An asymptotically optimal approximation of the conditional mean channel estimator based on Gaussian mixture models

M Koller, B Fesl, N Turan… - ICASSP 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
This paper investigates a channel estimator based on Gaussian mixture models (GMMs).
We fit a GMM to given channel samples to obtain an analytic probability density function …

An Asymptotically Optimal Approximation of the Conditional Mean Channel Estimator based on Gaussian Mixture Models

M Koller, B Fesl, N Turan, W Utschick - arXiv preprint arXiv:2111.11064, 2021 - arxiv.org
This paper investigates a channel estimator based on Gaussian mixture models (GMMs).
We fit a GMM to given channel samples to obtain an analytic probability density function …

[引用][C] An Asymptotically Optimal Approximation of the Conditional Mean Channel Estimator Based on Gaussian Mixture Models

M Koller, B Fesl, N Turan… - ICASSP 2022-2022 IEEE …, 2022 - mediatum.ub.tum.de
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An Asymptotically Optimal Approximation of the Conditional Mean Channel Estimator based on Gaussian Mixture Models

M Koller, B Fesl, N Turan, W Utschick - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
This paper investigates a channel estimator based on Gaussian mixture models (GMMs).
We fit a GMM to given channel samples to obtain an analytic probability density function …