单基地MIMO雷达降维酉ESPRIT算法  

Reduced-dimensional unitary ESPRIT algorithm for monostatic MIMO radar

作　　者：文才[1] 王彤[1] 

机构地区：[1]西安电子科技大学雷达信号处理国家重点实验室,陕西西安710071

出　　处：《系统工程与电子技术》2014年第6期1062-1067,共6页Systems Engineering and Electronics

基　　金：国家自然科学基金(61101241;61372133);中央高校基本科研业务费专项资金(K50511020008)资助课题

摘　　要：波达方向(direction of arrival,DOA)估计问题是单基地多输入多输出(multiple input multiple output,MIMO)雷达信号处理中的一个关键问题。在低信噪比、低快拍数的情况下,常规DOA估计算法的性能会严重下降。针对此问题,提出一种新的DOA估计算法:降维酉旋转不变性信号参数估计技术算法。该算法首先通过降维变换将MIMO雷达数据变换至低维信号空间,然后在该低维信号空间构造实值旋转不变性方程估计目标的DOA。仿真结果表明该方法能够在低信噪比、低快拍数的环境下获得较常规ESPRIT方法更高的DOA估计精度,同时具有更低的运算量。Direction of arrival （DOA）estimation is an important issue in monostatic multiple input multipleoutput （MIMO）radar signal processing.For conventional DOA estimation methods,performance degradation occurs with low signal-to-noise ratio and small samples.A novel DOA estimation method called reduced-dimensional unitary estimation of signal parameters via rotational invariance technique （ESPRIT）is proposed.Firstly,the received data is transformed into a low dimensional signal space via the reduced-dimensional transformation.Then,the real-valued rotational invariance equations for the low dimensional signal subspace are constructed to estimate DOAs. Numerical examples are given to demonstrate that the proposed algorithm can provide increased DOA estimation accuracy and reduced computational complexity compared with the conventional ESPRIT algorithms.

关 键 词：多输入多输出雷达 波达方向估计 降维变换 酉旋转不变性信号参数估计技术 

分 类 号：TN958[电子电信—信号与信息处理]