Adaptive Two-Stage Kalman Filter in the Presence of Random Bias

摘要：

The two-stage Kalman filter requires the accurate information of unknown random bias. Unfortunately, this algebraic constraint is seldom satisfied for practical systems. The adaptive solution of estimating a set of dynamic state in the presence of a random bias employing a two-stage Kalman estimator is addressed. The solution performed well when the information of unknown random bias was inaccurate. The validity of the solution is verified with a simulative example.

关键词： Two-stage Kalman estimation random bios adaptive Kalman filter

作者: HU Yi-ming Qin Yong-yuan

作者单位: College of Automation of Northwestern Polytechnical University NWPU XIAN China

会议类型: 国际会议

会议名称: 2010 3rd IEEE International Conference on Computer Science and Information Technology(第三届IEEE计算机科学与信息技术国际会议 ICCSIT 2010)

会议地点: 成都

会议语种:英文

页码: 135-138

在线出版日期: 2010-07-07（万方平台首次上网日期，不代表论文的发表时间）