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ISSN Печать: 0040-2508
ISSN Онлайн: 1943-6009
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PROBABILISTIC MEASURE FOR DESCRIPTION OF MARKS OF ALIVE HUMAN IN SIGNALS OF RADAR FOR RESCUER
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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.
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Sytnik O., Optimal nonlinear fi ltering of stochastic processes in rescue radar, RADIOFIZIKA I ELEKTRONIKA, 26, 3, 2021. Crossref