Multisensor Distributed Fusion Filters for Systems with Stochastic System and Sensor Biases

摘要

Based on three fusion estimation algorithms weighted by matrices, diagonal matrices and scalars, the distributed information fusion Kalman filters for the state and system bias are given for multi-sensor stochastic systems with stochastic system and sensor biases, respectively. They are obtained by the fusion estimation for common components of the transferred multi-model and multi-sensor systems. Furthermore, they are decoupled. A simulation example shows the effectiveness of the algorithms.