以INS/GPS/CNS组合导航系统为应用背景,在现有方法的基础上,提出了一种新的模糊自适应的组合导航系统信息融合算法.该系统由三个模糊控制块组成,分别为子滤波器模糊控制块、子滤波器权值模糊推理控制块和信息分配系数模糊控制块。解决了由于模型不准确的情况下滤波精度差的问题,同时又能保证系统的实时性,文中给出了状态方程和量测方程,最后通过软件仿真,结果表明该方法具有高效率、高精度等优点,是一种实时有效的算法.
In view of the application of INS/GPS/CNS integrated navigation system, the paper presented an information fusion technology using fuzzy adaptive algorithm based on existing methods. The system composed of three fuzzy control modules to solve the problem of low accuracy and low speed of filter caused by system model error. The three fuzzy control modules are sub-filter fuzzy module, weights fuzzy module and information sharing scheme fuzzy module. This algorithm establishes the state equation and observation equation respectively, and the result of computer simulation indicates that it is useful with high effectiveness and accuracy.