庞礴, 王雪松, 代大海, 邢世其, 李永祯. 基于数字波束锐化的高速前视合成孔径雷达成像算法[J]. 电波科学学报, 2014, 29(1): 92-98. doi: 10.13443/j.cjors.2013030401
      引用本文: 庞礴, 王雪松, 代大海, 邢世其, 李永祯. 基于数字波束锐化的高速前视合成孔径雷达成像算法[J]. 电波科学学报, 2014, 29(1): 92-98. doi: 10.13443/j.cjors.2013030401
      PANG Bo, WANG Xuesong, DAI Dahai, XING Shiqi, LI Yongzhen. Imaging algorithm of high velocity forward-looking SAR based on digital beam sharpening[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2014, 29(1): 92-98. doi: 10.13443/j.cjors.2013030401
      Citation: PANG Bo, WANG Xuesong, DAI Dahai, XING Shiqi, LI Yongzhen. Imaging algorithm of high velocity forward-looking SAR based on digital beam sharpening[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2014, 29(1): 92-98. doi: 10.13443/j.cjors.2013030401

      基于数字波束锐化的高速前视合成孔径雷达成像算法

      Imaging algorithm of high velocity forward-looking SAR based on digital beam sharpening

      • 摘要: 针对目前前视合成孔径雷达(Synthetic Aperture Radar,SAR)成像算法都基于平台前向运动速度较低,无法应用于高速运动平台的问题,以单发多收的机载前视SAR系统为研究对象,分析了高速前视SAR的空间几何模型和回波信号模型,提出了一种适合于高速前视SAR的多普勒波束锐化(Digital Beam Sharpening,DBS)成像算法.同时,为了解决高速运动带来的成像模糊问题,提出了相应的距离徙动校正方案,显著提高了DBS算法的成像质量.最后,模拟了点目标阵列的前视SAR回波数据,并利用所提出的算法进行了成像.成像结果验证了算法的有效性.

         

        Abstract: Aiming at the problem that existing imaging algorithms of forward-looking synthetic aperture radar(SAR)which is all based on the situation that the platform is moving in low velocity,and thus can not be applied to platform of high velocity,taking airborne forward-looking SAR system using single transmitting and multiple receiving antennas as the research object,the model of spatial geometry and echo signal of high velocity forward-looking SAR is analyzed and the digital beam sharpening(DBS)imaging algorithm which is suitable for high velocity forward-looking SAR is proposed.Meanwhile,in order to solve the imaging problem brought by high velocity,corresponding range migration correction scheme is proposed,and imaging quality of DBS algorithm is remarkably improved after correction.Finally,the raw echo data of an array of point targets is simulated,and the focused images are obtained using the proposed algorithm.Imaging results demonstrate the validity of the algorithm.

         

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