In this paper,we propose a distributed Kalman Filter based algorithm,known in literature as Consensus Filter,applied on a sensor network. Distributing the estimation of the state of the nodes, which can be still or dynamic,is a crucial target respect to computation and energetic capabilities of typical commercial nodes. After introducing the general and analytic concepts of this filter, we show simulations results and real data based on experiments.
Perillo, D., DI ROCCO, M., Pascucci, F. (2007). SENSOR NETWORKS LOCALISATION AND TRACKING VIA CONSENSUS UPDATE. In Proceedings of 6th IFAC Symposium on Intelligent Autonomous Vehicles (2007) [10.3182/20070903-3-FR-2921.00026].
SENSOR NETWORKS LOCALISATION AND TRACKING VIA CONSENSUS UPDATE
PASCUCCI, Federica
2007-01-01
Abstract
In this paper,we propose a distributed Kalman Filter based algorithm,known in literature as Consensus Filter,applied on a sensor network. Distributing the estimation of the state of the nodes, which can be still or dynamic,is a crucial target respect to computation and energetic capabilities of typical commercial nodes. After introducing the general and analytic concepts of this filter, we show simulations results and real data based on experiments.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
