IMPROVEMENT OF HIDDEN MARKOV MODEL EVALUATION OF THE MOBILE SATELLITE CHANNEL BY RESORTING TO A TRANSITION LOCALISATION METHOD (TuePmPO3)

Author(s) : Clémence Alasseur (Supélec, France) Lionel Husson (Supélec, France)

Abstract : The mobile satellite channel has underlying Markovian prop-erties and can then be represented by a Hidden Markov model (HMM). A challenging problem consists in estimating the model parameters from experimental data, especially when these parameters are not easily identifiable. In these cases, classification methods like k-means or scalable clus-tering, which are considered in this paper, show poor results when applied to the channel signal directly. We show that the detection of change-points of the signal, i.e. the detection of transitions between the model states, in a preliminary step, improves the estimation of the model parameters. We thus propose a method of model estimation including the detec-tion of change-points that enables a better modelling of the satellite channel.

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