Study on Information Fusion Algorithm in Embedded Integrated Navigation System

摘要：

An improved adaptive algorithm is proposed for GPS/INS integrated navigation system. In order to meet the requirement of precision and stability, a convergence criterion is presented for the combination of a simplified adaptive Sage-Husa filter and exponential weighting fading memory filter. The hardware structure of the embedded GPS/INS integrated navigation system and structure of information fusion algorithm are given. Simulation shows that this solution demonstrates superior performance in filtering precision and stability compared to Kaiman filter, and navigation trajectory in experiment matches well with the electronic map.

作者: Jian Wang Jiang Liu Bo-gen Cai

作者单位: State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Bejing 100044, China

会议类型: 国际会议

会议名称: International Conference on Intelligent Computation Technology and Automation(2008 智能计算技术与自动化国际会议 ICICTA 2008)

会议地点: 长沙

会议语种:英文

页码: 2298-2301

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）