Sensor network design for the estimation of spatially distributed processes

satisfactory network connectivity have dominated this line of research and abstracted away from the mathematical description of the physical processes underlying the observed phenomena. The present work aims at bridging this gap and meeting the needs created in the context of the source identification problem. We assume that the paths of the moving sources are unknown, but they are sufficiently smooth to be approximated by combinations of given basis functions. This parametrization makes it possible to reduce the source detection and estimation problem to that of parameter identification. In order to estimate the source and medium parameters, the maximum-likelihood estimator is used. Based on a scalar measure of performance defined on the Fisher information matrix related to the unknown parameters, which is commonly used in optimum experimental design theory, the problem is formulated as an optimal control one. From a practical point of view, it is desirable to have the computations dy...

• Type: Journal
• Year: 2010
• Where: AMCS
• Authors: Dariusz Ucinski, Maciej Patan
• Keywords: AMCS 2010, Mathematics, Parameter, Satisfactory Network Connectivity, Source Identification Problem