Modeling received signal strength for indoors utilizing hybrid neuro-fuzzy network

The performance of the systems which based on wireless signals such as localization system relies mostly on the propagation model. Radio signals can be mainly difficult to model because the channel varies significantly with the environment such as indoors. This paper studies two popular propagation models for indoor environments. Practically, these models do not estimate the radio signal fading properly. For that, we proposed a neuro-fuzzy based model as a propagation model which simulates the received signal strength for indoor environments. Compared with the empirical measurements, the proposed model shows higher accuracy in prediction of received signals than other existing channel models.