The improved Markov phenomenological model impulse response of the high frequency communication channel are presented in this work. The model allows for the identification of authorized multipath components by analyzing the combinations of possible values of the correlation parameters. Thus obtained impulse response with fixed parameters of the statistical model generates adequate communication channel during each period of quasi-stationary.
Keywords: model, multipath, identification, Markov process, the impulse response.Citation: Revin V.S., Mezhuev A.M., Korennoi A.V. Model impulse response high frequency communication channel with the identification of parameters of multipath,
This paper discusses the multi-loop adaptation of a telecommunication network and shows how this problem can solved in the network's variable operation conditions by applying generalized indices of information exchange efficiency evaluation (information efficiency indices), tensor methodology, spectral theory of graphs, and coherent models and considering accepted assumptions. The model representation of multi-loop adaptation is structured by levels, proceeding from the commonality of the problems being solved. The elaborated generalized algorithm and tensor orthogonal and imitative models for the telecommunication network of various topologies allow deriving information efficiency functions and evaluate this efficiency on the basis of generalized indices, including information transmission performance coefficient, inflow bandwidth, and band efficiency angle tangent. The modeling results confirm the feasibility and functionality of the suggested methodological tools for organization adaptation on the basis of the integral approach and the system of generalized indices in the context of inflow changes and under destabilizing influences.
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