V.M. Artyushenko1, V.I. Volovach2

1 Moscow State University of Geodesy and Cartography (Moscow, Russia)

2 Volga Region State University of Service (Toglyatti, Russia)

2 MIREA – Russian Technological University (Moscow, Russia)

1 artuschenko@mail.ru; 2 volovach.vi@mail.ru

Information-measuring radio systems operate in conditions of a complex signal-noise environment, characterized, in particular, by a multicomponent and statistically heterogeneous composition of the affecting noise with a random nature of occurrence, significant amplitude variability and pronounced unsteadiness. In addition, the characteristics of the transmitting and receiving equipment are influenced by various destabilizing factors, such as mechanical and climatic loads. Separately, mention should be made of a wide range of operating conditions for transmitting devices, which predetermines significant variations in the amplitude, timing and spectral composition of the received signals. The article proposes a solution aimed at improving the reliability of signal detection and recognition and based on the use of special methods for processing the input process, taking into account the non-Gaussian nature of noise and their pulsed structure.

The purpose of the work is to develop quasi-optimal multilevel algorithms for processing discrete signals based on polygaussian models of the noise environment and adaptive selection of parameters of the receiving path.

An analysis of existing approaches to the synthesis of quasi-optimal algorithms focused on work in complex noise conditions was carried out. It is shown that among the methods considered, multi-count processing algorithms have the greatest efficiency, which allow taking into account the statistical features of the input signal at several time intervals. It has been shown that a three-threshold decision circuit is capable of providing acceptable detection quality of a useful signal. It is noted that the choice of the bandwidth of the predetector path is critical to ensure the necessary reception parameters. Principle of functioning of quasi-optimal gated receiver of pulse signals is considered. The analysis of the operation of the latter was performed under conditions of combined noise, including both stationary noise and rare powerful pulse effects. It is said that the use of gating in conjunction with polygaussian models significantly improves the selective properties of the receiver.

The results obtained confirm the effectiveness and practical significance of using quasi-optimal multilevel polygaussian algorithms for processing discrete signals. At the same time, the proposed approaches, in particular, the use of a three-threshold decision circuit and adaptive selection of parameters of the receiving path, make it possible to increase noise immunity of radio systems in conditions of additive noise and chaotic pulsed noise. The results of mathematical modeling fully confirm the operability of algorithms and circuit solutions.

Artyushenko V.M., Volovach V.I. The quasi-optimal polygaussian algorithm for receiving discrete signals against the background of noise and impulse noise // Radiotekhnika. 2026. V. 90. № 8. P. 43−57. DOI: https://doi.org/10.18127/j00338486-202608-05

1. Shirman Ya.D., Manzhos V.N. Teoriya i tekhnika obrabotki radiolokacionnoj informacii na fone pomekh. M.: Radio i svyaz'. 1981. 416 s. (in Russian).
2. Akimov P.S., Bakut P.A., Bogdanovich V.A. i dr. Teoriya obnaruzheniya signalov. Pod red. P.A. Bakuta. M.: Radio i svyaz'. 1984. 440 s. (in Russian).
3. Kay S.M. Fundamentals of statistical signal processing. II: Detection theory. Upper Saddle River: Prentice Hall. 1998. 672 p.
4. Doluhanov M.P. Rasprostranenie radiovoln. Izd. 5-e. M.: Leland. 2021. 336 s. (in Russian).
5. Tihonov V.I., Kul'man N.K. Nelinejnaya fil'traciya i kvazikogerentnyj priem signalov. M.: Sovetskoe radio. 1975. 704 s. (in Russian).
6. Yakushenko S.A., Shevyakov V.D., Sadovnikov V.E., Gladkih D.S. Veroyatnostnaya model' ocenki strukturnoj svyaznosti se-tej radiotekhnicheskih sistem v usloviyah destruktivnyh vozdejstvij. Telekommunikacii i svyaz'. 2025. № 2. S. 65-73 (in Russian).
7. Iofin A.A., Bokov A.S., Ponomarev L.I. Konstruktivnye puti povysheniya nadezhnosti bortovyh radioelektronnyh sistem. Nadezhnost' i kachestvo slozhnyh sistem. 2026. № 2(54). S. 5-25 (in Russian).
8. Ivanutkin A.G., Dem'yanenko A.S. Problemy tekhnicheskogo obespecheniya radiotekhnicheskih sistem dal'nej navigacii. Problemy tekhnicheskogo obespecheniya vojsk v sovremennyh usloviyah. 2021. S. 455-458 (in Russian).
9. Artyushenko V.M., Volovach V.I. Preobrazovanie negaussovskih sluchajnyh processov, signalov i pomekh v differenci-ruyushchih sistemah metodom kumulyantnyh funkcij. Radiotekhnika. 2018. № 11. S. 149-155. DOI: 10.18127/j00338486-201811-26 (in Russian).
10. Kremer I.Ya., Vladimirov V.I., Karpuhin V.I. Moduliruyushchie (mul'tiplikativnye) pomekhi i priem radiosignalov. Pod red. I.Ya. Kremera. M.: Sovetskoe radio. 1972. 480 s. (in Russian).
11. Fomin A.F. Analiz metodov podavleniya negaussovskih pomekh. Mir transporta. 2012. № 3. S. 24-29 (in Russian).
12. Artyushenko V.M., Volovach V.I. Statisticheskie harakteristiki smesi signala i additivno-mul'tiplikativnyh pomekh s negaussovskim harakterom raspredeleniya. Radiotekhnika. 2017. № 1. S. 95-102 (in Russian).
13. Artyushenko V.M., Volovach V.I. Vliyanie mul'tiplikativnyh pomekh na tochnost' izmereniya chastoty kogerentnogo signala. Avtometriya. 2024. T. 60. № 1. S. 84-94 (in Russian).
14. Artyushenko V.M., Volovach V.I. Ocenka vliyaniya mul'tiplikativnyh pomekh na pogreshnost' izmereniya parametrov dvi-zheniya protyazhennyh ob"ektov. Radiotekhnika. 2017. № 2. S. 58-68 (in Russian).
15. Shirman Ya.D. Razreshenie i szhatie signalov. M.: Sovetskoe radio, 1974. 360 s. (in Russian).
16. Chabdarov Sh.M. Poligausovy priemniki proizvol'no fluktuiruyushchih signalov. Izvestiya vuzov. Ser. Radioelektro-nika. 1977. T. 20. № 9. S. 32-38 (in Russian).
17. Shiryaev A.N. Statisticheskij posledovatel'nyj analiz. Izd. 2-e. M.: Nauka. 1976. 272 s. (in Russian).
18. Shiryaev A.N. Veroyatnost'. Izd. 3-e, pererab. i dop. M.: MCNMO. 2004. 519 s. (in Russian).
19. Shiryaev A.N. O stohasticheskih modelyah i optimal'nyh metodah v zadachah skorejshego obnaruzheniya. Teoriya veroyatnostej i ee primeneniya. 2008. T. 53. № 3. S. 417-436 (in Russian).
20. Artyushenko V.M., Volovach V.I. Opisaniya signalov i pomekh v radioliniyah aviacionno-kosmicheskih radiosistem s pomoshch'yu poligaussovyh modelej. Informacionno-tekhnologicheskij vestnik. 2018. № 4(18). S. 3-12 (in Russian).