系统工程与电子技术 ›› 2019, Vol. 41 ›› Issue (1): 1-8.doi: 10.3969/j.issn.1001-506X.2019.01.01

• 电子技术 • 上一篇    下一篇

L阵基于降维MUSIC的二维DOA与频率估计

徐乐, 吴日恒, 张小飞   

  1. 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
  • 出版日期:2018-12-29 发布日期:2018-12-24

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

XU Le1, WU Riheng2, ZHANG Xiaofei1   

  1. 1. College of Electronic and Information Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 211100, China; 2. Information Engineering Department, Wenjing College, Yantai University, Yantai 264005, China
  • Online:2018-12-29 Published:2018-12-24

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。

Abstract: 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 the 2D-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 paired 2D-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.