论文部分内容阅读
多输入多输出(MIMO)雷达需要对距离、角度和Doppler频率等参数的精确估计。迭代自适应(IAA)算法仅利用单个快拍便可实现MIMO雷达的高分辨参数估计,然而使用IAA联合估计距离、角度和Doppler频率三维参数的运算量很大。该文提出一种快速IAA算法,将联合估计IAA算法简化为三级级联处理,先进行距离IAA估计,然后对存在目标的距离单元进行角度IAA估计,最后在存在目标的距离-角度单元内进行Doppler频率IAA估计,即通过降维处理得到了快速IAA算法。仿真表明:快速IAA算法在基本保持IAA算法性能的同时大大降低了运算量。
Multiple Input Multiple Output (MIMO) Radars require accurate estimates of parameters such as distance, angle, and Doppler frequency. Iterative Adaptive (IAA) algorithm uses only a single snapshot to achieve high-resolution MIMO radar parameter estimation, but the use of IAA joint estimation of distance, angle and Doppler frequency of three-dimensional parameters of a large amount of computation. In this paper, a fast IAA algorithm is proposed, which simplifies the joint estimation IAA algorithm into three-level cascade processing. First, the distance IAA is estimated, and then the IAA of the target distance unit is estimated. Finally, within the distance-angle unit The IAA estimation of Doppler frequency is carried out, that is, the fast IAA algorithm is obtained through the dimension reduction processing. The simulation results show that the fast IAA algorithm can greatly reduce the computational complexity while maintaining the performance of the IAA algorithm.