Utilizza questo identificativo per citare o creare un link a questo documento: http://elartu.tntu.edu.ua/handle/lib/39846
Titolo: Mathematical and Algorithmic Support of Detection Useful Radiosignals in Telecommunication Networks
Autori: Khvostivska, Liliya
Khvostivskyy, Mykola
Dunetc, Vasyl
Dediv, Iryna
Bibliographic description (Ukraine): Liliya Khvostivska, Mykola Khvostivskyy, Vasyl Dunetc, Iryna Dediv. Mathematical and Algorithmic Support of Detection Useful Radiosignals in Telecommunication Networks. Proceedings of the 2nd International Workshop on Information Technologies: Theoretical and Applied Problems (ITTAP 2022). Ternopil, Ukraine, November 22-24, 2022. P.314-318. ISSN 1613-0073
Bibliographic description (International): Liliya Khvostivska, Mykola Khvostivskyy, Vasyl Dunetc, Iryna Dediv. Mathematical and Algorithmic Support of Detection Useful Radiosignals in Telecommunication Networks. Proceedings of the 2nd International Workshop on Information Technologies: Theoretical and Applied Problems (ITTAP 2022). Ternopil, Ukraine, November 22-24, 2022. P.314-318. ISSN 1613-0073
Data: 23-dic-2022
Submitted date: 6-nov-2022
Date of entry: 28-dic-2022
Editore: Ternopil Ivan Puluj National Technical University
Country (code): UA
Place of the edition/event: Ternopil, Ukraine
Parole chiave: Mathematical and algorithmic support
detection, radiosignals
telecommunication network
Abstract: The article is developed mathematical support of the component detection for useful stochasticperiodic radiosignals in telecommunication networks which based on the principles of the energy theory of stochastic signals applying the theory of periodically correlated random processes and component processing. On the basis of mathematical support is implemented algorithmic support for effective detection of useful stochastic-periodic radiosignals in telecommunication networks with interferences by calculating correlation components as quantitative indicators of detection.
URI: http://elartu.tntu.edu.ua/handle/lib/39846
ISSN: 1613-0073
Copyright owner: © Liliya Khvostivska, Mykola Khvostivskyy, Vasyl Dunetc, Iryna Dediv
References (Ukraine): Yu.É. Korchagin, K.D. Titov. Detection of an Ultra-Wideband Quasi Radio Signal with Unknown Duration Against the Background of White Noise. Radiophysics and Quantum Electronics volume 61, pp.853–866 (2019). doi: 10.1007/s11141-019-09942-5
A.P. Trifonov, Yu.É. Korchagin, M.V.Trifonov. Detection of Radio Signals with Unknown Duration, Amplitude, and Initial Phase. Radiophysics and Quantum Electronics, Volume 58, Issue 5, pp.361-372. October 2015. doi: 10.1007/s11141-015-9610-5
O. Laptiev, I. Polovinkin, S. Vitalii, O. Stefurak, O. Barabash and O. Zelikovska, "The Method of Improving the Signal Detection Quality by Accounting for Interference," 2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT), 2020, pp. 172-175, doi: 10.1109/ATIT50783.2020.9349259
G. Kolumbán, T. Krébesz . Chaotic Communications with Autocorrelation Receiver: Modeling, Theory and Performance Limits. Intelligent Computing Based on Chaos, 2009, SCI 184, pp. 121–143. doi: 10.1007/978-3-540-95972-4_6
Y.P. Drahan. Energy theory of linear models of stochastic signals. Lviv: Center for Strategic Studies of Eco-Bio-Technical Systems. 1997. XVI+333 p
Content type: Conference Abstract
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