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Signal based parameter estimation for precise circular-scanning SAR imaging

机译:基于信号的参数估计,用于精确的圆形扫描SAR成像

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Images obtained from circular-scanning synthetic aperture radar (SAR) are mainly used for self-guidance system using the well-known scene matching techniques, where the geometry accuracy of the images is very important for high precision target location. Due to the existence of errors in parameters measurement from inertial navigation system (INS), for example, velocity and beam scanning azimuth angle especially, imaging is not optimal and geometry distortion correction also not absolute. In this paper, a new method of velocity error and scanning azimuth angle error compensation is proposed based on echo data. Doppler navigation instrument can be used to measure velocity based on Doppler shift, so Doppler measuring velocity technique is adopted in the compensation of velocity and scanning azimuth angle error. The experimental result of a circular-scanning SAR system is given to demonstrate the validity of the proposed methodology.
机译:从循环扫描合成孔径雷达(SAR)获得的图像主要用于使用众所周知的场景匹配技术的自引导系统,其中图像的几何精度对于高精度目标位置非常重要。由于存在来自惯性导航系统(INS)的参数测量中的误差,例如,速度和光束扫描方位角,尤其是成像不是最佳的,几何失真校正也不是绝对的。本文基于回声数据提出了一种新的速度误差和扫描方位角误差补偿方法。多普勒导航仪器可用于根据多普勒偏移测量速度,因此在速度补偿和扫描方位角误差补偿中采用多普勒测量速度技术。给出了循环扫描SAR系统的实验结果,以证明所提出的方法的有效性。

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