Application of Evolutionary Neural Networks in Integrated Navigation System

摘要：

Performance of conventional Kalman filter,which is used in integrated navigation system, depends on precise system model and accurate observation data. Inaccuracy system model or truseless observation data will cause low precision of Kalman filter,and even lead to divergence. So a new adaptive Kalman filter based on evolutionary artificial neural networks is used in this system. The algorithm is tested by simulations, and the results indicated that the algorithm proposed in this paper can efficiently overcome the shortcomings of conventional Kalman filter with better accuracy.

作者: LIU Jian-juan

作者单位: Department of Electrical Engineering Henan University of Technology Zhengzhou 450007,China

会议类型: 国际会议

会议名称: The 2nd International Symposium on Systems and Control in Aeronautics and Astronautics(第二届航空航天系统与控制国际会议 ISSCAA 2008)

会议地点: 深圳

会议语种:英文

页码: 90-94

在线出版日期: 2008-12-10（万方平台首次上网日期，不代表论文的发表时间）