面向毫米波大规模极化敏感阵列的多径信号二维快速测向算法  

Multi-path 2-D Fast Direction Finding Algorithm for Millimeter Wave Large-scale Polarized Sensitive Array

作　　者：张喆[1,2] 文方青 师俊朋 ZHANG Zhe;WEN Fangqing;SHI Junpeng(Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering,China Three Gorges University,Yichang 443002,China;College of Computer and Information Technology,China Three Gorges University,Yichang 443002,China;College of Electronic Countermeasure,National University of Defense Technology,Hefei 230037,China)

机构地区：[1]三峡大学水电工程智能视觉监测湖北省重点实验室,湖北宜昌443002 [2]三峡大学计算机与信息学院,湖北宜昌443002 [3]国防科技大学电子对抗学院,安徽合肥230037

出　　处：《移动通信》2023年第2期15-20,共6页Mobile Communications

基　　金：国家自然科学基金(62271286)。

摘　　要：作为B5G/6G的可能发展方向之一,毫米波大规模敏感阵列拥有诸多潜在的优势,如能提供高分辨率的二维波达角(2D-DOA)估计、可以实现极化保密通信等。关注极化敏感阵列中的相干源2D-DOA估计问题,提出了一种基于矩阵重排的快速估计方法。首先利用矩阵重排解决矩阵秩亏问题,再利用传播算子(PM)进行高效测向,并给出了算法相关性能的理论分析,包括计算复杂度、可辨识性和Cramer-Rao界。最后,通过仿真结果验证了所提算法的有效性。As one of the possible development directions for B5G/6G,millimeter wave large-scale sensitive array has many potential advantages,for instance,providing super-resolution two-dimensional direction-of-arrival(2D-DOA)estimation and realizing polarized secure communications.For the 2D-DOA estimation issue of coherent sources in polarized sensitive array,a matrix rearrangement-based fast estimation algorithm is proposed.It first solves the rank-deficient issue via matrix rearrangement,and performs efficient direction finding via PM.Then the theoretical analysis of the related algorithm performances including computational complexity,discriminability,and Cramer-Rao bound.Finally,the effectiveness of the proposed algorithm is verified via simulations.

关 键 词：毫米波大规模极化敏感阵列 相干信源 矩阵重排 传播算子 

分 类 号：TN91[电子电信—通信与信息系统]