加权最小二乘法和MUSIC法联合测向技术研究  

Research on Direction Finding Technique Based on the Combination of Weighted Least Squares Method and MUSIC Algorithm

作　　者：朱国辉 汪洋[1] 米胜男 ZHU Guohui;WANG Yang;MI Shengnan(Key Laboratory of Aperture Array and Space Application,The 38th Research Institute of China Electronics Technology Group Corporation,Hefei 230088,China)

机构地区：[1]中国电子科技集团公司第三十八研究所孔径阵列和空间探测安徽省重点实验室

出　　处：《雷达科学与技术》2019年第3期319-323,334,共6页Radar Science and Technology

基　　金：总装备部预研基金(No.41415010101)

摘　　要：针对传统相位干涉仪测向法精度不高和MUSIC算法空间谱峰搜索耗时长的问题,提出了一种基于加权最小二乘法和MUSIC算法相结合的均匀圆阵测向技术。首先根据阵列短基线组求解相位模糊,并通过引入中间变量将相位差测量方程转化为线性方程组,然后运用加权最小二乘法对其进行求解,并利用信号到达角与中间变量的关系得到信号到达角初始估计,最后MUSIC算法依据信号到达角初始估计进行空间谱峰搜索,得到高精度信号到达角估计。仿真实验对比了所提方法与现有相位干涉仪及MUSIC算法的角度估计精度和耗时,证实了所提方法的正确性和有效性。For the problems of low direction finding accuracy in traditional phase interferometer method and the long time consuming in the spatial spectrum peak search process in MUSIC algorithm,this paper proposes a uniform circular array direction finding technique based on the combination of weighted least squares(WLS)method and MUSIC algorithm.First,we utilize the short baselines to solve the phase ambiguity and rearrange the phase difference measurement equations into a set of linear ones through introducing two intermediate variables.Then the WLS method is used to solve the linear equations and the initial estimates of signal direction of arrival(DOA)are obtained by exploiting the relationships between the DOA and intermediate variables.Finally,the MUSIC algorithm performs the spectrum peak search process to achieve high accuracy DOA estimation on the basis of the initial estimates.Simulation study compares the DOA estimation accuracy and the execution time of the proposed method with the available phase interferometer method and MUSIC algorithm,and validates the correctness and effectiveness of the proposed method.

关 键 词：测向 圆阵 相位干涉仪 加权最小二乘法 MUSIC算法 

分 类 号：TN957[电子电信—信号与信息处理] TN971.1[电子电信—信息与通信工程]