Multi-sensor information fusion algorithm based on federal Kalman filter and its application
Xiaorui Huang · Dianji yu kongzhi xuebao · 2001
In view of the heavy calculation and fault-data spread in multi-sensor integrated sys- tem when using general Kalman filter, a new method of optimum parameter estimate based on information fusion by means of federal Kalman filter is presented. Firstly, the basic principle and four frames of the federal Kalman filter is introduced, then the algorithm is given. Simulation results show this method is very useful in project because it can improve accuracy and reliability, at the same time it has high fault-tolerant and adaptive ability.