Estimation Of Channels In Systems With Intelligent Reflecting Surfaces

Michael Joham; Hangze Gao; Wolfgang Utschick

ICASSP 2022accepted0 citations

Estimation Of Channels In Systems With Intelligent Reflecting Surfaces

Michael Joham, Hangze Gao, Wolfgang Utschick

Abstract

We consider channel estimation for systems equipped with an intelligent reflecting surface (IRS). We develop least squares (LS) and minimum mean square error (MMSE) estimation for such systems. The appropriate system models are developed and we also discuss the parameters which can be estimated in such a setup because there exists a difficulty due to the ambiguity for the two channels connecting with the IRS. The MMSE estimator is based on a Kronecker product approximation of the channel covariance matrix. The simulations results illustrate the advantage of the optimized pilots and the optimized phase allocations for the channel estimation.

BibTeX

@inproceedings{icassp2022_estimationofchan,
  title = {Estimation Of Channels In Systems With Intelligent Reflecting Surfaces},
  author = {Michael Joham and Hangze Gao and Wolfgang Utschick},
  booktitle = {ICASSP 2022},
  year = {2022}
}