L阵基于降维MUSIC的二维DOA与频率估计  

2D-DOA and frequency estimation for L-shaped array via reduced-dimensional MUSIC

作　　者：徐乐 吴日恒 张小飞[1] XU Le;WU Riheng;ZHANG Xiaofei(College of Electronic and Information Engineering,Nanjing University of Aeronautics&Astronautics,Nanjing211100,China;Information Engineering Department,Wenjing College,Yantai University,Yantai264005,China)

机构地区：[1]南京航空航天大学电子信息工程学院,江苏南京211100 [2]烟台大学文经学院信息工程系,山东烟台264005

出　　处：《系统工程与电子技术》2019年第1期1-8,共8页Systems Engineering and Electronics

基　　金：国家自然科学基金(61371169);山东省自然科学基金(ZR2016FM43);南京航空航天大学研究生创新基地(实验室)开放基金(kfjj20170412)资助课题

摘　　要：提出了一种L阵中基于降维多重信号分类(reduced-dimensional multiple signal classification,RD-MUSIC)的二维波达方向(two dimensional direction of arrival,2D-DOA)与频率联合估计算法。该算法首先通过一维局部谱峰搜索得到接收信号频率的估计,然后利用频率估计过程中得到的参数矩阵,获得信号的2D-DOA估计。与需要进行多维全局搜索的传统MUSIC算法相比,所提算法只需一维局部搜索,算法复杂度较低。该算法同时适用于均匀L阵和非均匀L阵,且能获得配对的二维角度与频率估计。其角度与频率估计性能接近于传统的MUSIC算法以及平行因子方法,且优于借助旋转不变性估计信号参数算法和传播算子算法。A reduced-dimensional multiple signal classification(RD-MUSIC)based two dimensional direction of arrival(2D-DOA)and frequency estimation algorithm for L-shaped array is proposed.The proposed method utilizes one-dimensional local spectrum-peak search to obtain the estimation of frequency,and the2D-DOA can be obtained from the parameter matrix generated during the estimation of frequency.Compared with traditional MUSIC algorithm which needs high dimensional global search,the proposed method owns much lower computational complexity with only one-dimensional local searching.Furthermore,it’s effective for both uniform and non-uniform L-shaped array and can achieve automatically paired2D-DOA and frequency estimation.In addition,the angle and frequency estimation performance of the proposed method is close to the traditional MUSIC algorithm and parallel factor method,and outperforms the estimation of signal parameters via rotational invariance techniques algorithm and the propagator method.

关 键 词：L阵 波达方向 降维多重信号分类 频率 

分 类 号：TN911.7[电子电信—通信与信息系统]