摘要
针对现有微波通信系统的信道估计理论不能直接应用于毫米波通信系统的问题,利用毫米波信道的稀疏特性,结合压缩感知理论进行信道估计算法的研究。在使用混合模拟-数字收发机架构的平坦衰落信道模型下,将信道估计问题转化为压缩感知的信号重构问题,利用贪婪算法进行求解,并提出了一种基于分段正交匹配追踪(StOMP)的Ts-StOMP算法。Ts-StOMP算法可以在稀疏度未知的情况下,具有较好的估计速度和更好的估计性能。仿真结果表明,Ts-StOMP算法有着与StOMP算法相近的估计速度,在低信噪比下,实现了更高精度的信道估计。
As for the fact that the existing channel estimation theory of microwave communication system cannot be directly applied to MMW communication system,the sparse characteristic of MMW channel can be utilized to study the channel estimation algorithm,under the compressed sensing theory.By using flat fading channel model with hybrid analog-digital transceiver architecture,the channel estimation problem was transformed into a problem of the signal reconstructionof compressed sensing,which was solved by greedy algorithm,and a Ts-StOMP algorithm based on piecewise orthogonal matching tracking(StOMP)is proposed.Ts-StOMP algorithm does better in estimation speed and estimation performance in the case of unknown sparsity.Simulation results show that Ts-StOMP algorithm is about the same as StOMP algorithm in estimation speed,but it has a higher degree of accuracy under low SNR.
作者
李泽丕
李春树
李佳宁
刘煜
LI Ze-pi;LI Chun-shu;LI Jia-ning;LIU Yu(Schoolof Physics and Electronic-Electrical Engineering,Ningxia University,Yinchuan Ningxia 750021,China)
出处
《计算机仿真》
北大核心
2022年第8期222-225,295,共5页
Computer Simulation
基金
宁夏自然科学基金(2020AAC03033)
宁夏自然科学基金(NZ17051)。
关键词
毫米波
稀疏特性
压缩感知
信道估计
低信噪比
Millimeter wave
Sparsity
Compressed sensing
Channel estimation
Low SNR
