Modelling and design of sensor-fusion: a novel computational paradigm based on interactions, and Karhunen-Loeve transform

Abstract

A novel computational paradigm based on the composition of interactions, and Karhunen-Loeve transform is proposed in this paper. This paradigm has been developed with the purpose of achieving a suitable representation in the modelling, and the design of sensor-fusion. The effectiveness of this approach is guaranteed by the composition of these two representations, which enables the regulation of nondeterministic behaviors of complex systems by means of several properties, and capabilities, at various levels of abstraction, and with different expressiveness degrees. This characterization represents a new contribution to the development of systematical representations, based on rigorous mathematical formulations that is defined with the purpose of reducing the empiric aspects of the modelling, and design of the sensor-fusion. The effectiveness of this approach is briefly verified by means of a case study that is based on a general representation equipped with KLT-based processing