Using the Grey Box Technique in Measurement Systems

To increase the usefulness and understanding of sensors and sensor measurement systems, the use of models and advanced signal processing can be effective tools. In the field of grey box technique in measurement systems, the focus is directed on a priori information about different complex parts of the process. We often need to model different parts of the process, in sub-models. This approach often results in effective systems, which are more suitable for the application. In this paper two measurement systems based on grey-box technique are shown. The two cases deal with two separate fields of measurements, namely a non-contact temperature measurement approach and a localization problem. Generally, the models are based on physical laws and often involve nonlinearities. In these cases, we deal with a priori information about the processes involved and focus on the existing sensors