This paper investigates the combination of parametric channel estimation with minimum
mean square error (MMSE) estimation. We propose a two-stage channel estimation …

This work proposes a generative modeling-aided channel estimator based on mixtures of
factor analyzers (MFA). In an offline step, the parameters of the generative model are …

This paper develops a linear minimum mean-square error (LMMSE) channel estimator that
takes advantage of the mutual coupling in antenna arrays. We model the mutual coupling …

Channel estimation is the critical and fundamental problem in wireless communication
techniques, however, the complexity environment, including interference and noise, post a …

Channel estimation is challenging in multi-antenna communication systems, because of the
large number of parameters to estimate. It is possible to facilitate this task by using a …

This study investigates the application potential of the SAGE (space-alternating generalized
expectation-maximization) algorithm to jointly estimate the relative delay, incidence azimuth …

Nowadays, more and more communication systems are deployed under mobile
environments with very high velocity. This paper focuses on the channel estimation problem …

In this work, we propose two methods that utilize data symbols in addition to pilot symbols for
improved channel estimation quality in a multi-user system, so-called semi-blind channel …

In massive multiuser multiple antenna systems, the knowledge of the users' channel
covariance matrix is crucial for minimum mean square error channel estimation in the uplink …

Channel estimation is challenging in multi-antenna communication systems, because of the
large number of parameters to estimate. One way of facilitating this task is to use a physical …