基于极坐标格式算法的地基雷达数据处理方法
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摘要
近年来,地基合成孔径雷达(Ground-based synthetic aperture radar,GBSAR)被广泛应用于地表形变监测和大型建筑物形变监测。极坐标格式算法(Polar Format Algorithm,PFA)是一种典型的聚束SAR高分辨率成像算法,本文针对地基SAR应用于特定监测目标场景这种应用背景,将极坐标格式算法应用于其中,提出了一种基于极坐标格式算法的地基雷达数据处理方法,建立了地基雷达的成像几何,结合chirp Z变换降低了算法的复杂度,从信号的相位历程这一角度分析了该方法的基本原理,最后通过仿真数据和实测数据验证了该理论方法的正确性和可行性。
In recent years, Ground-based Synthetic Aperture Radar(GBSAR) has been widely used in surface deformation monitoring and large building deformation monitoring. Polar Format Algorithm(PFA) is a typical high-beam imaging algorithm for spotlight SAR, this paper applies the application of ground-based SAR to specific monitoring target scenes, and applies polar coordinate format algorithm to it, a ground-based radar data processing method based on polar coordinate format algorithm is proposed. The imaging geometry of ground-based radar is established, combining the chirp Z transform reduces the complexity of the algorithm, the basic principle of the method is analyzed from the perspective of the phase history of the signal. Finally, the correctness and feasibility of the theoretical method are verified by simulation data and measured data.
In recent years, Ground-based Synthetic Aperture Radar(GBSAR) has been widely used in surface deformation monitoring and large building deformation monitoring. Polar Format Algorithm(PFA) is a typical high-beam imaging algorithm for spotlight SAR, this paper applies the application of ground-based SAR to specific monitoring target scenes, and applies polar coordinate format algorithm to it, a ground-based radar data processing method based on polar coordinate format algorithm is proposed. The imaging geometry of ground-based radar is established, combining the chirp Z transform reduces the complexity of the algorithm, the basic principle of the method is analyzed from the perspective of the phase history of the signal. Finally, the correctness and feasibility of the theoretical method are verified by simulation data and measured data.
引文
[1] 刘春,程起军,李俊义,等.基于地基干涉雷达的大型桥梁动态挠度监测与分析[J].工程勘察,2017(1):53-58.Liu Chun,Cheng Qijun,Li Junyi,et al.Monitoring dynamic deflection of large bridge by using ground-based interferometric radar[J].Geotechnical Investigation & Surveying,2017(1):53-58.(in Chinese)
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[7] 刘学敏,黄其欢,田林亚.IBIS-L系统及其在大坝变形监测中的应用[J].测绘与空间地理信息,2015(7):34-36.Liu Xuemin,Huang Qihuan,Tian Linya.The IBIS-L System and Its Application in Dam Deformation Monitoring[J].Geomatics & Spatial Information Technology,2015(7):34-36.(in Chinese)
[8] 林赟,谭维贤,洪文,等.圆迹SAR极坐标格式算法研究[J].电子与信息学报,2010,32(12):2802-2807.Lin Yun,Tan Weixian,Hong Wen,et al.Polar Format Algorithm for Circular Synthetic Aperture Radar[J].Journal of Electronics & Information Technology,2010,32(12):2802-2807.(in Chinese)
[9] 张士明.机载高分辨聚束式SAR成像技术研究[D].长沙:国防科学技术大学,2010.Zhang Shiming.Study of High Resolution Spotlight Synthetic Aperture Radar Imaging[D].Changsha:National University of Defense Technology,2010.(in Chinese)
[10] Gorham L R A,Rigling B D,Zelnio E G.A comparison between imaging radar and medical imaging polar format algorithm implementations[J].Proceedings of SPIE - The International Society for Optical Engineering,2007,46(1):1041-1042(2).
[11] Makarov P,Arici M.Stepped-Frequency Synthetic Aperture Radar Imaging via Polar Format Algorithm[C]//2017 Sensor Signal Processing for Defence Conference (SSPD).IEEE,2017.
[12] Crosetto M,Monserrat O,Luzi G,et al.Discontinuous GBSAR deformation monitoring[J].Isprs Journal of Photogrammetry & Remote Sensing,2014,93(7):136-141.
[2] 张昊宇,周克勤,宋亚腾,等.基于新型FMCW地基合成孔径雷达的大坝变形监测[J].长江科学院院报,2017,34(12):33-37.Zhang Haoyu,Zhou Keqin,Song Yateng,et al.A Novel FMCW GB.SAR Based Dam Deformation Monitoring[J].Journal of Yangtze River Scientific Research Institute,2017,34(12):33-37.(in Chinese)
[3] 谢超,王党卫,马晓岩,等.机载高分辨率大场景MIMO SAR成像算法研究[J].电光与控制,2013,20(8):42- 47.Xie Chao,Wang Dangwei,Ma Xiaoyan,et al.An Algorithm for High-Precision Large-Region Imaging of Airborne MIMO-SAR[J].Electronics Optics & Control,2013,20(8):42- 47.(in Chinese)
[4] 毛新华,朱岱寅,朱兆达.一种基于数字聚束的极坐标格式算法波前弯曲补偿[J].宇航学报,2013,34(2):246-253.Mao Xinhua,Zhu Daiyin,Zhu Zhaoda,Wave front Curvature Compensation Polar Format Algorithm Based Oil Digital Spotlighting Preprocessing[J].Journal of Astronautics,2013,34(2):246-253.(in Chinese)
[5] 陈英,欧阳玉梅,邵鹏,等.一种基于全场景分解的宽场景斜视聚束成像算法[J].桂林理工大学学报,2017(2):139-144.Chen Ying,Ouyang Yumei,Shao Peng,et al.Squinted spotlight SAR imaging algorithm for large scene by mosaicking sub-scene[J].Journal of Guilin University of Technology,2017(2):139-144.(in Chinese)
[6] 梁媚蓉,王晨沁,毛新华.基于极坐标格式算法的大斜视条带SAR子孔径拼接成像算法[J].南京航空航天大学学报,2016(5):649- 655.Liang Meirong,Wang Chengqin,Mao Xinhua.Subaperture Mosaic Imaging Algorithm for Highly Squinted Stripmap SAR Based on Polar Format Algorithm[J].Journal of Nanjing University of Aeronautics & Astronautics,2016(5):649- 655.(in Chinese)
[7] 刘学敏,黄其欢,田林亚.IBIS-L系统及其在大坝变形监测中的应用[J].测绘与空间地理信息,2015(7):34-36.Liu Xuemin,Huang Qihuan,Tian Linya.The IBIS-L System and Its Application in Dam Deformation Monitoring[J].Geomatics & Spatial Information Technology,2015(7):34-36.(in Chinese)
[8] 林赟,谭维贤,洪文,等.圆迹SAR极坐标格式算法研究[J].电子与信息学报,2010,32(12):2802-2807.Lin Yun,Tan Weixian,Hong Wen,et al.Polar Format Algorithm for Circular Synthetic Aperture Radar[J].Journal of Electronics & Information Technology,2010,32(12):2802-2807.(in Chinese)
[9] 张士明.机载高分辨聚束式SAR成像技术研究[D].长沙:国防科学技术大学,2010.Zhang Shiming.Study of High Resolution Spotlight Synthetic Aperture Radar Imaging[D].Changsha:National University of Defense Technology,2010.(in Chinese)
[10] Gorham L R A,Rigling B D,Zelnio E G.A comparison between imaging radar and medical imaging polar format algorithm implementations[J].Proceedings of SPIE - The International Society for Optical Engineering,2007,46(1):1041-1042(2).
[11] Makarov P,Arici M.Stepped-Frequency Synthetic Aperture Radar Imaging via Polar Format Algorithm[C]//2017 Sensor Signal Processing for Defence Conference (SSPD).IEEE,2017.
[12] Crosetto M,Monserrat O,Luzi G,et al.Discontinuous GBSAR deformation monitoring[J].Isprs Journal of Photogrammetry & Remote Sensing,2014,93(7):136-141.
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