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基于因式分解BP的车载前视地表穿透SAR快速成像算法

Fast Factorized Backprojection Algorithm for Vehicle-mounted Forward-looking Ground Penetrating SAR
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摘要 车载前视地表穿透SAR(VMFL-GPSAR)属于双站SAR的范畴,采用单站快速因式分解BP(FFBP)处理存在较大的误差。针对双站SAR模型分析FFBP的距离误差,给出了极角采样率限制条件,提出了双站FFBP算法,通过合理设置子孔径中心提高聚焦效果,并结合距离相位补偿和线性插值技术,进一步提高聚焦精度。仿真和VMFL-GPSAR实际数据处理结果验证了双站FFBP算法,成像效率可提高2.31倍。 The vehicle-mounted forward-looking ground penetrating SAR(VMFL-GPSAR) is a kind of bistatic SAR. Fast factorized backprojection(FFBP) originally developed for unistatic SAR fails to efficiently form well-focused VMFL-GPSAR image. A bistatic FFBP algorithm is derived after the analysis of the round trip range error of FFBP in VMFL-GPSAR. In the bistatie FFBP, the range error can be reduced by rational subaperture center configuration and by polar angle interval constraint. Besides, by combining range phase compensation and 2D linear interpolation, the bistatic FFBP can perform faster with the same focus precision. Simulation and VMFL-GPSAR raw data processing validate the bistatic FFBP algorithm, achieving a 2.31 times speedup.
出处 《国防科技大学学报》 EI CAS CSCD 北大核心 2009年第1期74-79,共6页 Journal of National University of Defense Technology
关键词 双站 前视 地表穿透合成孔径雷达 快速因式分解后向投影 实时成像 bistatic forward-looking ground penetrating SAR FFBP real-time image formation
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参考文献12

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