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作 者:廖可非 刘扬[1] 欧阳缮 LIAO Kefei;LIU Yang;OUYANG Shan(School of Information and Communication Engineering,Guilin University of Electronic Technology,Guilin 541004,China;Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing,Guilin University of Electronic Technology,Guilin 541004,China)
机构地区:[1]桂林电子科技大学信息与通信学院,广西桂林541004 [2]桂林电子科技大学卫星导航定位与位置服务国家地方联合工程研究中心,广西桂林541004
出 处:《桂林电子科技大学学报》2020年第4期270-273,共4页Journal of Guilin University of Electronic Technology
基 金:国家自然科学基金(61701128);广西自然科学基金(2017GXNSFBA198032);广西重点研发计划(AD18281061);桂林电子科技大学研究生创新计划(2019YCXS018)。
摘 要:为了解决复杂目标特定观测角度下回波不相参,进而影响基于成像的雷达散射截面积(RCS)测量精度的问题,基于三维后向投影(BP)算法,提出了一种基于子阵列自适应成像的目标RCS测量方法。该方法通过设置一个互相关系数,将全(虚拟)阵列自适应划分为若干个子阵列,对每个子阵列的回波数据分别成像并反演RCS,将所有的RCS曲线拼接,得到完整的RCS曲线。经仿真数据验证,该方法效果良好,可以改善计算得到RCS曲线的均值与方差。When measuring complex targets at specific angles,a phase incoherence problem exists in the echo and will affect the precision of RCS measurements.To solve this problem,an RCS measurement method based on adaptive subarray imaging,which can increase the precision of RCS measurements is proposed.By setting a cross-correlation coefficient,this method adaptively divides the whole virtual array into several subarrays.With the help of imaging and inversion,the RCS curve corresponding to every subarray can be calculated.The whole RCS curve is obtained by splicing all RCS curves.A comparison between the imaging precision of a full-array imaging method and the proposed method is obtained,and the simulation results show that the measured RCS using this method is better than RCS measured by full-array imaging.
分 类 号:TN953[电子电信—信号与信息处理]
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