基于频率不变性的改进MUSIC算法的DOA估计  

DOA Estimation of Improved MUSIC Algorithm Based on Frequency Invariance

作　　者：王敏 张骄 WANG Min;ZHANG Jiao(School of Physics and Electronics Engineering,Shanxi University,Taiyuan 030006.China)

机构地区：[1]山西大学物理电子工程学院,山西太原030006

出　　处：《山西大学学报（自然科学版）》2022年第4期1030-1035,共6页Journal of Shanxi University(Natural Science Edition)

基　　金：山西省高校科技创新项目(2019L0111)。

摘　　要：针对传统的波达方向估计(DOA)精度较低的问题,文章提出了一种基于频率不变性的改进多重信号分类方法(Multiple Signal Classification,MUSIC)的算法。该算法利用均匀同心圆阵列先将阵列接收到的数据进行预处理,再使用本文中所提出的改进的MUSIC算法来估计波达方向。改进MUSIC算法是在传统MUSIC算法的原噪声子空间的基础上,依次向信号子空间多取一个特征向量,形成一系列的子空间,加入原来的空间谱估计公式当中,构成新的空间谱估计公式。仿真结果表明,使用改进的MUSIC算法得到的空间谱图的波峰值比传统MUSIC算法增大了85.47 dB,提高了系统的分辨率。In order to solve the problem of low accuracy of traditional direction of arrival(DOA)estimation,this paper introduces an improved Multiple Signal Classification(MUSIC)algorithm based on frequency invariance.The algorithm uses uniform concentric circle array to preprocess the data received by the array,and use the improved MUSIC algorithm proposed in this paper to estimate the directions of the signals.Based on the original noise subspace of the traditional MUSIC algorithm,the improved MUSIC algorithm successively takes an additional eigenvector from the signal subspace to form a series of subspaces,which are added to the original spatial spectrum estimation formula to form a new spatial spectrum estimation formula.The simulation results show that the peak value of the spatial spectrum obtained by the improved MUSIC algorithm is 85.47 dB larger than that of the traditional MUSIC algorithm,and the resolution of the system is improved.

关 键 词：频率不变性 改进MUSIC算法 均方根误差 波达方向估计 噪声子空间 

分 类 号：TN820.1[电子电信—信息与通信工程]