On a simulator of a buoyant antenna - satellite wireless channel

A time-varying stochastic framework for modeling wireless channels

“…These processes are a family of distributions that continuously evolve between the fast-and slow-switched processes (8,9). The numerical analysis of systems with random structure can be performed via direct simulation of the SDE using a modified Ozaki scheme [3] which substitutes a locally Gaussian-Markov process at each increment. This local process is obtained by linearizing the global non-Gaussian-Markov process [4].…”

“…There are also diffusion components caused by reflections from adjacent wave walls and random scattering in the atmosphere. Under such conditions it is possible to assume that for a short period of time the attenuation can be described as Nakagami attenuation [3] with the PDF of the signal envelope given by…”

“…Such processes are conventionally treated in system simulation either by representing the stationary statistics based on sampling [1] or by means of a compound channel [2]. This paper expands on the random process-based approach in modeling and numerical simulation of communication effects based for processes with random structure described in [3]. Random processes have a long history of being employed to model various aspects of communication systems at different levels, such as digital modulation constellation jitter, signal attenuation, etc.…”