Experimental analysis of dynamics description methods for Multi-Markov poly-Gaussian probabilistic models

 

S.V. Kozlov

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.

Keywords: Markov processes, poly-Gaussian, CDMA, Multi-Markov poly-Gaussian model, Jakes model, linear non-stationary filtration, Kalman.