ISSN 0869-6632 (Print)
ISSN 2542-1905 (Online)

For citation:

Gulyaev Y. V., Kalinin V. I., Kolesov V. V., Myasin E. A. Information technology based on noise-like signals. Izvestiya VUZ. Applied Nonlinear Dynamics, 2025, vol. 33, iss. 5, pp. 629-656. DOI: 10.18500/0869-6632-003185, EDN: BICJXM

This is an open access article distributed under the terms of Creative Commons Attribution 4.0 International License (CC-BY 4.0).
Full text PDF(Ru):
PDF icon and_2025-5_gulayev_et-al_629-656.pdf
(downloads: 0)
Full text PDF(En):
PDF icon and_2025_5_gulayev_en.pdf
(downloads: 0)
Language: 
Russian
Heading: 
Bifurcation in Dynamical Systems. Deterministic Chaos. Quantum Chaos.
Article type: 
Article
UDC: 
004.93, 621.391
DOI: 
10.18500/0869-6632-003185
EDN: 
BICJXM

Information technology based on noise-like signals

Autors: 
Gulyaev Yuri Vasilyevich, Kotel'nikov Institute of Radioengineering and Electronics of Russian Academy of Sciences
Kalinin Valery Ivanovich, Kotel'nikov Institute of Radioengineering and Electronics of Russian Academy of Sciences
Kolesov Vladimir Vladimirovich, Kotel'nikov Institute of Radioengineering and Electronics of Russian Academy of Sciences
Myasin Evgeny Anatolyevich, Fryazino Branch of Kotel`nikov Institute of Radiophysics and Electronics of Russian Academy of Sciences
Abstract: 

The purpose of this article is a brief overview of the results of research on the use of noise-like signals in broadband radio systems conducted under the leadership of Yuri Vasilyevich Gulyaev.

Methods. The conducted research was based on the previous experience of the V.A. Kotelnikov IRE RAS research team related to the
development of analog noise-like devices (shumotrons) based on the concept of dynamic chaos. The continuation of these studies was associated with the development of digital chaos based on integer generating algorithms that could be easily reproduced on any digital technology.

Results. Promising directions of using information technologies using dynamic chaos for the transmission, processing, storage and protection of information are considered. Broadband information transmission systems using complex signals with a large base, built on the
basis of systems with chaotic dynamics, are presented. Finite-dimensional mathematical algorithms for calculating chaotic signals by reconstructing nonlinear dynamics in dissipative systems with a delay are proposed.

Conclusion. It is shown that a digital information transmission system with spectrum expansion and dynamic change of chaotic codes has high noise immunity, secrecy, electromagnetic compatibility and ensures reliable and confidential transmission of messages in a complex electromagnetic environment. Schemes for masking, protecting, processing, and transmitting information are implemented based on original chaotic algorithms. An experimental study of the noise radar layout in laboratory conditions demonstrated a sufficiently high accuracy of radar range measurements over the entire measurement range with dual spectral signal processing, as well as a high range resolution of 15
cm (with an effective bandwidth of 800- 900 MHz).
 

Key words: 
broadband information technologies
chaotic coding algorithms
spread spectrum technology
noiselike carrier
signal processing on the carrier
noise radar
Reference: 
  1. Myasin EA, Kislov VYa, Bogdanov EV. Method of generating electromagnetic noise oscillations: A.s. 1125735 USSR: B.I. 1984;(43) (in Russian).
  2. Lorenz EN. Deterministic nonperiodic flow. J. Atmos. Sci. 1963;20(2):130–141. DOI: 10.1175/1520- 0469(1963)020<0130:DNF>2.0.CO;2.
  3. Landau LD. On the problem of turbulence. Sov. Phys. Doklady. 1944;44(8):339–342 (in Russian).
  4. Kislov VYa, Zalogin NN, Myasin EA. Study of stochastic self-oscillations in a generator with delay. Sov. J. Commun. Technol. Electron. 1979;24(6):118–127. (in Russian).
  5. Kislov VYa. Theoretical analysis of noise-like oscillations in an electron-wave system. Sov. J. Commun. Technol. Electron. 1979;25(8):1683–1692 (in Russian).
  6. Kislov VYa, Zalogin NN, Myasin EA. On nonlinear stochastization of self-oscillations in an electron-wave oscillator with delayed feedback. Sov. J. Commun. Technol. Electron. 1980;25(10): 2160–2168 (in Russian).
  7. Kalyanov EV, Ivanov VP, Lebedev MN. Experimental study of a transistor self-oscillator with delayed feedback. Sov. J. Commun. Technol. Electron. 1982;27(5):982–98 (in Russian).
  8. Kalinin VI, Zalogin NN, Kislov VYa. Nonlinear resonance and stochasticity in a self-oscillating system with delay. Sov. J. Commun. Technol. Electron. 1983;28(10):2001–2007 (in Russian).
  9. Kalinin VI, Zalogin NN, Myasin EA. Transition to chaos in a parametric system with a nonlinear ferrite resonator and delay. Tech. Phys. Lett. 1984;10(21):1311–1314 (in Russian).
  10.  Anisimova YuV, Dmitriev AS, Zalogin NN, Kalinin VI, Kislov VYa, Panas AI. On one mechanism of transition to chaos in the “electron beam – electromagnetic wave”. Tech. Phys. Lett. 1983;37(8):387–390 (in Russian).
  11.  Anisimova YuV, Dmitriev AS. Stochastic Oscillations in Radio Engineering and Electronics. M.: Nauka; 1989. 278 p. (in Russian).
  12.  Dmitriev AS, Panas AI. Dynamic Chaos. New Information Carriers for Communication Systems. M.: Fizmatgiz; 2002. 252 p. (in Russian).
  13.  Gulyaev YuV, Kislov VYa, Kislov VV. New class of signals for information transmission — broadband chaotic signals. Doklady Physics. 1998;359(6):750–754. (in Russian).
  14.  Gulyaev YuV, Kislov VYa, Kislov VV, Kalinin VI, Kolesov VV, Belyaev RV, Vorontsov GM. Broadband telecommunication facilities with code division multiplexing based on chaotic signals. Radio Engineering. 2002;10:3–15. (in Russian).
  15.  Belyaev RV, Vorontsov GM, Kolesov VV. Random sequences generated by a nonlinear algorithm with delay. J. Commun. Technol. Electron. 2000;45(8):954–960. (in Russian).
  16.  Shannon CE. A mathematical theory of communication. Bell System Techn. J. 1948;27(3):379– 423.
  17.  Varakin LE. Communication Systems with Noise-Like Signals. M.: Radio i svyaz; 1985. 384 p. (in Russian).
  18.  Kotelnikov VA. Theory of Potential Noise Immunity. M.: Radio i svyaz; 1998. 152 p. (in Russian).
  19.  Kolesov VV, Belyaev RV, Vorontsov GM, Popov AM, Ryabenkov VI. The complex chaotic discrete signals in systems of radiolocation and navigation. In: Proceedings of XI Int. scientificresearch conference “Radiolocation, Navigation, Communications”. 12–14 April, 2005, Voronezh, Russia. Voronezh: NPF "Sakvoee 2005. P. 292–307.
  20.  Rossler O. E. Chemical turbulence: Chaos in a simple reaction-diffusion system. Z. Naturforsch. A. 1976;31(10):1168–1172. DOI: 10.1515/zna-1976-1006.
  21.  Chua LO, Komuro M, Matsumoto T. The double scroll family. IEEE Transactions on Circuits & Systems. 1986;33(11):1073–1118. DOI: 10.1109/TCS.1986.1085869.
  22.  Belyaev RV, Vorontsov GM, Kislov VYa, Kolesov VV, Krupenin SV, Popov AM, Ryabenkov VI. Complex chaotic discrete signals in telecommunications, radar, and navigation systems. J. Commun. Technol. Electron. 2006;51:1052–1063. DOI: 10.1134/S1064226906090063.
  23.  Schuster HG. Deterministic Chaos: An Introduction. Weinheim: VCH; 1988. 270 p.
  24.  Belyaev RV, Vorontsov GM, Kislov VYa, Kolesov VV, Popov AM, Ryabenkov VI. The spectrum of periods of pseudorandom sequences formed by an algorithm with retardation. J. Commun. Technol. Electron. 2004;49(3):299-306.
  25.  Kolesov VV. Estimation of structural complexity of a pseudo-random sequence of integers. In: 7th International Conference and Exhibition “Digital Signal Processing and Its Applications”. 16–18 March, 2005, Moscow, Russia. P. 3–7 (in Russian).
  26.  Kalyanov EV. Information transmission using coding of masking chaotic oscillations. J. Commun. Technol. Electron. 2002;47(4):469–476. (in Russian).
  27.  Verba VS, Dod VK, Trofimov AA, Chernyshev MI. Application of ultrashort pulses in radar systems of aviation patrol complexes. In: Proceedings of the 1st international conference “UltraWideband Signals and Ultrashort Pulses in Radar, Communications and Acoustics”. 27–29 September, 2005, Suzdal, Russia. (in Russian).
  28.  Skosyrev VK, Osipov ML. Features and properties of short-pulse radar. Herald of the Bauman Moscow State Technical University. 1999;(4):21–30. (in Russian).
  29.  Chapurskiy VV. Uncertainty functions of UWB multifrequency signals. In: Proceedings of the 1st international conference “Ultra-Wideband Signals and Ultrashort Pulses in Radar, Communications and Acoustics”. 27–29 September, 2005, Suzdal, Russia. P. 21–25 (in Russian).
  30.  Bystrov RP, Dmitriev VT, Potapov AA, Sokolov AV. Problems of radar detection of low-contrast objects. In: Sokolov AV, editor. Issues of Promising Radar. Moscow: Radiotekhnika; 2003. P. 20–48 (in Russian).
  31.  Kalinin V. Wide band interferometry with spectral analysis of noise signal // In: Proc. of the PIERS Workshop on Advances in Radar Methods. 20-22 July, 1998, Baveno, Italy. P. 222–224.
  32.  Kislov VYa, Myasin EA, Zalogin NN. On nonlinear stochastization of self-oscillations in an electron-wave generator with delayed feedback. J. Commun. Technol. Electron. 1980;25(10):2160– 2168.
  33.  Kalyanov EV, Kalinin VI, Kislov VYa. Parametric excitation of complex and chaotic oscillations in a dynamical system with a resonator in a chain of delayed feedback. J. Commun. Technol. Electron. 2002;47(8):984–997.
  34.  Myasin EA, Kotov VD Broadband diode noise generators of the millimeter wave range. Radio Engineering. 2005;(3):46–50. (in Russian).
  35.  Myasin EA, Kotov VD, Ilyin AYu, Chmil AI. Noise radar with analog and digital signal processing. Radio Engineering. 2005;(3):36–40. (in Rissian).
  36.  Kalinin VI, Chapursky VV. Efficiency of two-stage spectral analysis for noise radar in the presence of clutter. J. Commun. Technol. Electron. 2006;51:286–296. DOI: 10.1134/S1064226906090063.
  37.  Kalinin V, Panas A, Kolesov V, Lyubchenko V. Ultra wideband wireless communication on the base of noise technology. In: Proceedings of 2006 International Conference on Microwaves, Radar & Wireless Communications. 22–24 May, 2006, Krakow, Poland. P. 615–618. DOI: 10.1109/ MIKON.2006.4345254.
  38.  Ivashina AV. Trends in the development of radio engineering monitoring of the Earths surface. Radiotekhnika. 2024;88(5):122–128 (in Russian). DOI: 10.18127/j00338486-202405-14.
  39.  Mandal P, Sarkar N, Atta R, Patra AS. Recent advancement of RB noise alleviation techniques in different communication networks and its lacunae: a review. Journal of Optical Communications. 2024;45(s1):s2339–s2371. DOI: 10.1515/joc-2023-0248.
  40.  Galati G, Pavan G, Wasserzier C. Signal design and processing for noise radar. EURASIP J. Adv. Signal Process. 2022;2002:52. DOI: 10.1186/s13634-022-00884-1.
  41.  Nikolenko BB, Kuznetsov DI, Podkovkin VA, Popov PB, Nikulina AN. Using artificial intelligence methods to recognize radar stations based on the radlotechnical parameters of signals with filtering signals from radar stations not taken into account in the training set. Radiotekhnika. 2024;88(5): 15–27 (in Russian). DOI: 10.18127/j00338486-202405-02.
Received: 
24.04.2025
Accepted: 
02.07.2025
Available online: 
09.07.2025
Published: 
30.09.2025
  • 831 reads