基于SAR成像的FBP算法、FFBP算法三维快速重建  

Three-dimensional rapid reconstruction of FBP algorithm and FFBP algorithm based on SAR imaging

作　　者：潘丰 王文静 孟祥新 方财义 Pan Feng;Wang Wenjing;Meng Xiangxin;Fang Caiyi(Brainware Terahertz Information Technology Co.,Ltd.,Hefei 230088,China)

机构地区：[1]博微太赫兹信息科技有限公司,合肥230088

出　　处：《电子测量技术》2020年第4期153-158,共6页Electronic Measurement Technology

摘　　要：后向投影(BP)算法,具有成像精确高、易于补偿等优点,适用于任何成像方式,近年来广泛应用于雷达成像领域。但由于三维成像的运算量大,比较耗时,严重影响了实时成像的效率。在极坐标条件下,快速后向投影(FBP)算法和快速因式分解后向投影(FFBP)算法,利用子孔径划分的方式进行成像,一定程度上解决了实时成像的问题。对比分析了BP算法、FBP算法、FFBP算法3种算法的单点目标分辨率,结果基本一致,从而验证算法的有效性。进一步,对多点目标仿真和实测数据成像结果的分析表明:FFBP算法、FBP算法与BP算法相比,可以提高计算效率,适用于三维实时近场成像系统,更好地应用于人体安检领域。The backward projection(BP) algorithm has the advantages of accurate imaging and easy compensation, and is suitable for any imaging method. In recent years, it has been widely used in the field of radar imaging. However, due to the large amount of computation of the three-dimensional imaging, it is time consuming and seriously affects the efficiency of real-time imaging. In the polar coordinate condition, the fast back-projection(FBP) algorithm and the fast factorization back-projection(FFBP) algorithm use sub-aperture division to image, which solves the problem of real-time imaging to some extent. In this paper, the single point target resolutions of BP algorithm, FBP algorithm and FFBP algorithm are compared and analyzed, and the results are basically the same, which verifies the effectiveness of the algorithm. Furthermore, the analysis of the multi-point target simulation and the measured data imaging results shows that the FFBP algorithm and the FBP algorithm can improve the computational efficiency compared with the BP algorithm, and are suitable for the three-dimensional real-time near-field imaging system, and are better applied to the field of human security inspection.

关 键 词：合成孔径雷达 三维极坐标系 快速后向投影算法 快速因式分解后向投影算法 

分 类 号：TN951[电子电信—信号与信息处理]