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A Modified Range Model and Doppler Resampling Based Imaging Algorithm for High Squint SAR on Maneuvering Platforms

机译:基于修改的范围模型和基于多普勒重采样的机动平台高斜视SAR的成像算法

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摘要

There are two technical difficulties to overcome before obtaining a well-focused image from high squint (HS) synthetic aperture radar (SAR) with constant acceleration. One is effective range modeling and the other is the correction of space-variant (SV) Doppler parameters. Based on the imaging characteristics analysis, an orthogonal expansion range model (OERM) is proposed which can handle the coordinate rotation caused by range walk correction (RWC). Then a modified spectral analysis (SPECAN) with the Doppler resampling method is designed to correct the SV Doppler parameters. Finally, the proposed algorithm is verified by both simulated and real SAR data. Meanwhile, it shows an improvement in azimuth focusing quality over the reference one.
机译:在从高斜视(HS)合成孔径雷达(SAR)获得具有恒定加速度的高级别(HS)合成孔径雷达(SAR)之前有两个技术难以克服。一个是有效的范围建模,另一个是空间变量(SV)多普勒参数的校正。基于成像特性分析,提出了一种正交扩展范围模型(OERM),其可以处理由范围步行校正(RWC)引起的坐标旋转。然后使用多普勒重采样方法进行修改的光谱分析(Specan),以校正SV多普勒参数。最后,通过模拟和真实的SAR数据验证所提出的算法。同时,它显示了在参考文献中的方位角集中质量的改进。

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