknown gain-phase errors.
The algorithm initially avoids the wholly computation of the received signal by compiling a lower approximation through a greedy Nyström approach.
Then, the approximated signal is transformed into a sparse signal representation where the sparsity of the target is exploited in the spatial domain.
Finally, a CS method, Simultaneous Orthogonal Matching Pursuit with an inherent gradient descent method, is utilized to reconstruct the signal and estimate the angles and the unknown gain-phase errors.
The proposed algorithm, aside achieving closed-form resolution for automatically paired angle estimation, offers attractive computational competitiveness, specifically in large array scenarios.
Additionally, the analyses of the computational complexity and the Cramér–Rao bounds for angle estimation are derived theoretically.
Numerical experiments demonstrate the improvement and effectiveness of the proposed method against existing methods.
American Psychological Association (APA)
Hu, Jurong& Baidoo, Evans& Zhan, Lei& Tian, Ying. 2020. Computationally Efficient Compressed Sensing-Based Method via FG Nyström in Bistatic MIMO Radar with Array Gain-Phase Error Effect. International Journal of Antennas and Propagation،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1168717
Modern Language Association (MLA)
Hu, Jurong…[et al.]. Computationally Efficient Compressed Sensing-Based Method via FG Nyström in Bistatic MIMO Radar with Array Gain-Phase Error Effect. International Journal of Antennas and Propagation No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1168717
American Medical Association (AMA)
Hu, Jurong& Baidoo, Evans& Zhan, Lei& Tian, Ying. Computationally Efficient Compressed Sensing-Based Method via FG Nyström in Bistatic MIMO Radar with Array Gain-Phase Error Effect. International Journal of Antennas and Propagation. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1168717
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1168717