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作 者:刘明杰 吴迪[1] 任凌云 张劲东[1] LIU Mingjie;WU Di;REN Lingyun;ZHANG Jindong(College of Electronic and Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing Jiangsu 211100,China)
机构地区:[1]南京航空航天大学电子信息工程学院,江苏南京211100
出 处:《现代雷达》2023年第5期58-65,共8页Modern Radar
基 金:国家自然科学基金资助项目(62171220)。
摘 要:针对距离-多普勒二维高副瓣严重影响强目标附近弱目标的高精度提取,现有方法对非网格目标提取效果不佳等问题,提出了一种基于二维回波数据的距离-多普勒副瓣快速迭代抑制算法。在迭代最小均方误差框架下,该方法基于网格化后的二维回波数据自适应地为每个距离-多普勒单元估计最佳权矢量,同时将同一距离门不同多普勒单元协方差矩阵的求逆转化为同一距离单元协方差矩阵的求逆,在不牺牲精度和检测性能的条件下大大降低了计算复杂度。仿真和实测数据验证了文中方法的有效性。High range-Doppler sidelobe interference may severely deteriorate the accurate detectability of weak targets near strong targets,and the performance for non-grid targets is not considered in the existing algorithms.To solve these problems,a fast iter-ative range-Doppler sidelobe suppression algorithm based on two-dimensional echo is proposed in this paper.Under the reiteration minimum mean square error framework,the optimal weight vectors are estimated adaptively for each range-Doppler cell based on the gridded two dimensional echo.Besides,the inverse covariance matrix of different Doppler cells in the same range bin is con-verted to inverse covariance matrix of a certain range cell,which can significantly reduce the computational complexity without losing any accuracy and detection performance.The effectiveness of the proposed algorithm is validated by simulation and experi-mental results.
关 键 词:二维回波数据 自适应迭代算法 最小均方误差准则 二维旁瓣抑制
分 类 号:TN957.5[电子电信—信号与信息处理]
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