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Precise spaceborne SAR image formation technique based onthe analysis of critical errors using the spaceborne SAR simulator

机译:基于关键误差分析的星载SAR模拟器的精确星载SAR成像技术

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This paper proposes the precise spaceborne synthetic aperture radar (SAR) image formation technique based on the analysis of critical error factors that severely degrade the SAR image quality. These are error factors related to the antenna beam pointing, the effective velocity, and the Doppler centroid. We newly developed the spaceborne SAR system simulator which is able to analysis effects that critical errors of the user-designed spaceborne SAR induce on a focused image. Using it, effects of critical errors are analyzed for spaceborne SAR image formation. Analysis results show that these cause phase distortion of rawdata, distort the symmetry of the azimuth impulse response function (IRF) of point targets in the focused image, and defocus the SAR image. To resolve these problems, we suggest to make use of the phase gradient algorithm (PGA) to compensate phase distortion induced by antenna beam pointing errors. Also, the effective velocity of the illuminated beam and the Doppler centroid of spaceborne SAR rawdata are exactly calculated by proposed methods using both orbit state vectors and the rawdata acquisition geometry based on the newly defined two-way slant range equation model. Furthermore, azimuth block processing is used to reduce signal level of ambiguities produced by sidelobes of antenna beam. The experimental results on the simulated SAR data show that proposed methods are able to reduce error effects as well as improve the focused SAR image quality greatly.
机译:在分析严重降低SAR图像质量的关键误差因素的基础上,提出了一种精确的星载合成孔径雷达(SAR)成像技术。这些是与天线波束指向,有效速度和多普勒质心有关的误差因素。我们新开发了星载SAR系统模拟器,该模拟器能够分析用户设计的星载SAR的关键误差在聚焦图像上引起的影响。使用它,可以分析关键误差对星载SAR图像形成的影响。分析结果表明,这些引起原始数据的相位失真,使聚焦图像中的点目标的方位脉冲响应函数(IRF)的对称性变形,并使SAR图像散焦。为了解决这些问题,我们建议利用相位梯度算法(PGA)来补偿由天线波束指向误差引起的相位失真。此外,基于轨道距离矢量和原始数据采集几何结构,基于新定义的双向倾斜范围方程模型,通过拟议的方法精确计算了星载SAR原始数据的照射光束和多普勒质心的有效速度。此外,使用方位块处理来减小由天线波束的旁瓣产生的歧义的信号电平。仿真SAR数据的实验结果表明,所提出的方法能够减少误差影响,并大大提高聚焦SAR图像的质量。

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