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本文对应用于聚束SAR成像的卷积反投影 (CBP)算法进行了详细研究 ,采用子孔径处理的方法 ,使得这种算法的计算量得到明显的降低 .同时 ,对计算过程的分析表明CBP算法中所涉及的数量巨大的乘法运算可以用加法运算代替 ,加法操作又可以简单有效地利用可编程逻辑器件进行并行处理 .通过上述改进 ,CBP算法成像处理在计算量降低的同时 ,硬件结构也得到了很大的简化 .论文同时给出了大前斜视角情况下的处理方法、点目标仿真和利用快速CBP算法对E SAR原始数据的成像结果 .
In this paper, the convolution backprojection (CBP) algorithm for beamforming SAR imaging is studied in detail, and the sub-aperture processing method is adopted to reduce the computational complexity of this algorithm.At the same time, the analysis of the computational process shows that CBP The huge number of multiplication operations involved in the algorithm can be replaced by addition operation, and the addition operation can be simple and effective use of programmable logic devices for parallel processing. Through the above improvements, CBP algorithm imaging process while reducing the amount of computation, the hardware structure Has been greatly simplified.This paper also gives the processing method under the condition of large frontal squint angle, the point target simulation and the imaging results of the E SAR raw data by using the fast CBP algorithm.