基于迭代重加权的信道估计方案  

Channel estimation algorithm based on iterative reweight

作　　者：王成敏 吴君钦[1] 方莹 汤绍春[2] 刘刚[2] 王凯[2] WANG Cheng-min;WU Jun-qin;FANG Ying;TANG Shao-chun;LIU Gang;WANG Kai(School of Information Engineering,Jiangxi University of Science and Technology,Ganzhou 341000,China;School of Communication and Information,Jiangxi Environmental Engineering Vocational College,Ganzhou 341000,China)

机构地区：[1]江西理工大学信息工程学院,江西赣州341000 [2]江西环境工程职业学院通讯与信息学院,江西赣州341000

出　　处：《计算机工程与设计》2019年第10期2736-2740,2756,共6页Computer Engineering and Design

基　　金：国家自然科学基金应急管理基金项目(61741109);国家自然科学基金青年基金项目(61501210)

摘　　要：针对传统的基于压缩感知的信道估计分辨率损失严重、精度不高问题,提出一种基于迭代重加权(iterative reweight,IR)的超分辨信道估计方案。通过部分自适应动量估计方法(partially adaptive momentum estimation method,Padam)迭代优化目标函数,使到达角/离开角(angle of arrivals/departures,AoAs/AoDs)趋向最优解,实现高分辨率信道估计。在优化过程中,使用加权参数来平衡稀疏性和数据拟合误差。仿真结果表明,与正交匹配追踪(orthogonal matching pursuit,OMP)信道估计方案、自适应码本信道估计方案相比,所提方案归一化均方误差和频谱效率等性能更优。For the traditional channel estimation based on compressed sensing,the resolution loss is serious and the estimation of channel state information is not accurate.To solve the problem,a super-resolution channel estimation based on iterative reweight(IR)was proposed.By optimizing the objective function through the Padam,the proposed scheme iteratively made the AoAs/AoDs approach towards the optimal solution,realizing the super-resolution channel estimation.In the optimization,the sparsity and data fitting errors were controlled by the weight parameter.Simulation results show that compared with OMP channel estimation scheme and adaptive code channel estimation scheme,the proposed scheme has better performance in terms of normalized mean square error and spectral efficiency.

关 键 词：毫米波(mmWave) 大规模MIMO 混合预编码 高分辨率信道估计 部分自适应动量估计方法(Padam) 

分 类 号：TN911.22[电子电信—通信与信息系统]