Sparsity-Based Robust Bistatic MIMO Radar Imaging in the Presence of Array Errors
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 i...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2020/2304913 |
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| _version_ | 1832546928138649600 |
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| author | Wenyu Gao Jun Li Daming Zhang Qinghua Guo |
| author_facet | Wenyu Gao Jun Li Daming Zhang Qinghua Guo |
| author_sort | Wenyu Gao |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-2414942c899a492b85dd56db059294b4 |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-2414942c899a492b85dd56db059294b42025-02-03T06:46:36ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772020-01-01202010.1155/2020/23049132304913Sparsity-Based Robust Bistatic MIMO Radar Imaging in the Presence of Array ErrorsWenyu Gao0Jun Li1Daming Zhang2Qinghua Guo3National Lab of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaNational Lab of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaNational Lab of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaSchool of Electrical Computer and Telecommunications Engineering, University of Wollongong, Wollonogng 2522, AustraliaA 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.http://dx.doi.org/10.1155/2020/2304913 |
| spellingShingle | Wenyu Gao Jun Li Daming Zhang Qinghua Guo Sparsity-Based Robust Bistatic MIMO Radar Imaging in the Presence of Array Errors International Journal of Antennas and Propagation |
| title | Sparsity-Based Robust Bistatic MIMO Radar Imaging in the Presence of Array Errors |
| title_full | Sparsity-Based Robust Bistatic MIMO Radar Imaging in the Presence of Array Errors |
| title_fullStr | Sparsity-Based Robust Bistatic MIMO Radar Imaging in the Presence of Array Errors |
| title_full_unstemmed | Sparsity-Based Robust Bistatic MIMO Radar Imaging in the Presence of Array Errors |
| title_short | Sparsity-Based Robust Bistatic MIMO Radar Imaging in the Presence of Array Errors |
| title_sort | sparsity based robust bistatic mimo radar imaging in the presence of array errors |
| url | http://dx.doi.org/10.1155/2020/2304913 |
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