Distributed ensemble Kalman filter for multisensor application

Abstract

In this paper, a distributed ensemble Kalman filter (DEnKF) is proposed for sensor fusion in a sensor network. To solve data fusion problem in distributed sensor network, consensus filter is implemented. To estimates nodes' states, each node uses local and neighbors' information rather than the information from all nodes in the network. So, due to this property, this proposed algorithm is applicable to large scale problem. Simulation results demonstrate the effectiveness of DEnKF algorithm.