Phase Error Correction in Sparse Linear MIMO Radar Based on the Equivalent Phase Center Principle
Multiple-input multiple-output (MIMO) technology is widely used in the field of radar imaging. Array sparse optimization reduces the hardware cost of MIMO radar, while virtual aperture and the equivalent phase center (EPC) principle simplify the radar signal model and reduce the computation and comp...
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| Language: | English |
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MDPI AG
2024-10-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/16/19/3685 |
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| author | Wenyuan Shao Jianmin Hu Yicai Ji Jun Pan Guangyou Fang |
| author_facet | Wenyuan Shao Jianmin Hu Yicai Ji Jun Pan Guangyou Fang |
| author_sort | Wenyuan Shao |
| collection | DOAJ |
| description | Multiple-input multiple-output (MIMO) technology is widely used in the field of radar imaging. Array sparse optimization reduces the hardware cost of MIMO radar, while virtual aperture and the equivalent phase center (EPC) principle simplify the radar signal model and reduce the computation and complexity of imaging algorithms. However, the application of sparse array structure and the EPC principle produces a non-negligible phase error, which affects the imaging quality. This paper simplifies the MIMO radar signal model based on the phase center approximation, analyzes the phase error generated by this method, and proposes an improved phase error correction method to solve the problem that the target cannot be well-focused at non-reference distance during imaging. In addition, this paper designs a sparse linear MIMO array with a periodic structure, which reduces the number of transmitting and receiving units, system complexity, and hardware costs. The proposed phase correction method was combined with the wavenumber domain algorithm to simulate and experiment on the designed antenna array, and good experimental results were obtained to verify the effectiveness of the proposed method. |
| format | Article |
| id | doaj-art-40f2d88186f947cb8dc5d0ad0bd814f5 |
| institution | OA Journals |
| issn | 2072-4292 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-40f2d88186f947cb8dc5d0ad0bd814f52025-08-20T01:47:36ZengMDPI AGRemote Sensing2072-42922024-10-011619368510.3390/rs16193685Phase Error Correction in Sparse Linear MIMO Radar Based on the Equivalent Phase Center PrincipleWenyuan Shao0Jianmin Hu1Yicai Ji2Jun Pan3Guangyou Fang4Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaGBA Branch of Aerospace Information Research Institute, Chinese Academy of Sciences, Guangzhou 510530, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaMultiple-input multiple-output (MIMO) technology is widely used in the field of radar imaging. Array sparse optimization reduces the hardware cost of MIMO radar, while virtual aperture and the equivalent phase center (EPC) principle simplify the radar signal model and reduce the computation and complexity of imaging algorithms. However, the application of sparse array structure and the EPC principle produces a non-negligible phase error, which affects the imaging quality. This paper simplifies the MIMO radar signal model based on the phase center approximation, analyzes the phase error generated by this method, and proposes an improved phase error correction method to solve the problem that the target cannot be well-focused at non-reference distance during imaging. In addition, this paper designs a sparse linear MIMO array with a periodic structure, which reduces the number of transmitting and receiving units, system complexity, and hardware costs. The proposed phase correction method was combined with the wavenumber domain algorithm to simulate and experiment on the designed antenna array, and good experimental results were obtained to verify the effectiveness of the proposed method.https://www.mdpi.com/2072-4292/16/19/3685multiple-input multiple-output (MIMO)radar imagingequivalent phase center (EPC)phase error correctionsparse linear array |
| spellingShingle | Wenyuan Shao Jianmin Hu Yicai Ji Jun Pan Guangyou Fang Phase Error Correction in Sparse Linear MIMO Radar Based on the Equivalent Phase Center Principle Remote Sensing multiple-input multiple-output (MIMO) radar imaging equivalent phase center (EPC) phase error correction sparse linear array |
| title | Phase Error Correction in Sparse Linear MIMO Radar Based on the Equivalent Phase Center Principle |
| title_full | Phase Error Correction in Sparse Linear MIMO Radar Based on the Equivalent Phase Center Principle |
| title_fullStr | Phase Error Correction in Sparse Linear MIMO Radar Based on the Equivalent Phase Center Principle |
| title_full_unstemmed | Phase Error Correction in Sparse Linear MIMO Radar Based on the Equivalent Phase Center Principle |
| title_short | Phase Error Correction in Sparse Linear MIMO Radar Based on the Equivalent Phase Center Principle |
| title_sort | phase error correction in sparse linear mimo radar based on the equivalent phase center principle |
| topic | multiple-input multiple-output (MIMO) radar imaging equivalent phase center (EPC) phase error correction sparse linear array |
| url | https://www.mdpi.com/2072-4292/16/19/3685 |
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