Information fusion technique based on improved Kalman filter and SVM
HU Ya-xi · Microcomputer Information · 2010
In view of the deficiency existing in safety inspection system,this paper proposed a method for information fusion based on improved Kalman filter and SVM,the sensors in the system are divided into source nodes and sink nodes.In the source,the Kalman filtering are used,and in the sink use SVM.The algorithm is used to reduce the energy consumption and data collision.Simulation result is performed to verity the reliability of this algorithm,and it improves the fusioning precision of wireless sensor network.