【摘要】 针对环扫合成孔径雷达的成像方法进行研究,分析了环扫合成孔径雷达的工作原理以及信号模型,并提出一种基于频谱分析的聚焦成像算法,该算法较好地校正了批处理数据内的距离徙动,适合对环扫SAR(Synthetic Aperture Radar)进行高精度成像处理.给出了块数据快速聚焦算法的流程图以及简单的推导过程,并在此基础上给出了环扫SAR成像处理的完整流程.较之经典多普勒波束锐化DBS(Doppler Beam Sharpening)非聚焦算法,这种聚焦算法计算量略大,但成像精度高;较之ECS(Extended Chirp Scaling)算法,虽然补偿精度稍低,但计算量大大降低.因此这种算法能够很好地用于环扫SAR高分辨率快速成像.计算机仿真结果验证本文算法的有效性.更多还原

【Abstract】 Image formation for circular scanning synthetic aperture radar(CS-SAR) was investigated.The work principle and echo signal model of CS-SAR were described.A focused image algorithm based on spectrum analysis was presented.This focused algorithm was able to correct the range cell migration within each burst echo of CS-SAR,so it was suitable to form high precision image for CS-SAR.The algorithm flow chart and the deducing process of the algorithm for burst data were given,and the whole process flow chart for CS-SAR based on this algorithm was given also.Compared to classic unfocused Doppler beam sharpening(DBS) algorithm,this algorithm has a little more computational loads but much more imaging precision,compared to extended chirp scaling(ECS) algorithm,it has less precision but much less computational loads.It is competent for fast focused imaging for CS-SAR.The computer simulation results validates that this focused algorithm can be used to image accurately for CS-SAR.更多还原