Name
Title | ||
|---|---|---|
Covariance estimation with projected data: Applications to CSI covariance acquisition and tracking. |
Abstract | ||
|---|---|---|
We consider the problem of covariance estimation with projected or missing data, and in particular the application to spatial channel covariance estimation in a multi-user Massive MIMO wireless communication system with arbitrary (possibly time-varying and/or non-orthogonal) pilot sequences. We introduce batch and online estimators based on the expectation-maximization (EM) approach, and provide sufficient conditions for their asymptotic (for large sample sizes) unbiasedness. We analyze their application to both uplink and downlink Massive MIMO, and provide numerical performance benchmarks. |
Year | Venue | Field |
|---|---|---|
2017 | European Signal Processing Conference | Signal processing,Mathematical optimization,Estimation of covariance matrices,Communication channel,MIMO,Missing data,Mathematics,Covariance,Estimator,Telecommunications link |
DocType | ISSN | Citations |
Conference | 2076-1465 | 1 |
PageRank | References | Authors |
0.35 | 10 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexis Decurninge | 1 | 31 | 7.78 |
| Maxime Guillaud | 2 | 315 | 30.64 |