Inverse Gaussian-based composite channel model and time series generator for land mobile satellite systems under tree shadowing PROJECT TITLE :Inverse Gaussian-based composite channel model and time series generator for land mobile satellite systems under tree shadowingABSTRACT:In this study, a brand new composite channel model for land mobile satellite (LMS) systems underneath tree shadowing is proposed utilising the inverse Gaussian (IG) distribution to model the shadowing component. Using the experimental knowledge of received power under tree shadowing at L-band, which were administrated at Stromovka Park in Prague, the Czech Republic, the assumption of the IG distribution for the description of the primary-order statistics of large-scale effects is investigated and validated. A new LMS channel model is developed as a total of a symbol experiencing IG shadowing and a signal underneath Rayleigh multipath effects. Moreover, a strategy to get accurate time series of the received signal envelope using the IG distribution is presented. Such methodology and usually time series generators will be used for the evaluation of system's performance and for finish-to-finish simulations. Finally, it is shown that the proposed time series generator reproduces the first-order and second-order statistics of the LMS channel model with a very sensible accuracy. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Balanced quad-band diplexer with wide common-mode suppression and high differential-mode isolation Fast multi-objective surrogate-assisted design of multi-parameter antenna structures through rotational design space reduction