北京大学学报（自然科学版）2017，Vol.53Issue(5)：873-880,8.DOI:10.13209/j.0479-8023.2017.016
一种基于贝叶斯估计的地磁辅助惯性导航算法
A Bayesian Estimation-Based Algorithm for Geomagnetic Aided Inertial Navigation
摘要
Abstract
For existing algorithms are difficult to satisfy the applied requirements, a Bayesian estimation-based algorithm for geomagnetic aided inertial navigation is proposed for aerocraft navigation. The core idea is to convert position estimation to probability estimation. A position correction strategy is also provided in this algorithm. Simulation experiments were performed in which measured data were used. Results show that the algorithm has an average navigation accuracy of 89 meters and spend average 156 seconds for first correction the INS (inertial navigation system). In addition, the performance of the algorithm is not sensitivity to initial estimation errors.关键词
贝叶斯估计/地磁辅助惯性导航算法/概率估计Key words
Bayesian estimation/geomagnetic aided inertial navigation algorithm/probability estimation分类
天文与地球科学引用本文复制引用
刘岳峰,郑培晨..一种基于贝叶斯估计的地磁辅助惯性导航算法[J].北京大学学报（自然科学版）,2017,53(5):873-880,8.基金项目
国家重点基础研究发展计划(613115030203)和国家自然科学基金(U1433102)资助 （613115030203）
