摘要
介绍了全球卫星导航系统/惯性导航系统(GNSS/INS)自适应智能组合导航算法并进行分类。根据不同方向和侧重点的自适应组合导航算法,将每一类自适应组合导航算法进行细分和比较。详细介绍了各分类中具有代表性的算法,分析了算法的优缺点。指出了自适应组合导航算法研究过程中面临的困难和挑战,展望了该研究领域的发展趋势。
This work first introduces and classifies the adaptive integrated navigation algorithms in global navigation satellite systems and inertial navigation systems. According to the characteristics of the adaptive integrated navigation algorithm in different directions, this work further subdivides and classifies each kind of adaptive integrated navigation algorithm, and concretely introduces the representative algorithm in each class. The advantages and disadvantages of each representative algorithm are analyzed. Finally, this work summarizes the difficulties and challenges of the adaptive integrated navigation, and shed some light on the future research trend in this field.
作者
赵方
吴凡
ZHAO Fang;WU Fan(College of Computer Science(National Demonstrative Software College),Beijing University of Posts and Telecommunications,Beijing 100876,China)
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2022年第2期1-8,共8页
Journal of Beijing University of Posts and Telecommunications
基金
国家重点研发计划项目(2018YFB0505200)
国家自然科学基金项目(61872046)。
关键词
组合导航
噪声估计
智能
integrated navigation
noise estimation
intelligence