Ovchinnikov, Vladimir; Ivanov, V. (Vladimir); Ivanov, D. (Dmitry); Elsukov, A. (Aleksey); Ryabova, N. (Natalya) et. al. (2019): Beat-note signals, data underlying the studies of Linearly Frequency Modulated Continuous Wave (LFMCW) Sounding. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:2440a722-7680-4d29-8cd2-80409e3f1011

Dataset

• Communications Technologies
• Other Environment
• Astronomical and Space Sciences
• Other Earth Sciences

beat-note, Constant False Alarm Rate (CFAR), Group delay, Ionogram, Ionosonde, linearly frequency modulated continuous wave (LFMCW), stretch processing, USRP N210 platform

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by Vladimir Ovchinnikov , V. (Vladimir) Ivanov , D. (Dmitry) Ivanov , A. (Aleksey) Elsukov , N. (Natalya) Ryabova , M. (Maria) Ryabova

In our studies we employed linearly frequency modulated continuous wave (LFMCW) sounding. Reception of the sounding signal was performed by the USRP N210 platform that implements quadrature processing. Next, received signal undergoes matched filter processing. Procedure is equivalent to signal compression in the frequency domain. Compression yields a beat-note continuous signal. The beat-note signal conveys data on the channel parameters including the sounding signal group delay, signal-to-noise ratio and scattering parameters. We record beat-note signals into files for further processing in our studies (for plotting ionograms, measuring channel parameters, investigating ionosphere). We developed the relevant software for processing beat-note signals with the use of python and the LabVIEW framework. The software performs stretch processing of the signal, adaptive whitening and median equalization, CFAR signal detection, plotting ionograms and graphs. Figures presented in the paper were obtained with the use of that software. Presented dataset contains files with beat-note signals obtained on the Cyprus-to-Yoshkar-Ola propagation path and were used in our research.

• 2019-09-17 first online, published, posted

4TU.Centre for Research Data

media types: application/octet-stream, application/x-rar-compressed, image/png, text/plain

• Russian Science Foundation

Volga State University of Technology