多传感器系统的延长周期全信息融合滤波

Full information fusion filtering based on period prolongation of multi-sensor system

提出了基于系统状态预测信息、子系统状态预测信息及量测信息的多传感器系统全信息融合滤波方法。针对多传感器系统中子系统状态估计信息与系统状态预测信息之间存在相关性的问题,采用延长系统融合器融合周期的方法来弱化它们之间的相关性,再进行直接融合来获得系统状态估计。基于"GPS姿态敏感器+陀螺"模式组合的卫星姿态确定系统的仿真结果表明了延长周期全信息融合滤波方法的有效性。

A full information fusion filtering method based on the predictive information of the system state, the predictive information of sub-systems states and measnremental imformation for the multi-sensor system is presented in this paper. In allusion to correlation problem between state estimation information of the sub-system and state predictive information of the system in the multi-sensor system, a period prolongation method is used to weaken this correlation, and then the system state estimation is obtained by the direct fusion of the information. The simulation results of satellite attitude determination system based on the combination of GPS and gyroscope show the effectiveness of the full information fusion filtering based on the period prolonga-tion.