针对米波多输入多输出(Multiple Input Multiple Output,MIMO)雷达在反射面高度未知情况下对低空目标测角困难的问题,该文提出一种基于缩放字典的目标仰角估计算法。该算法不依赖反射面高度信息,在同时考虑发射多径和接收多径的情况下,通过构造包含目标参数的自适应字典,以最大化匹配滤波输出的回波数据与字典原子相关系数为估计准则,利用缩放字典逐层逼近的方法交替完成对目标参数的估计和对参数化字典的更新,最终实现了对目标仰角及高度的估计。仿真实验表明了该算法的有效性。
The issue of Direction-Of-Arrival(DOA) estimation in low-angle tracking environment for Very High Frequency(VHF) MIMO radar is investigated in this paper. Under the condition of the reflecting surface height is unknown, an algorithm for the target elevation estimation is proposed. The algorithm is based on the criterion of maximizing the correlation coefficient of target echo and the atoms of a given dictionary, where the dictionary grids can be iteratively refined to estimate the parameters more precisely. The simulation results indicate the effectiveness of the algorithm.