Modeling indoor vegetation re-radiation pattern with dynamic multivariate polynomial regressions

Modeling vegetation re-radiation patterns has been a recurrent problem for industry and radio planners. Nowadays, several reliable models exist, but they are very complex to implement and need extensive measurement campaigns to validate their results, or they are too simplistic. The proposal of this contribution is to introduce the use of dynamic multivariate polynomial regressions to fit vegetation re-radiation patterns accurately in a simple form. A novel application is presented, which is able to adapt the complexity of the model obtained to any vegetation specie or frequency under study.