为了解决可重构智能表面(Reconfigurable Intelligent Surface,RIS)辅助的多用户毫米波通信系统中级联信道的信道估计问题,提出了一种新的基于压缩感知(Compressive Sensing,CS)的两阶段级联信道估计方案,该方案在传统的压缩感知信道估计上引入级联信道双时间尺度性质和行列稀疏邻近结构,同时利用信道特性和双结构正交匹配追踪算法(Double-Structured Orthogonal Matching Pursuit,DS-OMP)在节约导频开销的同时也提高了信道估计的精度和性能.通过仿真分析各变量对所提方案归一化均方误差(Normalized Mean Square Error,NMSE)的影响,相较于传统基于压缩感知的信道估计算法,所提方案具有较好性能,同时有较小的导频开销.
A reconfigurable intelligent surface assisted multi-user channel estimation scheme in millimeter wave communication systems
In order to solve the channel estimation problem of cascade channels in multi-user millimeter wave communication systems assisted by reconfigurable intelligent surface(RIS),a new two-stage cascade channel estimation scheme based on compressed sensing(CS)is proposed.This scheme introduces the dual time scale property of cascade channel and row column sparse adjacent structure in the traditional compressed sensing channel estimation.Plus,the channel characteristics and the double structured orthogonal matching pursuit(DS-OMP)algorithm are used to save the pilot overhead and improve the accuracy and performance of the channel estimation.Through the simulation results,the influence of each parameter on the normalized mean square error(NMSE)of the proposed scheme is analyzed.Compared with the traditional channel estimation algorithm based on compressed sensing,the proposed scheme has better performance and less pilot overhead.
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