New Channel Errors Estimation Method for Multichannel SAR Based on Virtual Calibration Source
The multichannel synthetic aperture radar (SAR) system can effectively overcome the fundamental limitation between high-resolution and wide-swath. However, the unavoidable channel errors will result in a mismatch of the reconstruction filter and false targets in pairs. To address this issue, a novel...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-09-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/18/3625 |
| _version_ | 1797517388877398016 |
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| author | Zhen Liang Xikai Fu Xiaolei Lv |
| author_facet | Zhen Liang Xikai Fu Xiaolei Lv |
| author_sort | Zhen Liang |
| collection | DOAJ |
| description | The multichannel synthetic aperture radar (SAR) system can effectively overcome the fundamental limitation between high-resolution and wide-swath. However, the unavoidable channel errors will result in a mismatch of the reconstruction filter and false targets in pairs. To address this issue, a novel channel errors calibration method is proposed based on the idea of minimizing the mean square error (MMSE) between the signal subspace and the space spanned by the practical steering vectors. The practical steering matrix of each Doppler bin can be constructed according to the Doppler spectrum. Compared with the time-domain correlation method, the proposed method no longer depends on the accuracy of the Doppler centroid estimation. Besides, compared with the orthogonal subspace method, the proposed method has the advantage of robustness under the condition of large samples by using the diagonal loading technique. To evaluate the performance, the results of simulation data and the real data acquired by the GF-3 dual-channel SAR system demonstrate that the proposed method has higher accuracy and more robustness than the conventional methods, especially in the case of low SNRs and high non-uniformity. |
| first_indexed | 2024-03-10T07:15:56Z |
| format | Article |
| id | doaj.art-f3c89df3e5bc45d3a1ad6cfbd1a82048 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T07:15:56Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-f3c89df3e5bc45d3a1ad6cfbd1a820482023-11-22T15:05:54ZengMDPI AGRemote Sensing2072-42922021-09-011318362510.3390/rs13183625New Channel Errors Estimation Method for Multichannel SAR Based on Virtual Calibration SourceZhen Liang0Xikai Fu1Xiaolei Lv2Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, ChinaKey Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, ChinaKey Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, ChinaThe multichannel synthetic aperture radar (SAR) system can effectively overcome the fundamental limitation between high-resolution and wide-swath. However, the unavoidable channel errors will result in a mismatch of the reconstruction filter and false targets in pairs. To address this issue, a novel channel errors calibration method is proposed based on the idea of minimizing the mean square error (MMSE) between the signal subspace and the space spanned by the practical steering vectors. The practical steering matrix of each Doppler bin can be constructed according to the Doppler spectrum. Compared with the time-domain correlation method, the proposed method no longer depends on the accuracy of the Doppler centroid estimation. Besides, compared with the orthogonal subspace method, the proposed method has the advantage of robustness under the condition of large samples by using the diagonal loading technique. To evaluate the performance, the results of simulation data and the real data acquired by the GF-3 dual-channel SAR system demonstrate that the proposed method has higher accuracy and more robustness than the conventional methods, especially in the case of low SNRs and high non-uniformity.https://www.mdpi.com/2072-4292/13/18/3625channel errors estimationvirtual calibration sourceminimum mean square error (MMSE)multichannel synthetic aperture radar (SAR) |
| spellingShingle | Zhen Liang Xikai Fu Xiaolei Lv New Channel Errors Estimation Method for Multichannel SAR Based on Virtual Calibration Source Remote Sensing channel errors estimation virtual calibration source minimum mean square error (MMSE) multichannel synthetic aperture radar (SAR) |
| title | New Channel Errors Estimation Method for Multichannel SAR Based on Virtual Calibration Source |
| title_full | New Channel Errors Estimation Method for Multichannel SAR Based on Virtual Calibration Source |
| title_fullStr | New Channel Errors Estimation Method for Multichannel SAR Based on Virtual Calibration Source |
| title_full_unstemmed | New Channel Errors Estimation Method for Multichannel SAR Based on Virtual Calibration Source |
| title_short | New Channel Errors Estimation Method for Multichannel SAR Based on Virtual Calibration Source |
| title_sort | new channel errors estimation method for multichannel sar based on virtual calibration source |
| topic | channel errors estimation virtual calibration source minimum mean square error (MMSE) multichannel synthetic aperture radar (SAR) |
| url | https://www.mdpi.com/2072-4292/13/18/3625 |
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