Adaptive Integrated Navigation Based Artificial Intelligence

doi:10.13190/j.jbupt.2021-157

Journal of Beijing University of Posts and Telecommunications ›› 2022, Vol. 45 ›› Issue (2): 1-8.doi: 10.13190/j.jbupt.2021-157

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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

Abstract

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

CLC Number:

V249.32⁺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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