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Dominik Semmler

2 accepted papers

2024

Data-Aided Channel Estimation Utilizing Gaussian Mixture Models

ICASSP 2024accepted

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 estimation. To this end, a subspace is estimated based on all received symbols and utilized to improve the estimati…

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