红外与毫米波学报, 2017, 36 (4): 490, 网络出版: 2017-10-12
基于MLBF的毫米波双站SAR前视Omega-k成像算法
AOmega-k algorithm based on MLBF for millimeter wave bistatic forward-looking SAR imaging
双站合成孔径雷达 前视成像 Omega-k算法 bistatic SAR forward-looking imaging modified Loffeld's Bastatic Formula (MLBF) MLBF Omega-k algorithm
摘要
结合毫米波体制和双站毫米波合成孔径雷达(SAR)前视成像技术, 开展毫米波双站SAR前视成像算法的研究.在双站SAR前视成像系统中, 较大的前视角引入了多普勒质心偏移和严重的距离徙动, 因此普通双站SAR的成像算法无法直接移植到双站SAR前视成像中.针对以上问题, 论文首先提出了一种基于瞬时多普勒分析的改进Loffeld's Bistatic Formula (MLBF)二维频谱求解方法, 相比于现有方法, 该方法能更准确的得到双站SAR前视回波信号的二维频谱.在此基础上又推导出了适用于毫米波双站SAR前视成像的Omega-k算法; 最后通过仿真实验, 验证了提出算法的有效性和优越性.
Abstract
This paper combines millimeter-wave and bastatic forward-looking synthetic aperture radar (BFSAR) techniques, carrying out the research of imaging algorithms for millimeter-wave BFSAR. However, imaging algorithms for BFSAR are the difficulties in this study. Due to the special forward-looking geometry, imaging algorithms for bistatic SAR can not be applied to BFSAR directly. So, this paper proposes a modified Loffeld's Bistatic Formula (MLBF). The new method compared with other extended Loffeld's Bistatic Formula (ELBF) can obtain a bistatic point target reference spectrum, which is accurate enough for bistatic forward-looking configuration. Then, an Omega-k algorithm based on the reference spectrum is derived. Finally, simulations validate the accuracy of the MLBF method and the effectiveness of the Omega-k imaging algorithm.
马超, 张小虎, 杨建超, 顾红, 苏卫民. 基于MLBF的毫米波双站SAR前视Omega-k成像算法[J]. 红外与毫米波学报, 2017, 36(4): 490. MA Chao, ZHANG Xiao-Hu, YANG Jian-Chao, GU Hong, SU Wei-Min. AOmega-k algorithm based on MLBF for millimeter wave bistatic forward-looking SAR imaging[J]. Journal of Infrared and Millimeter Waves, 2017, 36(4): 490.