Signal Restoration and Channel Estimation for Channel Sounding with SDRs

Julian Ahrens, Lia Ahrens, Michael Zentarra, Hans Dieter Schotten

In: Informationstechnische Gesellschaft im VDE (VDE ITG) (Hrsg.). ITG-Fachbericht 304: Mobilkommunikation. ITG-Fachtagung (ITG) Technologien und Anwendungen befindet sich 26. Fachtagung Mobilkommunikation (VDE / ITG - Fachtagung) May 18-19 Osnabrück Germany Seiten 82-87 304 ISBN 978-3-8007-5873-9 Informationstechnische Gesellschaft im VDE (VDE ITG) 5/2022.


In this paper, the task of channel sounding using software defined radios (SDRs) is considered. In contrast to classical channel sounding equipment, SDRs are general purpose devices and require additional steps to be implemented when employed for this task. On top of this, SDRs may exhibit quirks causing signal artefacts that obstruct the effective collection of channel estimation data. Based on these considerations, in this work, a practical algorithm is devised to compensate for the drawbacks of using SDRs for channel sounding encountered in a concrete setup. The proposed approach utilises concepts from time series and Fourier analysis and comprises a signal restoration routine for mitigating artefacts within the recorded signals and an encompassing channel sounding process. The efficacy of the algorithm is evaluated on real measurements generated within the given setup. The empirical results show that the proposed method is able to counteract the shortcomings of the equipment and deliver reasonable channel estimates.


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Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence