Modellbasierte Quellenverfolgung in räumlich ausgedehnten Phänomenen mittels Sensoreinsatzplanung

Space-time continuous phenomena such as pollution loads or temperature distributions often originate from unknown and possibly movable sources. In many real-world scenarios, however, information about the location of such sources can only be gained indirectly by monitoring the induced physical phenomena using distributed sensing systems, e. g., stationary or mobile sensors. In this article, a model-based approach for real-time source localization and target tracking is introduced. To maximize specific information gained from the measurements, this approach strongly relies on a non-myopic sensor management methodology, which allows for tracking moving sources in an efficient and accurate manner