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基于均匀圆阵伪协方差矩阵的单快拍测向方法
引用本文:汪鹏,熊钊,于俊鹏,田勇,李万春.基于均匀圆阵伪协方差矩阵的单快拍测向方法[J].系统工程与电子技术,2021,43(10):2812-2818.
作者姓名:汪鹏  熊钊  于俊鹏  田勇  李万春
作者单位:电子科技大学信息与通信工程学院, 四川 成都 611731
基金项目:国家自然科学基金(61971103)
摘    要:传统的单快拍测向算法只适用于具有Vandermonde形式的阵列流型, 均匀圆阵的阵列流型不具有Vandermonde矩阵结构, 因此大部分基于线阵的伪协方差矩阵的构造方法无法直接适用于均匀圆阵。针对该问题, 从侦察方的角度对波达方向(direction of arrival, DOA)估计算法进行了研究, 改进了伪协方差矩阵的构造方法, 提出了一种基于均匀圆阵的单快拍测向算法。通过与模式空间前后向平滑(mode forward-backward spatial smoothing, MODE-FBSS)算法的对比仿真, 验证了算法的有效性, 证实了所提方法的性能优于MODE-FBSS算法。

关 键 词:伪协方差矩阵  均匀圆阵  单快拍  空间平滑  
收稿时间:2020-08-03

Single snapshot direction finding method with pseudo-covariance matrix based on uniform circular arrays
Peng WANG,Zhao XIONG,Junpeng YU,Yong TIAN,Wanchun LI.Single snapshot direction finding method with pseudo-covariance matrix based on uniform circular arrays[J].System Engineering and Electronics,2021,43(10):2812-2818.
Authors:Peng WANG  Zhao XIONG  Junpeng YU  Yong TIAN  Wanchun LI
Institution:School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Abstract:The traditional single snapshot direction finding algorithm is only applicable to the array manifold with Vandermonde form. And the array manifold of uniform circular array does not have Vandermonde matrix structure, so that most methods of constructing pseudo-covariance matrix which are suitable for linear array, cannot be directly used to solve the related problems based on uniform circular array. To solve this problem, the direction of arrival (DOA) estimation algorithm from the scout's point of view is studied, the method of constructing pseudo-covariance matrix is improved, and a single snapshot direction finding algorithm based on uniform circular array is proposed. Compared with the mode forward-backward spatial smoothing (MODE-FBSS) method, the simulation results show that the algorithm is effective and the performance of the proposed method is better than that of the MODE-FBSS method.
Keywords:pseudo-covariance matrix  uniform circular array  single snapshot  spatial smoothing  
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