一种改进的FMCW SAR信号处理距离偏移算法

Yake Li, S. O'Young
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摘要

距离偏移算法(RMA)是处理合成孔径雷达(SAR)信号的一种精确成像方法。然而,该算法在执行Stolt映射时需要大量的计算量。在高斜视和宽波束宽度成像中,由于Stolt映射后的光谱将显著扩展,因此该操作还需要较大的内存来存储结果光谱。为了提高RMA处理调频连续波(FMCW) SAR信号的效率,本文提出了一种不扩大信号频谱同时保持处理精度的改进Stolt映射方法。在处理FMCW SAR数据时,改进的RMA与距离多普勒算法(RDA)具有大致相同的计算负荷和相同的内存大小。在原始频谱被Stolt映射显著修改的极端情况下,改进的RMA比传统的RMA具有更好的聚焦质量。通过仿真和实际数据验证了该算法的性能。
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A Modified Range Migration Algorithm for FMCW SAR Signal Processing
The range migration algorithm (RMA) is an accurate imaging method for processing synthetic aperture radar (SAR) signals. However, this algorithm requires a big amount of computation when performing Stolt mapping. In high squint and wide beamwidth imaging, this operation also requires big memory size to store the result spectrum after Stolt mapping because the spectrum will be significantly expanded. A modified Stolt mapping that does not expand the signal spectrum while still maintains the processing accuracy is proposed in this paper to improve the efficiency of the RMA when processing frequency modulated continuous wave (FMCW) SAR signals. The modified RMA has roughly the same computational load and required the same memory size as the range Doppler algorithm (RDA) when processing FMCW SAR data. In extreme cases when the original spectrum is significantly modified by the Stolt mapping, the modified RMA achieves better focusing quality than the traditional RMA. Simulation and real data is used to verify the performance of the proposed RMA.
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