基于快速IAA算法的MIMO雷达参数估计  

MIMO radar parameter estimation based on a fast IAA algorithm

作　　者：孙培林[1] 汤俊[1] 唐波[2] 

机构地区：[1]清华大学电子工程系,北京100084 [2]解放军电子工程学院,合肥230037

出　　处：《清华大学学报（自然科学版）》2012年第9期1244-1248,共5页Journal of Tsinghua University(Science and Technology)

基　　金：国家自然科学基金资助项目(20094010040);清华大学自主科研基金资助(20101081772);国家部委重点基金(9140A07020212JW0101)

摘　　要：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） radar needs accurate estimates of the range, angle and Doppler frequency. The iterative adaptive approach （IAA） algorithm can use a single snapshot to accurately estimate the parameters in MIMO radar. However, the IAA algorithm is quite complex for joint estimation of the range, angle and Doppler frequency. This paper presents a fast IAA algorithm that divides the estimation into cascaded estimates. The range is estimated first and then the angle is estimated in the range ceils as existing IAA targets. Finally, the Doppler frequency is measured in the range angle cells which contain targets using the results of the range and angle IAA. Simulations show that the fast IAA algorithm gives almost the performance as the original IAA with much less complexity.

关 键 词：侦测雷达 多输入多输出(MIMO)雷达 参数估计 快速迭代自适应(IAA)算法 

分 类 号：TN959.1[电子电信—信号与信息处理]