Experimental analysis of dynamics description methods for Multi-Markov poly-Gaussian probabilistic models
Kazan National Research Technical University named
after A.N. Tupolev (KNRTU-KAI)
The paper is received on December 9, 2014
Abstract: This article provides
justification of the chosen method to describe the dynamics of Multi-Markov
poly-Gaussian probabilistic model. This model is based on the experimental data
of the comparative analysis for the standard deviation of the quadrature signal
prediction of the CDMA One signal components.
Markov processes, poly-Gaussian, CDMA, Multi-Markov
model, Jakes model,
linear non-stationary filtration, Kalman.