GNSS/INS自适应智能组合导航算法

doi:10.13190/j.jbupt.2021-157

北京邮电大学学报 ›› 2022, Vol. 45 ›› Issue (2): 1-8.doi: 10.13190/j.jbupt.2021-157

• 综述 • 下一篇

GNSS/INS自适应智能组合导航算法

赵方, 吴凡

北京邮电大学计算机学院(国家示范性软件学院), 北京 100876

收稿日期:2021-07-28 发布日期:2021-12-16
通讯作者: 赵方(1968—),女,教授,博士生导师,邮箱:zfsse@bupt.edu.cn。 E-mail:zfsse@bupt.edu.cn
作者简介:吴凡(1996—),女,博士生。
基金资助:
国家重点研发计划项目(2018YFB0505200);国家自然科学基金项目(61872046)

Adaptive Integrated Navigation Based Artificial Intelligence

ZHAO Fang, WU Fan

College of Computer Science (National Demonstrative Software College), Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2021-07-28 Published:2021-12-16

摘要/Abstract

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。

关键词: 组合导航, 噪声估计, 智能

Abstract: 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.

Key words: integrated navigation, noise estimation, intelligence

中图分类号:

V249.32⁺8

赵方, 吴凡. GNSS/INS自适应智能组合导航算法[J]. 北京邮电大学学报, 2022, 45(2): 1-8.

ZHAO Fang, WU Fan. Adaptive Integrated Navigation Based Artificial Intelligence[J]. Journal of Beijing University of Posts and Telecommunications, 2022, 45(2): 1-8.

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GNSS/INS自适应智能组合导航算法

Adaptive Integrated Navigation Based Artificial Intelligence

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