Sparsity-Based Robust Bistatic MIMO Radar Imaging in the Presence of Array Errors
Joint Authors
Guo, Qinghua
Gao, Wenyu
Zhang, Daming
Li, Jun
Source
International Journal of Antennas and Propagation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-27
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
A sparse recovery method for robust transmit-receive angle imaging in a bistatic MIMO radar is proposed to deal with the effect of array gain-phase errors.
The impact of multiplicative array gain-phase errors is changed to be additive through model reformulation, and transmit-receive angle imaging is formulated to a sparse total least square signal problem.
Then, an iterative algorithm is proposed to solve the optimization problem.
Compared with existing methods, the proposed method can achieve a significant performance gain in the case that the number of snapshots is small.
Simulation results verify the effectiveness of the proposed method.
American Psychological Association (APA)
Gao, Wenyu& Li, Jun& Zhang, Daming& Guo, Qinghua. 2020. Sparsity-Based Robust Bistatic MIMO Radar Imaging in the Presence of Array Errors. International Journal of Antennas and Propagation،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1168740
Modern Language Association (MLA)
Gao, Wenyu…[et al.]. Sparsity-Based Robust Bistatic MIMO Radar Imaging in the Presence of Array Errors. International Journal of Antennas and Propagation No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1168740
American Medical Association (AMA)
Gao, Wenyu& Li, Jun& Zhang, Daming& Guo, Qinghua. Sparsity-Based Robust Bistatic MIMO Radar Imaging in the Presence of Array Errors. International Journal of Antennas and Propagation. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1168740
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1168740