摘要： 提出了将神经网络模型(NNM)概念应用于组合导航系统,并给出了基于RBP网的NNM训练过程,基于传统模型的卡尔曼滤波算法与神经网络相结合,有效地解决了GPS信号被屏蔽时的航迹预测问题,最后对GPS/DR组合导航系统进行动态仿真,仿真结果表明,采用该算法的组合导航系统定位精度高、可靠性好。
关键词:
组合导航,
神经网络,
卡尔曼滤波,
航位推算
Abstract: A NNM(neural network model) based on the robust back-propagation network is designed for integrated navigation system.NNM is used for parameter estimation instead of traditional KF during the period that the global positioning system(GPS) signal is unavailable.A dynamic simulation indicates that the algorithm outperforming the simpler Kalman filter.
中图分类号:
臧荣春;崔平远;. 组合导航系统NNM信息融合算法[J]. , 2005, 31(23): 27-29.
ZANG Rongchun,CUI Pingyuan. NNM Information Fusion Algorithm of Integrated Navigation System[J]. , 2005, 31(23): 27-29.