多智能反射面辅助毫米波级联信道估计方法

Method on Millimeter Wave Cascade Channel Estimation Assisted by Multiple Intelligent Reflecting

针对多智能反射面(IRS)辅助的毫米波通信系统中存在信道耦合复杂、信道规模大、多跳级联信道估计导频开销大以及估计困难的问题,基于压缩感知理论提出一种高效的级联信道估计方法。首先,基于毫米波信道固有的稀疏特性,利用Katri-Rao和Kronecker乘积的性质,找到大规模多跳级联信道的稀疏表示方式;然后,将大规模级联信道估计问题转化为多个稀疏信号的恢复问题;最后,使用改进OMP算法恢复大规模级联信道。仿真结果表明,所提方法可以极大地减少多跳级联信道估计导频开销,并且可以准确地估计多跳级联信道的状态信息。

Aiming at the problems of complex channel coupling,large channel scale,large pilot cost and difficult estimation of multi-hop cascade channel estimation in the millimeter wave communication system assisted by multiple intelligent reflecting surfaces(IRS),an efficient cascade channel estimation method is proposed based on compressed sensing theory.Firstly,based on the inherent sparsity of millimeter wave channel,the sparse representation of a large-scale multi hop cascade channel is found by using the properties of Katri-Rao and Kronecker product.Then,the large-scale cascade channel estimation problem is transformed into the recovery problem of multiple sparse signals.Finally,an improved OMP algorithm is used to recover the large-scale cascade channel.Simulation results show that the proposed method can greatly reduce the pilot cost of multi hop cascade channel estimation,and can accurately estimate the state information of multi hop cascade channel.