Identification algorithm for telecommunication systems with uncertain parameters of their vector of state stochastic model
2021 ◽
Vol 2131
(2)
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pp. 022090
Keyword(s):
Abstract The described method of structure identification of the state vector of a telecommunication system stochastic model is based on a posteriori probability density approximation (APDA) by a system of a posteriori moments. An assumption of possible APDA approximation by a class of Pearson distributions resulted in a closed system of moment equations. Implementation of optimal non-linear stochastic object control techniques helped to solve the problem of structural identification. Introduction of the proposed approach into contemporary telecommunication systems will not impose additional requirements on the calculating equipment, thus making this method well-suited for a wide range of applications.
2019 ◽
Vol 4
(1)
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1991 ◽
Vol 89
(5)
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pp. 2280-2284
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Keyword(s):
1998 ◽
1996 ◽
Vol 32
(7)
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pp. 1065-1073
Inversion of seismoacoustic data using genetic algorithms and a posteriori probability distributions
1994 ◽
Vol 95
(2)
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pp. 770-782
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1978 ◽
Vol 68
(2)
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pp. 157
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1999 ◽
Vol 105
(2)
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pp. 1365-1366