二维MUSIC算法分维处理及其阵列结构的研究

基于阵列接收信号相关矩阵特征结构的谱估计方法是信号参数测量的主要方法之一。随着应用研究的不断深入,对信号的二维参数进行测量的要求日益迫切。针对目前多信号环境下二维DOA参数测量问题,对二维MUSIC算法分维处理中的参数配对耦合问题进行了分析,得出了耦合阵列结构的特征,即二维MUSIC算法分维处理中,耦合的产生与否由阵列的横坐标矢量与纵坐标矢量的线性相关性决定。该特征表明,传统的平面阵列存在着较大的阵元冗余。在此基础上,提出了无冗余的配对阵列。同时,提出了解耦合的F型阵列结构和分维搜索方式,进一步减少二维参数测量的阵元冗余。与现有的二维DOA参数测量方法相比,在计算量、阵元利用率和测量精度等方面性能突出。通过仿真,表明了算法和阵列结构的有效性。

A Study of Decoupling 2D-MUSIC Algorithm and Array Structure

The spectrum estimation method which is based on the eigenstructure of array signal correlation matrix is one of the main parameter estimation methods.With the deep-going research in application,the requirement for two dimensions parameters estimations becomes more and more urgent.In this paper,the dimension-separated coupling problem in 2D-MUSIC algorithm is discussed.Though the discussion,the characteristic of coupling array which is decided by the linear correlation between horizontal axis vector and vertical axis vector of array is obtained.And the characteristic shows that larger sensor redundancy exists in the traditional planar array.On the basis of this,An F-shaped array for 2D-DOA estimation is presented,with which,the decoupling 2D-MUSIC algorithm in the dimension-separated manner is implemented.Though analysis and simulation,and in comparison with other algorithms,this algorithm is less in computation load,higher in precision and sensor utilization rate.