目前，基于卡尔曼滤波理论设计的组合导航系统有效提高了导航系统的性能价格比。
Nowadays integrated navigation system based on Kalman Filtering theory has efficiently increased the cost performance ratio.
鉴于常规卡尔曼滤波算法组合导航系统数据融合算法中，存在易于发散的缺陷，尝试将遗传优化人工神经网络引入组合导航系统中。
As the conventional Kalman filter is liable to get divergence in integrated navigation system data fusion, an artificial neural network based on the genetic algorithms was applied in the system.
采用了卡尔曼滤波为核心算法的数据融合，来提高组合导航系统的定位精度和可靠性。
This system takes the Kalman filter as core algorithm to fuse data so that the positioning accuracy and system reliability can be improved.
应用推荐