The main benefits of the project are the development of advanced validated physical-statistical propagation models to be used for systems studies. Specific environments such as maritime, aeronautical and urban have been considered.
In this study, two types of achievements have been reached:
- From a scientific point of view, several physical-statistical propagation channel models have been developed or improved:
- The aeronautical model based on a GSCM.
- The maritime model based on similar GSCM principle as the aeronautical one and implementing a model for the movement of the ship and sea waves.
- The land propagation channel model for pedestrian/vehicular in urban or tree-sided road environment has been built, composed of both updated and entirely new elementary models:
-UTD is used for building and other obstacles masking (poles, lampposts, vehicles, tree trunk masking …), attenuation considered through ray-tracing and attenuation coefficient. Scattering by trees considered by a simple GSCM model with pre-calculated parameters.
-The new 3CM model has been integrated for building façade scattering, whereas a GSCM approach in the UCL model is an alternative for the same effect.
- For terrestrial components, a CGC module based on an adaptation of the Winner model.
- Standard antennas, and modified pattern for installed antennas on platform can be considered.
- From a scientific point of view, several physical-statistical propagation channel models have been developed or improved:
- All channel models, with a simple GUI allowing to describe the simulated environment and RF link (including antenna patterns) and to define all the model configuration parameters. .
- A large set of Matlab post-processing modules for analysing CIRs or time-series from the main modules (e.g. diversity schemes or interfacing external modules to analyse system issues).
- Several visualisation Matlab modules
The main interests of the physical-statistical approaches allow to study either typical generic environment, or specifically built environment (to compare with measurements for example); and allows extending the validity of the models to different scenarios, for instance for frequency range.