基于级联MUSIC的面阵中的二维DOA估计算法  

Two-dimensional DOA estimation algorithm for planar array via successive MUSIC

作　　者：蒋驰[1] 张小飞[1] 张立岑 

机构地区：[1]南京航空航天大学电子信息工程学院,江苏南京210016

出　　处：《系统工程与电子技术》2016年第2期251-258,共8页Systems Engineering and Electronics

基　　金：国家自然科学基金(61371169);江苏省博士后科研资助计划(1201039C);中国博士后科学基金(2012M521099);江苏高校优势学科建设工程资助课题

摘　　要：提出了适用于面阵中的基于级联多重信号分类(multiple signal classification,MUSIC)方法的二维波达方向(direction of arrival,DOA)估计算法。该算法仅采用级联的一维搜索即可实现二维DOA的联合估计,避免了经典二维MUSIC算法的复杂计算量,复杂度大大降低,同时角度估计性能非常接近经典二维MUSIC算法。此算法可以实现二维角度的自动配对,角度估计性能优于传播算子算法(propagator method,PM)以及借助于旋转不变技术的信号参数估计算法。同时,该算法可以很好地估计出相同方位角(或仰角)的信源。结合算法的高性能及低复杂度,该算法拥有更广泛的适用范围,其优越性得到验证。The problem of two-dimensional （2D） direction of arrival （DOA） estimation for planar array is discussed, and a successive multiple signal classification （MUSIC） algorithm therein is proposed. The proposed algorithm uses successive one-dimensional searches to achieve the joint estimation of 2D DOA. The proposed al- gorithm which requires the one-dimension local searches can avoid the high computational cost within the classi- cal 2D-MUSIC algorithm, and its estimation performance is close to the classical 2D-MUSIC algorithm perfor- mance. The proposed algorithm can obtain automatically-paired 2D DOA estimation for planar array, and it has better DOA estimation performance than the propagator method （PM） and estimation of signal parameters via the rotational invariance technique algorithm. Furthermore, it works well for the sources with the same azimuth （or elevation）. Combined with high performance and low complexity, the proposed algorithm has a broader ap- plication scope. Simulation results verify the usefulness of the proposed algorithm.

关 键 词：波达方向估计 面阵 多重信号分类 

分 类 号：TN92[电子电信—通信与信息系统]