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Telecommunications and Radio Engineering
SJR: 0.203 SNIP: 0.44 CiteScore™: 1

ISSN Печать: 0040-2508
ISSN Онлайн: 1943-6009

Выпуски:
Том 79, 2020 Том 78, 2019 Том 77, 2018 Том 76, 2017 Том 75, 2016 Том 74, 2015 Том 73, 2014 Том 72, 2013 Том 71, 2012 Том 70, 2011 Том 69, 2010 Том 68, 2009 Том 67, 2008 Том 66, 2007 Том 65, 2006 Том 64, 2005 Том 63, 2005 Том 62, 2004 Том 61, 2004 Том 60, 2003 Том 59, 2003 Том 58, 2002 Том 57, 2002 Том 56, 2001 Том 55, 2001 Том 54, 2000 Том 53, 1999 Том 52, 1998 Том 51, 1997

Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v79.i10.20
pages 847-853

PROBABILISTIC MEASURE FOR DESCRIPTION OF MARKS OF ALIVE HUMAN IN SIGNALS OF RADAR FOR RESCUER

Oleg Sytnik
O.Ya. Usikov Institute for Radio Physics and Electronics, National Academy of Sciences of Ukraine, 12 Academician Proskura St., Kharkiv 61085, Ukraine
I. Vyzmitinov
O.Ya. Usikov Institute for Radio Physics and Electronics, National Academy of Sciences of Ukraine, 12 Academician Proskura St., Kharkiv 61085, Ukraine

Краткое описание

The problem of adequate mathematical description of informative stochastic processes in Doppler spectrum of radar's signal is discussed. Smoke, fog, snow avalanche and sand scree, collapses of brick and concrete walls and other disasters do not allow the use of optical sensors to detect injured persons. Electromagnetic waves of decimeter band penetrate these obstacles well. The processes of breathing and heartbeat according to Doppler effect caused phase fluctuations in the reflected signals. The idea of analyzing Doppler phase spectrum of a signal reflected from a person is put on rescuer radar's operation algorithm. High sensitivity and jammer suppression of the sensor achieved by using pseudorandom phase manipulation of continuous sounding signals and coherent mode of digital signal processing. The properties of the spectra of human breathing and heartbeat were studied. To synthesize a model of a non-stationary stochastic process, the mathematical apparatus of the theory of probability measures is used. The description is based on a generalized distribution function of a random stationary non-Gaussian process. The model is a generalization of the local functions of Rayleigh, Rice, Hoyt, Markum, Nakagami, etc. The accuracy of the estimates is investigated theoretically and verified experimentally. It is shown that by controlling the parameters of the model it is possible to generate random sequences that satisfy various distribution functions. Relations for generating random sequences of generalized distribution function are obtained.

ЛИТЕРАТУРА

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  3. Sytnik, O.V., Vyzmitinov, I.A., and Myroshnichenko, Ye.I., (2009) Doppler Spectra of Human Breathing and Stochastic Models for their Description, Telecommunications and Radio Engineering, 68(9), pp. 779-788.

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