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In this paper, the task of channel sounding using software defined radios(SDRs) is considered. In contrast to classical channel sounding equipment, SDRsare general purpose devices and require additional steps to be implemented whenemployed for this task. On top of this, SDRs may exhibit quirks causing signalartefacts that obstruct the effective collection of channel estimation data.Based on these considerations, in this work, a practical algorithm is devisedto compensate for the drawbacks of using SDRs for channel sounding encounteredin a concrete setup. The proposed approach utilises concepts from time seriesand Fourier analysis and comprises a signal restoration routine for mitigatingartefacts within the recorded signals and an encompassing channel soundingprocess. The efficacy of the algorithm is evaluated on real measurementsgenerated within the given setup. The empirical results show that the proposedmethod is able to counteract the shortcomings of the equipment and deliverreasonable channel estimates.

Signal Restoration and Channel Estimation for Channel Sounding with SDRs