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 iterative 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 converted 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 experimental results.

TN957.5

国家自然科学基金资助项目