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A Subaperture Imaging Algorithm to Highly Squinted TOPS SAR Based on SPECAN and Deramping

机译:基于Specan和Disamping的高度眯着眼镜顶部SAR的子孔节成像算法

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As the azimuth beam sweeps at high squint angles, the real difficulty in processing high squinted terrain observation by progressive scans (TOPS) data is the azimuth spectrum aliasing of received signal and azimuth time aliasing after range cell migration correction (RCMC). For these problems, a subaperture imaging algorithm based on SPECAN and Deramping is proposed in this paper. Echo data is properly divided into subapertues so that azimuth spectrum without aliasing can be obtained; then the modified range migration algorithm (RMA), which can deal with the high squint case with low interpolation load, is used to perform RCMC; finally, the azimuth signal is focused in the Doppler domain by SPECAN and Deramping. To minimize the computation load of the proposed algorithm, the parameters used for SPECAN and Deramping should be accurately calculated. Point simulated SAR data in squinted TOPS mode are used to validate the effectiveness of the proposed algorithm.
机译:随着方位角梁在高斜视角度扫描,通过渐进扫描(顶部)数据处理高斜视地形观察的真实难度是在范围小区迁移校正(RCMC)之后的接收信号和方位角时间别名的方位谱叠加。对于这些问题,本文提出了一种基于Specan和DoSamping的子地图成像算法。回声数据被适当地分为子孔节,使得可以获得无叠种的方位角频谱;然后,可以处理具有低插值负载的高级别案例的修改范围迁移算法(RMA)用于执行RCMC;最后,方位信号通过样品域并扩张在多普勒域中聚焦。为了最小化所提出的算法的计算负荷,应准确地计算用于样本和扩展的参数。 D点模拟SAR数据中的斜视顶部模式用于验证所提出的算法的有效性。

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