一种基于高阶累积量的信号频率和到达角联合估计算法

摘要

In this paper,A new cumulants-based method for the joint estimations of frequencies and 2D-DOAs of spatial signals are dicussed. After analysing the model of data and the virtual-ESPRIT,the authors use PRO-ESPRIT to estimate the parameters of signals based on VESPA.This method utilized the capability of cumulant of aperture extension and insensitivity to additive colored Gaussian noise.M-i signals can be processed by this method with M sensors without searching procedure. The simulations demonstrate the effectiveness of the method.%该文研究了一种基于高阶累积量的信号频率和二维到达角联合估计算法.在分析了数据模型和M.C.Dogan等人提出的算法—VESPA之后，本文给出了PRO—ESPRIT方法求解的VESPA.这一方法继承了高阶累积量抑制色高斯噪声的能力以及阵列虚拟扩展能力，用M个阵元的阵列可以分辨M-1个空间信号，同时还可以实现信号频率和到达角的联合估计.数值仿真结果证实了算法的有效性.