基于四阶累积量的MUSIC算法性能仿真分析  

Performance simulation analysis of MUSIC algorithm based on fourth-order cumulants

作　　者：李丹宁 石和平 曹继华[1] 任洁 LI Danning;SHI Heping;CAO Jihua;REN Jie(School of Electronic Engineering,Tianjin University of Technology and Education,Tianjin 300222,China;School of Automobile and Transportation,Tianjin University of Technology and Education,Tianjin 300222,China)

机构地区：[1]天津职业技术师范大学电子工程学院,天津300222 [2]天津职业技术师范大学汽车与交通学院,天津300222

出　　处：《天津职业技术师范大学学报》2022年第3期53-57,共5页Journal of Tianjin University of Technology and Education

基　　金：天津市教委科研计划项目(2021KJ016).

摘　　要：介绍了空间谱估计中四阶累积量矩阵的阵列信号处理方法原理。对结合四阶累积量的MUSIC算法与传统MUSIC算法进行了MATLAB仿真比较,并在多信源数的信号环境中进行了DOA估计。同时,在不同阵元间距、快拍数和信噪比条件下,对四阶累积量MUSIC算法的估计性能进行了仿真分析。结果表明,该算法阵列能力较强,并能有效抑制高斯噪声。实验结果为该算法在今后仿真实验参数的选取方面提供了参考。This paper introduces the principle of the array signal processing method with a fourth-order cumulant matrix in spatial spectral estimation.The comparison of Matlab simulations was conducted between the fourth-order cumu-lative MUSIC and the conventional MUSIC algorithms,and the DOA estimation was implemented in a signal environment with multiple source numbers.Meanwhile,the estimation performance of the fourth-order cumulative MUSIC algorithm was simulated and analyzed under different array spacing,snapshot number,and signal-to-noise ratio conditions.The results show that the algorithm has a strong array capability and can effectively suppress Gaussian noise.And the experimental results provide a reference for the algorithm in the selection of parameters for future simulation experiments.

关 键 词：DOA估计 四阶累积量 MUSIC算法 阵列扩展 

分 类 号：TN911.23[电子电信—通信与信息系统]