摘要
考虑面阵中的二维波达方向(DOA)估计问题,提出了一种基于传播算子(PM)的二维DOA估计算法。该算法利用4个子面阵接收数据的互相关矩阵构造新的数据矩阵,利用线性运算代替特征分解得到旋转不变关系矩阵,由该关系矩阵得到方位角与俯仰角的参数估计。所提算法的波达方向估计性能优于传统的面阵二维ESPRIT算法,且降低了计算复杂度,提高了阵列接收数据的利用率和算法的抗干扰能力。算法可以实现二维角度的自动配对。仿真实验证明了算法的有效性。
The problem of two-dimensional（2-D）Direction Of Arrival（DOA）is discussed for the planar array, and an algorithm using Propagator Method（PM）is proposed. The method constructs a new data matrix with correlation matrices of four sub-arrays in the planar array. Eigen-decomposition of the new data matrix is replaced by a linear operator to get the rotational invariance matrix, and then the estimation of azimuth and elevation are calculated. DOA estimation performance of the new method is better than the ESPRIT algorithm. Computational complexity is reduced, the utilization of receiving data and anti-interference ability is higher. In addition, the proposed algorithm can obtain automatically-paired2 D DOA estimation. Simulation results verify the validity of the proposed method.
出处
《计算机工程与应用》
CSCD
北大核心
2017年第22期35-39,60,共6页
Computer Engineering and Applications
基金
教育部留学回国人员基金(No.bj206004)
关键词
阵列信号处理
面阵
二维DOA估计
传播算子
自动配对
arraysignalprocessing
planararray
two-Dimensional （2-D）DOAestimation
PropagatorMethod （PM）
automatically-paired
