Please use this identifier to cite or link to this item:
http://elartu.tntu.edu.ua/handle/lib/39846| Title: | Mathematical and Algorithmic Support of Detection Useful Radiosignals in Telecommunication Networks |
| Authors: | 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 |
| Issue Date: | 23-Des-2022 |
| Submitted date: | 6-Nov-2022 |
| Date of entry: | 28-Des-2022 |
| Publisher: | Ternopil Ivan Puluj National Technical University |
| Country (code): | UA |
| Place of the edition/event: | Ternopil, Ukraine |
| Keywords: | 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 |
| Appears in Collections: | Наукові публікації працівників кафедри біотехнічних систем |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Mathematical and Algorithmic Support of Detection Useful Radiosignals in Telecommunication Networks.pdf | 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 | 1,43 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
Admin Tools