Application of Kalman Filter to Multisensor Fusion Technology

A new measurement technology was proposed.By analyzing key technologies of Kalman filter and data fusion for further improving measurement accuracy,an estimating method was presented to improve the accuracy.The simulation results demonstrate that the weighted fusion algorithm on the basis of Kalman filter has a better estimating accuracy,even less accurate data participation of the multi-sensor fusion can also significantly improve the accuracy.It is a useful tool for the sophisticated multi-parameter system.