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This paper deals with the statistical characterization of a stochastic process which is a product of a Rice process and a lognormal process. Thereby, we consider the more general case where the two Gaussian noise processes describing the Rice process are correlated. The resulting process will be named as extended Suzuki process, which can be used as suitable statistical model for describing the fading behaviour of large classes of frequency non-selective land mobile satellite channels. In particular, the statistical properties (e.g. probability density function of amplitude and phase, level-crossing rate, and average duration of fades) of the Rice process with cross-correlated components as well as of the proposed extended Suzuki process are investigated. Moreover, all statistical model parameters are optimized numerically to t the cumulative distribution function and the level-crossing rate of the underlying analytical model to measured data collected in di erent environments. Finally, an e cient simulation model is presented which is in excellent conformity with the proposed analytical model. IEEE Transactions on Vehicular Technology

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