2 to 16 GHz Microwave Line-of-Sight Path Loss Prediction on Urban streets by Fuzzy Logic Models

This paper proposes a method to model the path loss characteristics on urban streets in microwave band. We applied the concept of fuzzy logic to predict an unknown path loss from a set of known path loss. The input fuzzy sets were classified into five sets, namely distance between transmitter and receiver, frequency, time of day, transmitting antenna height and receiving antenna height. These inputs are then inferenced into output path loss via linguistic rules which were trained by measurement. To check the proposed model, we compared the fuzzy prediction with another measurement. The results shown that the fuzzy logic models provided a better prediction.