C-band polarimetric weather radar calibration using a fuzzy logic fusion of three techniques

The goal of this work is to show the possibility to combine three different calibration techniques to obtain a reliable monitoring of the radar system through the definition of a quality index concept. The fuzzy logic approach uses the idea to convert the calibration error in a so called linguistic variable defined as the impact of it on the parameter estimation. After an inference step, we obtain a quality matrix that represents the quality index of calibration on the observed variables in different part of the system (transmitting and receiving). This information can be extremely important for the remote monitoring and the realtime diagnosis of the radar system state. The output of the procedure is a diagnostic quality index, useful to establish where and when a technical intervention on the radar system is necessary. Results, using copolar and differential reflectivity, are shown for a C-band weather radar operating in Italy.