Adaptive Eztended Kalman Filtering for SINS/GPS Integrated Navigation Systems

摘要：

An improved Adaptive Extended Kalman filtering algorithm is proposed here to estimate the measurement noise on-line for the SINS/GPS integrated navigation systems. The measurement remnant chi-square method is used to automatically adjust the sliding window basing on the innovation sequence. The experiment result shows that this new approach could improve the accuracy of the integrated navigation system effectively when the measurement noise is unknown.

作者: YanLing Hao Zhen Guo Feng Sun Wei Gao

作者单位: College of Automation, Harbin Engineering University

会议类型: 国际会议

会议名称: The Second International Joint Conference on Computational Science and Optimization(CSO 2009)(2009 国际计算科学与优化会议)

会议地点: 三亚

会议语种:英文

页码: 1242-1244

在线出版日期: 2009-04-24（万方平台首次上网日期，不代表论文的发表时间）