519.25:519.6:004.021:004.042:621.39

radio signal, mathematical support, periodically correlated stochastic process, synphase method, algorithmic support, software, detection, noise, electronic communication network, Matlab.

Mathematical (radio signal model as a periodically correlated stochastic process and synphase method of its processing) and algorithmic support for synphase detection of stochastic-periodic radio signals in electronic communication networks with noise by calculating new detection indicators in the form of correlation components, which ensure effective making a decision regarding the presence or the absence of a useful radio signal in obstacles of different power. For a more detailed assessment of the calculated indicators of radio signal detection in the form of correlation components, were used averaged estimates. Software for synphase detection of radio signals in electronic communication networks with a graphical user interface is implemented in the Matlab environment. The process of synphase detection of radio signals in electronic communication networks with noise was investigated and the effectiveness of the application of new detection indicators was ascertained.

1. Korchagin Yu. É., Titov K. D. Detection of an Ultra-Wideband Quasi Radio Signal with Unknown Duration Against the Background of White Noise. Radiophysics and Quantum Electronics. Volume 61. P. 853–866. 2019. Doi: 10.1007/s11141-019-09942-5.
2. Trifonov A. P., Korchagin Yu. É., Trifonov M. V. Detection of Radio Signals with Unknown Duration, Amplitude, and Initial Phase. Radiophysics and Quantum Electronics. Volume 58. Issue 5. P. 361–372. October 2015. Doi: 10.1007/s11141-015-9610-5.
3. Kolumbán G., Krébesz T. Chaotic Communications with Autocorrelation Receiver: Modeling, Theory and Performance Limits. Intelligent Computing Based on Chaos. 2009. SCI 184. P. 121–143. Doi: 10.1007/978-3-540-95972-4_6.
4. Dragan Ya. P. Enerhetychna teoriia liniinykh modelei stokhastychnykh syhnaliv. Lviv: Tsentr stratehichnykh doslidzhen eko-bio-tekhnichnykh system, 1997. ХVІ+333 p. [In Ukrainian].
5. Khvostivska L. V., Koval L. M. Vyiavlennia korysnykh radiosyhnaliv yak periodychno korelovanykh vypadkovykh protsesiv v umovakh apriornoi nevyznachenosti. Materialy IV Vseukrainskoi naukovo-praktychnoi internet-konferentsii studentiv, aspirantiv ta molodykh vchenykh za tematykoiu “Suchasni kompiuterni systemy ta merezhi v upravlinni”: zbirka naukovykh prats / pid redaktsiyeyu H. O. Rayko. Kherson: Vydavnytstvo FOP Vyshemyrs'kyy V. S., 2021. P. 133. [In Ukrainian].
6. Khvostivska L. V., Kazmiriv V. V., Remez A. V. Veivlet obrobka radiosyhnaliv dlia zadachi yikh vyiavlennia na foni zavad [Wavelet processing of radiosignals for the problem of their detection against the background of interferences]. ХІ International scientific and practical conference of young researchers and students “Current issues in modern technologies“ (Tern., 7–8 December 2022). P. 119–120. [In Ukrainian].
7. Khvostivska L., Khvostivskyy M., Dunetc V., Dediv I. Mathematical and Algorithmic Support of Detection Useful Radiosignals in Telecommunication Networks. CEUR Workshop Proceedings. 2nd International Workshop on Information Technologies: Theoretical and Applied Problems, ITTAP 2022 Ternopil
   22–24 November 2022. P. 314–318.
8. Dragan Ya. P., Osukhivska H. M., Khvostivskyi M. O. Obgruntuvannia matematychnoi modeli elektroretynohrafichnoho syhnalu u vyhliadi periodychno korelovanoho vypadkovoho protsesu. Kompiuterni tekhnolohii drukarstva. Lviv: Ukrainska akademiia drukarstva. 2007. No. 18. P. 129–138. [In Ukrainian].
9. Khvostivska L. V., Yavorskyi B. I. Aktualnist zastosuvannia synfaznoho ta komponentnoho metodiv shchodo analizu pulsovoho syhnalu sudyn liudyny. Materialy XVII naukovoi konferentsii Ternopilskoho natsionalnoho tekhnichnoho universytetu imeni Ivana Puliuia “Pryrodnychi nauky ta informatsiini tekhnolohii” (20–21 lystopada 2013 r.). Ternopil, 2013. T. 1. P. 45. [In Ukrainian].
10. Hvostivska L. V., Osukhivska H. M., Hvostivskyy M. O., Shadrina H. M., Dediv I. Yu. Development of methods and algorithms for a stochastic biomedical signal period calculation in medical computer diagnostic systems. Visnyk NTUU KPI Seriia – Radiotekhnika Radioaparatobuduvannia. (79). P. 78–84. Doi: 10.20535/RADAP.2019.79.78-84.48.
11. Khvostivskyi M. O. Matematychna model makromekhanizmu formuvannia elektroretynosyhnalu dlia pidvyshchennia dostovirnosti oftalmodiahnostychnykh system. Avtoreferat dysertatsii na zdobuttia naukovoho stupenia kandydata tekhnichnykh nauk: 01.05.02 Matematychne modeliuvannia ta obchysliuvalni metody. Ternopil, 2010. 20 p. [In Ukrainian].
12. Dragan Ya. P., Osukhivska H. M., Khvostivskyi M. O. Obgruntuvannia matematychnoi modeli elektroretynohrafichnoho syhnalu u vyhliadi periodychno korelovanoho vypadkovoho protsesu. Kompiuterni tekhnolohii drukarstva. Lviv: Ukrainska akademiia drukarstva. 2007. No. 18. P. 129–138. [In Ukrainian].
13. Hvostivska L. V., Dediv I. Y., Isaenko D. V. (2019). Heneruvannia radiosyhnaliv dlia testuvannia prohramnoho zabezpechennia kompiuternykh radiosystem. Actual problems of modern technologies: book of abstracts of the ХІІІ International scientific and technical conference of young researchers and students (Tern., 27–28 November 2019). Vol. 2. P. 108–109. [In Ukrainian].
14. Laptiev O., Polovinkin I., Vitalii S., Stefurak O., Barabash O. and Zelikovska O., “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. P. 172–175. Doi: 10.1109/ATIT 50783.2020.9349259.

1. Korchagin Yu. É., Titov K. D. Detection of an Ultra-Wideband Quasi Radio Signal with Unknown Duration Against the Background of White Noise. Radiophysics and Quantum Electronics. Volume 61. P. 853–866. 2019. Doi: 10.1007/s11141-019-09942-5.
2. Trifonov A. P., Korchagin Yu. É., Trifonov M. V. Detection of Radio Signals with Unknown Duration, Amplitude, and Initial Phase. Radiophysics and Quantum Electronics. Volume 58. Issue 5. P. 361–372. October 2015. Doi: 10.1007/s11141-015-9610-5.
3. Kolumbán G., Krébesz T. Chaotic Communications with Autocorrelation Receiver: Modeling, Theory and Performance Limits. Intelligent Computing Based on Chaos. 2009. SCI 184. P. 121–143. Doi: 10.1007/978-3-540-95972-4_6.
4. Dragan Ya. P. Enerhetychna teoriia liniinykh modelei stokhastychnykh syhnaliv. Lviv: Tsentr stratehichnykh doslidzhen eko-bio-tekhnichnykh system, 1997. ХVІ+333 p. [In Ukrainian].
5. Khvostivska L. V., Koval L. M. Vyiavlennia korysnykh radiosyhnaliv yak periodychno korelovanykh vypadkovykh protsesiv v umovakh apriornoi nevyznachenosti. Materialy IV Vseukrainskoi naukovo-praktychnoi internet-konferentsii studentiv, aspirantiv ta molodykh vchenykh za tematykoiu “Suchasni kompiuterni systemy ta merezhi v upravlinni”: zbirka naukovykh prats / pid redaktsiyeyu H. O. Rayko. Kherson: Vydavnytstvo FOP Vyshemyrs'kyy V. S., 2021. P. 133. [In Ukrainian].
6. Khvostivska L. V., Kazmiriv V. V., Remez A. V. Veivlet obrobka radiosyhnaliv dlia zadachi yikh vyiavlennia na foni zavad [Wavelet processing of radiosignals for the problem of their detection against the background of interferences]. ХІ International scientific and practical conference of young researchers and students “Current issues in modern technologies“ (Tern., 7–8 December 2022). P. 119–120. [In Ukrainian].
7. Khvostivska L., Khvostivskyy M., Dunetc V., Dediv I. Mathematical and Algorithmic Support of Detection Useful Radiosignals in Telecommunication Networks. CEUR Workshop Proceedings. 2nd International Workshop on Information Technologies: Theoretical and Applied Problems, ITTAP 2022 Ternopil
   22–24 November 2022. P. 314–318.
8. Dragan Ya. P., Osukhivska H. M., Khvostivskyi M. O. Obgruntuvannia matematychnoi modeli elektroretynohrafichnoho syhnalu u vyhliadi periodychno korelovanoho vypadkovoho protsesu. Kompiuterni tekhnolohii drukarstva. Lviv: Ukrainska akademiia drukarstva. 2007. No. 18. P. 129–138. [In Ukrainian].
9. Khvostivska L. V., Yavorskyi B. I. Aktualnist zastosuvannia synfaznoho ta komponentnoho metodiv shchodo analizu pulsovoho syhnalu sudyn liudyny. Materialy XVII naukovoi konferentsii Ternopilskoho natsionalnoho tekhnichnoho universytetu imeni Ivana Puliuia “Pryrodnychi nauky ta informatsiini tekhnolohii” (20–21 lystopada 2013 r.). Ternopil, 2013. T. 1. P. 45. [In Ukrainian].
10. Hvostivska L. V., Osukhivska H. M., Hvostivskyy M. O., Shadrina H. M., Dediv I. Yu. Development of methods and algorithms for a stochastic biomedical signal period calculation in medical computer diagnostic systems. Visnyk NTUU KPI Seriia – Radiotekhnika Radioaparatobuduvannia. (79). P. 78–84. Doi: 10.20535/RADAP.2019.79.78-84.48.
11. Khvostivskyi M. O. Matematychna model makromekhanizmu formuvannia elektroretynosyhnalu dlia pidvyshchennia dostovirnosti oftalmodiahnostychnykh system. Avtoreferat dysertatsii na zdobuttia naukovoho stupenia kandydata tekhnichnykh nauk: 01.05.02 Matematychne modeliuvannia ta obchysliuvalni metody. Ternopil, 2010. 20 p. [In Ukrainian].
12. Dragan Ya. P., Osukhivska H. M., Khvostivskyi M. O. Obgruntuvannia matematychnoi modeli elektroretynohrafichnoho syhnalu u vyhliadi periodychno korelovanoho vypadkovoho protsesu. Kompiuterni tekhnolohii drukarstva. Lviv: Ukrainska akademiia drukarstva. 2007. No. 18. P. 129–138. [In Ukrainian].
13. Hvostivska L. V., Dediv I. Y., Isaenko D. V. (2019). Heneruvannia radiosyhnaliv dlia testuvannia prohramnoho zabezpechennia kompiuternykh radiosystem. Actual problems of modern technologies: book of abstracts of the ХІІІ International scientific and technical conference of young researchers and students (Tern., 27–28 November 2019). Vol. 2. P. 108–109. [In Ukrainian].
14. Laptiev O., Polovinkin I., Vitalii S., Stefurak O., Barabash O. and Zelikovska O., “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. P. 172–175. Doi: 10.1109/ATIT 50783.2020.9349259.