基于MLBF的毫米波双站SAR前视Omega-k成像算法

发布时间：2018-06-30 22:00

本文选题：双站合成孔径雷达 + 前视成像　；参考：《红外与毫米波学报》2017年04期

【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]:Combined with millimeter-wave system and bistatic millimeter-wave synthetic aperture radar (SAR) forward imaging technology, the research of millimeter-wave bistatic SAR forward imaging algorithm is carried out. In the bistatic SAR forward imaging system, the large forward angle of view introduces the Doppler centroid migration and the serious range migration, so the conventional bistatic SAR imaging algorithm can not be directly transplanted to the bistatic SAR forward imaging. In order to solve the above problems, an improved LoffeldsBistatic Formula (MLBF) two-dimensional spectrum solution based on instantaneous Doppler analysis is proposed in this paper. Compared with the existing methods, this method can obtain the 2-D spectrum of bistatic SAR forward echo more accurately. The Omega-k algorithm for millimeter-wave bistatic SAR forward imaging is derived, and the effectiveness and superiority of the proposed algorithm are verified by simulation experiments.
【作者单位】：南京理工大学电子工程与光电技术学院;
【基金】：江苏省自然科学基金(BK20160847) 国家自然科学基金(61471198)~~
【分类号】：TN957.52

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