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Generalized fading channel model with application to UWB

To date, a number of statistical UWB channel models have been proposed. However, when compared with measurement data, inconsistencies are observed between theoretical model and practical measurement. In this paper, a novel statistical UWB channel model is proposed based on current measurement results, one which overcomes the inconsistencies of previous modelings. Some key features of the proposed model include: (1) the arrival time of each resolvable path is calculated using a 2-state Markov model-each state of the model characterizes a different likelihood of arrival based on a unique Poisson distribution (this accounts for the clustering property of paths observed in UWB channel measurements), and (2) individual multipath components demonstrate powers that follow a gamma distribution with an average power determined by an exponential decay. Furthermore, the proposed channel model represents a generalized model. By simply updating the initial parameter setting, other commonly used channel models (both narrowband and wideband) can be derived from our channel model.