Simulation of Continuous Markov Processes in Discrete-Time for Signals Described by Stochastic Differential Equations
We considered the issues associated with methods for solving the problems of representation of continuous Markov processes in discrete-time by the example of radar signals, which are subject to the simultaneous effect of additive and multiplicative noise described by stochastic differential equation...
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Published in | Journal of physics. Conference series Vol. 2096; no. 1; pp. 12162 - 12169 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
IOP Publishing
01.11.2021
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Online Access | Get full text |
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Summary: | We considered the issues associated with methods for solving the problems of representation of continuous Markov processes in discrete-time by the example of radar signals, which are subject to the simultaneous effect of additive and multiplicative noise described by stochastic differential equations. We considered the algorithm, which allows us to carry out computer simulation of fading amplitude, phase and information parameter of the signal in discrete observation time using the example of a continuous frequency-modulated signal, the amplitude of which adheres to the Nakagami distribution that is typical for radar signals under simultaneous effect of additive and multiplicative noise. It is shown that with the help of computer simulation it is possible to create not only optimal algorithms, but also their corresponding optimal structural diagrams, which makes it possible to elevate the processing of radar signals to higher standards. |
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ISSN: | 1742-6588 1742-6596 |
DOI: | 10.1088/1742-6596/2096/1/012162 |