Synthesis of a device for anti-jamming reception of signals of tonal rail circuits on the background of additive five-component interference

Authors

DOI:

https://doi.org/10.15587/1729-4061.2021.235835

Keywords:

structurally determined interference, likelihood ratio, optimal signal discrimination, train traffic control

Abstract

An optimal receiving device for information signals of tonal rail circuits has been synthesized. The signals are observed against the background of an additive five-component interference. The first component of the interference is broadband Gaussian noise. The other four components of the interference are structurally determined: single impulse interference, interference from an adjacent tonal rail circuit, and multiharmonic interference from alternating traction current combined with the power line and from the locomotive traction converter. The presence of a complex of interference leads to errors in decision-making regarding the regulation of train traffic. This puts the participants in this movement before the danger of threatening emergencies. Therefore, it is necessary to develop and study means of noise-immune reception of information signals and the formation of dispatch decisions. The decision on the presence or absence of a signal is made by comparing two values of the mean square of the approximation error. This error is understood as the difference between the input voltage of the receiver and the sum of the signal with structurally determined interference. The first value of the error is calculated assuming the presence of a signal in a mixture with structurally determined noise. The second error value is calculated on the assumption that there is no signal in this mixture. The noise component is assumed to be present in both cases. The solution corresponds to a channel with a lower mean squared error. The block diagram of the device is presented. Analytically, it has been shown that the average value of the error in recognizing situations of presence or absence of a signal is two orders of magnitude less than the admissible value according to regulatory requirements. High noise immunity of the developed device will improve the safety of train traffic

Author Biographies

Sergii Panchenko, Ukrainian State University of Railway Transport

Doctor of Technical Sciences, Professor, Rector

Olha Ananieva, Ukrainian State University of Railway Transport

Doctor of Technical Sciences, Professor

Department «Automation and computer telecontrol of trains»

Mykhailo Babaiev, Ukrainian State University of Railway Transport

Doctor of Technical Sciences, Professor, Head of Department

Department of Electrical Power Engineering, Electrical Engineering and Electromechanics

Mykhailo Davidenko, Ukrainian State University of Railway Transport

PhD, Associate Professor

Department of Electrical Power Engineering, Electrical Engineering and Electromechanics

Vladyslav Panchenko, Ukrainian State University of Railway Transport

PhD, Associate Professor

Department of Electrical Power Engineering, Electrical Engineering and Electromechanics

References

  1. Ananieva, O., Babaiev, M., Blyndiuk, V., Davidenko, M. (2017). Design of a device for optimal reception of signals against the background of a two-component Markov interference. Eastern-European Journal of Enterprise Technologies, 6(9 (90)), 4–9. doi: http://doi.org/10.15587/1729-4061.2017.118869
  2. Yoshizawa, S., Tanimoto, H., Saito, T. (2017). Data Selective Rake Reception for Underwater Acoustic Communication in Strong Multipath Interference. Journal of Electrical and Computer Engineering, 2017, 1–9. doi: http://doi.org/10.1155/2017/5793507
  3. Djukanovic, S., Popovic, V. (2012). A Parametric Method for Multicomponent Interference Suppression in Noise Radars. IEEE Transactions on Aerospace and Electronic Systems, 48 (3), 2730–2738. doi: http://doi.org/10.1109/taes.2012.6237624
  4. Zhenhua, L., Hongbo, L., Wenyuan, X., Yingying, C. (2014). An Error-Minimizing Framework for Localizing Jammers in Wireless Networks. IEEE Transactions on Parallel and Distributed Systems, 25 (2), 508–517. doi: http//doi.org/10.1109/tpds.2013.33
  5. Ananieva, O., Babaiev, M., Blyndiuk, V., Davidenko, M. (2019). Development of a device for the optimal reception of signals against the background of an additive three-component interference. Eastern-European Journal of Enterprise Technologies, 2 (9 (98)), 6–13. doi: http://doi.org/10.15587/1729-4061.2019.159310
  6. Galev, A. V., Kosolapov, A. S. (2012). 77-30569/400050 Research of influence of smart jamming on error probability of direct-sequence spread-spectrum systems at coherent reception. Science and education, 4. Available at: http://technomag.edu.ru/doc/400050.html
  7. Torres, J., Hernandes, F., Habermann, J. (2014). Digital Demodulator for BFSK Waveform Based Upon Correlator and Differentiator Systems. Radioengineering, 23 (4), 1161–1168.
  8. Liu, W., Chen, R., Cai, H., Luo, W., Revil, A. (2017). Correlation analysis for spread-spectrum induced-polarization signal processing in electromagnetically noisy environments. GEOPHYSICS, 82 (5), E243–E256. doi: http://doi.org/10.1190/geo2016-0109.1
  9. Ouyang, X., Luo, L., Xiong, J. (2012). Time Delay Estimation Using Windowed Differential agnitude of Cross Correlation and Its Hilbert Transform. Procedia Engineering, 29, 2033–2038. doi: http://doi.org/10.1016/j.proeng.2012.01.257
  10. Kandar, D., Guchhait, A., Adikari, A. et. al. (2013). Clutter rejection in outdoor radar operation by correlation method for known target. Journal of Information Systems and Communication, 3 (1), 332–334.
  11. Goncharov, K. V. (2013). Synthesis of digital locomotive receiver of automatic locomotive signaling. Science and Transport Progress. Bulletin of Dnipropetrovsk National University of Railway Transport, 1(43), 30–38. doi: http://doi.org/10.15802/stp2013/9577
  12. Ananіevа, О., Babaiev, М., Davidenko, М., Panchenko, V. (2021). Optimum reception of information signals in the conditions of action of the five-component interference. Information and control systems at railway transport, 1, 24–29.
  13. Ananіevа, O. M., Babaiev, M. M., Blyndiuk, V. S., Davidenko, M. H. (2020). Mathematical model of mix of signal and multicomponent interference on entrance of track devices of tonal rail chains. Information and control systems at railway transport, 2, 3–7. doi: http://doi.org/10.18664/ikszt.v25i2.206825
  14. Zhiglyavskiy, A. A., Zhilinskas, A. G. (1991). Metody poiska globalnogo ekstremuma. Moscow: Nauka, 248.
  15. Falkovich, S. E., Khomyakov, E. N. (1981). Statisticheskaya teoriya izmeritelnykh radiosistem. Moscow: Radio i svyaz, 288.
  16. Kay, S. M., Marple, S. L. (1981). Spectrum analysis – A modern perspective. Proceedings of the IEEE, 69 (11), 1380–1419. doi: http://doi.org/10.1109/proc.1981.12184
  17. McClellan, J. H., Rader, C. M. (1979). Number Theory in Digital Signal Processing. Englewood Cliffs: Prentice Hall, 264.
  18. Novoseltseva, M. A. (2010).Detection of hidden periodicities of noisy signals by means of model of structural function in the form of continued fraction. Vestnik Kemerovskogo gosudarstvennogo universiteta, 4 (44), 79–83.
  19. Puech, T., Boussard, M., D’Amato, A., Millerand, G.; Lemaire, V., Malinowski, S., Bagnall, A., Bondu, A., Guyet, T., Tavenard, R. (Eds.) (2020). A Fully Automated Periodicity Detection in Time Series. Lecture Notes in Computer Science. Cham: Springer, 43–54. doi: http://doi.org/10.1007/978-3-030-39098-3_4
  20. Digital Signal Processors. Texas Instruments. An Owerview. Available at: https://www.ti.com/microcontrollers-mcus-processors/processors/digital-signal-processors/overview.html
  21. Kulik, P. D., Ivakin, V. S., Udovikov, A. A. (2004). Tonalnye relsovye tsepi v sistemakh ZHAT: postroenie, regulirovka, obsluzhivanie, poisk i ustranenie neispravnostey, povyshenie ekspluatatsionnoy nadezhnosti. Kyiv: Izdatelskiy dom «Manufaktura», 288.
  22. Goryainov, V. T., Zhuravlev, A. G., Tikhonov, V. I. (1980). Statisticheskaya radiotekhnika: primery i zadachi. Moscow: Sovetskoe radio, 544.

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Published

2021-06-30

How to Cite

Panchenko, S., Ananieva, O., Babaiev, M., Davidenko, M., & Panchenko, V. (2021). Synthesis of a device for anti-jamming reception of signals of tonal rail circuits on the background of additive five-component interference. Eastern-European Journal of Enterprise Technologies, 3(9(111), 94–102. https://doi.org/10.15587/1729-4061.2021.235835

Issue

Vol. 3 No. 9(111) (2021): Information and controlling system

Section

Information and controlling system

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Copyright (c) 2021 Sergii Panchenko, Olha Ananieva, Mykhailo Babaiev, Mykhailo Davidenko, Vladyslav Panchenko

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