基于方位空变斜距模型的大斜视机动平台波数域SAR成像算法

由于加速度的存在，非线性轨迹的大斜视机动平台的SAR成像是一个亟待研究的问题。传统的斜距模型一般没有考虑加速度带来的点目标方位空变，在加速度存在的情况下难以获得良好的聚焦效果。为了解决加速度带来的影响，该文提出一种带加速度的非线性轨迹的方位空变模型，在此基础上提出一种大斜视波数域成像算法，通过空变滤波函数去除加速度带来的方位调频率变化和多普勒中心空变。 最后通过误差分析证明了所提方位空变模型的有效性，并通过仿真对比实验结果证明了所提成像算法的有效性。

Wavenumber-domain Imaging Algorithm for High Squint SAR Based on Azimuth Variation Range Model

Due to the acceleration in the moving of the platform, the SAR imaging of highly squinted maneuvering platform becomes a problem to be solved urgently. The majority of currently existing range models fail in taking the azimuth-variation into consideration, so the well-focused images are not obtained. To solve these problems, a new azimuth-variation range model under the non-linear trajectory caused by acceleration is constructed. Based on this model, a wavenumber-domain imaging algorithm for high squint SAR is proposed, which takes advantage of the azimuth-variation filter to remove the azimuth chirp rate changes and Doppler center changes caused by the acceleration. By the analysis of the model error, the precision of the model is confirmed. Contrast simulation results are presented to valid the superiority of the proposed approach.