Publicado 12 números por año
ISSN Imprimir: 0040-2508
ISSN En Línea: 1943-6009
Indexed in
THE USE OF SEMI-MARKOV NESTED PROCESSES FOR THE DESCRIPTION OF NON-STATIONARY ACOUSTIC NOISE
SINOPSIS
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.
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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).