基于角度修正的频率和波达方向联合估计  

Joint Estimation of Frequency and Direction of Arrival Based on Angle Correction

作　　者：陶春贵 王松 郭兰英 徐争元 TAO Chungui;WANG Song;GUO Lanying;XU Zhengyuan(School of Medical Imaging,Wannan Medical College,Wuhu Anhui,241002;College of Computer and Information,Hohai University,Nanjing Jiangsu,211100)

机构地区：[1]皖南医学院医学影像学院,安徽芜湖241002 [2]河海大学计算机与信息学院,江苏南京211100

出　　处：《山西大同大学学报（自然科学版）》2024年第4期63-68,共6页Journal of Shanxi Datong University(Natural Science Edition)

基　　金：安徽省教育厅自然科学重点项目[2023AH051760];校级中青年项目[WK2023ZQNZ04]。

摘　　要：为实现相干密集信号的频率和波达方向估计,用参考频率替代真实频率,构建了一种降维稀疏字典,利用压缩感知理论,实现频率和波达方向联合估计;同时针对低信噪比、少快拍数、含有相干信号的复杂场景,给出一种利用SVD优化的方法。通过仿真发现所提算法及其优化算法,可对密集相干信号进行精确的频率和波达方向估计,提高了算法在低信噪比条件下的性能,更加适用于低信噪比、少快拍数场景。To achieve frequency and direction-of-arrival(DOA)estimation for coherent dense signals,a dimensionality-reduced sparse dictionary is constructed by substituting the reference frequency for the actual frequency.Utilizing the theory of compressed sensing,the joint estimation of frequency and direction-of-arrival is realized.Additionally,an SVD-optimized method is proposed for complex scenes involving low signal-to-noise ratio,few snapshots,and coherent signals.Simulations reveal that the algorithm proposed in this paper and its optimized version can accurately estimate the frequency and DOA of dense coherent signals.Compared to the original algorithm,the optimized algorithm improves performance under low signal-to-noise ratio conditions,more suitable for the scene of low signal-to-noise ratio and less snapshots.

关 键 词：频率 波达方向 压缩感知 联合估计 

分 类 号：TN821[电子电信—信息与通信工程]