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Telecommunications and Radio Engineering
SJR: 0.202 SNIP: 0.2 CiteScore™: 0.23

ISSN 印刷: 0040-2508
ISSN オンライン: 1943-6009

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Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v78.i11.80
pages 1015-1025

THE USE OF SEMI-MARKOV NESTED PROCESSES FOR THE DESCRIPTION OF NON-STATIONARY ACOUSTIC NOISE

V. I. Lutsenko
O.Ya. Usikov Institute for Radio Physics and Electronics, National Academy of Sciences of Ukraine, 12 Academician Proskura St., Kharkiv 61085, Ukraine
I. V. Lutsenko
O.Ya. Usikov Institute for Radio Physics and Electronics, National Academy of Sciences of Ukraine, 12 Academician Proskura St., Kharkiv 61085, Ukraine
M. F. Babakov
National Aerospace University (Kharkov Aviation Institute), 17, Chkalov St., Kharkiv, 61070, Ukraine
Y. Luo
V.N. Karazin Kharkiv National University, 4 Svobody Sq., Kharkiv 61022,Ukraine
A. Sobolyak
State Enterprise Kharkiv Morozov Machine Building Design Bureau, 126 Plekhanovskaya St., Kharkiv 61001, Ukraine

要約

Interference to acoustic detection systems, which are currently showing increasing interest, is created by the natural noise (wind, rain) and anthropogenic sources (human, animal, equipment), from which useful signals must be extracted (technical noise, the sound of gunshots). Both interference and useful signals are essentially non-stationary processes. In most cases, due to insufficient research on their characteristics, there are no simulation models and appropriate description methods. They are the subject of research and description in this work. This paper presents the experimental results of studying statistical characteristics (spectrum, distribution law, their numerical characteristics), depending on the weather conditions and the observed geometry of the noise source. Using the nested semi-Markov process, a simulation model of non-stationary acoustic noise generated by natural and anthropogenic objects is proposed. The results show that the proposed model satisfactorily describes the acoustic noise caused by wind, rain, leaves of trees, the footsteps of people and animals, as well as the sounds of shots. It is shown that the noise of the wind, the foliage of trees, the steps of a person and the sounds of shots from automatic weapons are satisfactorily described by the proposed model. The basis is a physical experiment combined with mathematical modeling. The conclusion is that nested semi-Markov processes can be used to describe unstable acoustic noise caused by the natural noise and anthropogenic sources.

参考

  1. Lutsenko, V.I., (2008) Simulation model of the backscatter signal from the sea surface, Journal Achievements of Modern Radioelectronics, 4, pp. 59-73, (in Russian).

  2. Lutsenko, V.I., Khomenko, S.I., Zatserklyany, A.Ye., and Lutsenko, I.V., (2005) Simulation Statistical Model of Reflection from the.

  3. Kravchenko, V.F., Lutsenko, V.I., Lutsenko, I.V., Krivenko, E.V. et al., (2015) Simulation model of the backscatter signal from land, Physical Bases of Instrumentation, 4(17), pp. 3-29, (in Russian).

  4. Kravchenko, V.F., Lutsenko, V.I., Masalov, S.A., and Pustovoit, V.I., (2013) Analysis of non-stationary signals and fields using nested semi-Markov processes, Reports of the Academy of Sciences, 453(2), pp. 151-154, (in Russian).

  5. Kravchenko, V.F., Kravchenko, O.V., Lutsenko, V.I., Lutsenko, I.V. et al., (2014) Restoration of information parameters of natural environments using atomic and WA-systems of functions. Part I. Application of the theory of semi-Markov fields and finite functions for the description of non-stationary processes, Physical Bases of Instrumentation, 3(11), pp. 3-17, (in Russian).

  6. Kravchenko, V.F., Lutsenko, V.I., and Lutsenko, I.V., (2015) Scattering of Radio Waves by the Sea and the Detection of Objects on its Background, Moscow, Russia: Fizmatlit, 448 p., (in Russian).

  7. Korolyuk, V.S. and Turbin, A.F., (1976) Semi-Markov Processes and their Applications, Kyiv, Ukraine: Naukova Dumka, 184 p., (in Russian).

  8. Kravchenko, V.F., Kravchenko, O.V., Lutsenko, V.I., Lutsenko, I.V. et al., (2016) Detection of signals against the background of non-stationary non-Gaussian interference from the underlying surface, Physical Bases of Instrumentation, 5(21), pp. 23-39, (in Russian).


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