A Moving Target Velocity Estimation Method Based on the MC-MASA SAR Mode
Imaging position shift based on the multiple azimuth squint angles (MASA) mode is effective for target azimuth velocity estimation, whereas accuracy is low when target range velocity is high. In this paper, the estimation problem for both target azimuth and range velocities is considered based on th...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-04-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/9/1632 |
| _version_ | 1797536800263110656 |
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| author | Yamin Wang Jie Chen Wei Liu Chunsheng Li Wei Yang |
| author_facet | Yamin Wang Jie Chen Wei Liu Chunsheng Li Wei Yang |
| author_sort | Yamin Wang |
| collection | DOAJ |
| description | Imaging position shift based on the multiple azimuth squint angles (MASA) mode is effective for target azimuth velocity estimation, whereas accuracy is low when target range velocity is high. In this paper, the estimation problem for both target azimuth and range velocities is considered based on the multi-channels MASA (MC-MASA) mode. Firstly, the acquisition geometry of MC-MASA mode and Doppler characteristics of a moving target are analyzed in detail, especially in squint mode. Then, for better moving target estimation, the stationary background clutter is removed using the displacement phase center antenna (DPCA) technique, and the failure in range velocity estimation with sequential SAR images is also discussed. Furthermore, a modified along-track interferometry (ATI) is proposed to preliminarily reconstruct the azimuth-and-range velocity map based on the MC-MASA mode. Since the velocity estimation accuracy is dependent on squint angle and signal-to-clutter ratio (SCR), the circumstances are divided into three cases with different iteration estimation strategies, which could expand the scene application scope of velocity estimation and achieve a high estimation accuracy along both azimuth and range directions. Finally, the performance of the proposed method is demonstrated by experimental results. |
| first_indexed | 2024-03-10T12:05:58Z |
| format | Article |
| id | doaj.art-b1d5912f1c1a44a59f4d4ea25b446be2 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T12:05:58Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-b1d5912f1c1a44a59f4d4ea25b446be22023-11-21T16:34:53ZengMDPI AGRemote Sensing2072-42922021-04-01139163210.3390/rs13091632A Moving Target Velocity Estimation Method Based on the MC-MASA SAR ModeYamin Wang0Jie Chen1Wei Liu2Chunsheng Li3Wei Yang4School of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaDepartment of Electronic and Electrical Engineering, University of Sheffield, Sheffield S10 2TN, UKSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaImaging position shift based on the multiple azimuth squint angles (MASA) mode is effective for target azimuth velocity estimation, whereas accuracy is low when target range velocity is high. In this paper, the estimation problem for both target azimuth and range velocities is considered based on the multi-channels MASA (MC-MASA) mode. Firstly, the acquisition geometry of MC-MASA mode and Doppler characteristics of a moving target are analyzed in detail, especially in squint mode. Then, for better moving target estimation, the stationary background clutter is removed using the displacement phase center antenna (DPCA) technique, and the failure in range velocity estimation with sequential SAR images is also discussed. Furthermore, a modified along-track interferometry (ATI) is proposed to preliminarily reconstruct the azimuth-and-range velocity map based on the MC-MASA mode. Since the velocity estimation accuracy is dependent on squint angle and signal-to-clutter ratio (SCR), the circumstances are divided into three cases with different iteration estimation strategies, which could expand the scene application scope of velocity estimation and achieve a high estimation accuracy along both azimuth and range directions. Finally, the performance of the proposed method is demonstrated by experimental results.https://www.mdpi.com/2072-4292/13/9/1632multi-channels and multiple azimuth squint angles (MC-MASA)synthetic aperture radar (SAR)velocity estimationDPCAATI |
| spellingShingle | Yamin Wang Jie Chen Wei Liu Chunsheng Li Wei Yang A Moving Target Velocity Estimation Method Based on the MC-MASA SAR Mode Remote Sensing multi-channels and multiple azimuth squint angles (MC-MASA) synthetic aperture radar (SAR) velocity estimation DPCA ATI |
| title | A Moving Target Velocity Estimation Method Based on the MC-MASA SAR Mode |
| title_full | A Moving Target Velocity Estimation Method Based on the MC-MASA SAR Mode |
| title_fullStr | A Moving Target Velocity Estimation Method Based on the MC-MASA SAR Mode |
| title_full_unstemmed | A Moving Target Velocity Estimation Method Based on the MC-MASA SAR Mode |
| title_short | A Moving Target Velocity Estimation Method Based on the MC-MASA SAR Mode |
| title_sort | moving target velocity estimation method based on the mc masa sar mode |
| topic | multi-channels and multiple azimuth squint angles (MC-MASA) synthetic aperture radar (SAR) velocity estimation DPCA ATI |
| url | https://www.mdpi.com/2072-4292/13/9/1632 |
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