Signal Processing Based Remote Sensing Data Simulation in Radar System
Range cell migration has a serious impact on the precision of image formation, especially for high-resolution and large-scale imaging. To get the full resolution and high quality of the image, the range cell migration correction in the azimuth time domain must be considered. For tackling this proble...
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2017/6780305 |
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| _version_ | 1850169290507943936 |
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| author | Renxuan Hao Tan Guo |
| author_facet | Renxuan Hao Tan Guo |
| author_sort | Renxuan Hao |
| collection | DOAJ |
| description | Range cell migration has a serious impact on the precision of image formation, especially for high-resolution and large-scale imaging. To get the full resolution and high quality of the image, the range cell migration correction in the azimuth time domain must be considered. For tackling this problem, this paper presents a novel and efficient range cell migration correction method based on curve fitting and signal processing. By emulating a curve to approximate the range-compressed echo of a strong point, the range location indexes of the strong point along the azimuth direction can be obtained under the least squares criterion. The merits of the proposed method are twofold: (1) the proposed method is robust to the uncertainty of system parameters (strong tolerance) under real flights and (2) the generalization of the proposed method is better and can be easily adapted to different synthetic aperture radar (SAR) modes (e.g., monostatic and bistatic). The experimental results on real remote sensing data from both the monostatic and the bistatic SAR demonstrate the effectiveness. The regressed distance curve is completely coincident with the trajectory of strong points of the echo. Finally, the imaging focus results also validate the efficiency of the proposed method. |
| format | Article |
| id | doaj-art-a6bef8d1b8384a2e982d80be5241f2d8 |
| institution | OA Journals |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-a6bef8d1b8384a2e982d80be5241f2d82025-08-20T02:20:45ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552017-01-01201710.1155/2017/67803056780305Signal Processing Based Remote Sensing Data Simulation in Radar SystemRenxuan Hao0Tan Guo1School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaCollege of Communication Engineering, Chongqing University, Chongqing, ChinaRange cell migration has a serious impact on the precision of image formation, especially for high-resolution and large-scale imaging. To get the full resolution and high quality of the image, the range cell migration correction in the azimuth time domain must be considered. For tackling this problem, this paper presents a novel and efficient range cell migration correction method based on curve fitting and signal processing. By emulating a curve to approximate the range-compressed echo of a strong point, the range location indexes of the strong point along the azimuth direction can be obtained under the least squares criterion. The merits of the proposed method are twofold: (1) the proposed method is robust to the uncertainty of system parameters (strong tolerance) under real flights and (2) the generalization of the proposed method is better and can be easily adapted to different synthetic aperture radar (SAR) modes (e.g., monostatic and bistatic). The experimental results on real remote sensing data from both the monostatic and the bistatic SAR demonstrate the effectiveness. The regressed distance curve is completely coincident with the trajectory of strong points of the echo. Finally, the imaging focus results also validate the efficiency of the proposed method.http://dx.doi.org/10.1155/2017/6780305 |
| spellingShingle | Renxuan Hao Tan Guo Signal Processing Based Remote Sensing Data Simulation in Radar System Journal of Electrical and Computer Engineering |
| title | Signal Processing Based Remote Sensing Data Simulation in Radar System |
| title_full | Signal Processing Based Remote Sensing Data Simulation in Radar System |
| title_fullStr | Signal Processing Based Remote Sensing Data Simulation in Radar System |
| title_full_unstemmed | Signal Processing Based Remote Sensing Data Simulation in Radar System |
| title_short | Signal Processing Based Remote Sensing Data Simulation in Radar System |
| title_sort | signal processing based remote sensing data simulation in radar system |
| url | http://dx.doi.org/10.1155/2017/6780305 |
| work_keys_str_mv | AT renxuanhao signalprocessingbasedremotesensingdatasimulationinradarsystem AT tanguo signalprocessingbasedremotesensingdatasimulationinradarsystem |