@inproceedings{2f14278cebc340c09957e2dfeb9b7520,
title = "Research of INS/CNS/SMN Adaptive Integrated Navigation Algorithm for Sea Area",
abstract = "In this paper, a novel INS/CNS/SMN adaptive integrated navigation algorithm is proposed for long term and high precision navigation in sea area. The structure of INS/CNS/SMN integrated navigation system is established in the algorithm. The cloud and fog model in the Nanhai Sea area is constructed for CNS availability. The three types of sea area landmarks are defined, and the corresponding matching methods and strategies of these landmarks are given. At the same time, an automatic classification model of sea area landmarks based on SVM is also designed. The INS/CNS/SMN adaptive integrated navigation algorithm in sea area is simulated and verified in different altitudes and trajectories. The results show that CNS and SMN can adaptively help INS for long term and high precision navigation.",
keywords = "automatic classification model, cloud and fog model, Integrated navigation, sea area landmarks",
author = "Zhaoxu Tian and Yongmei Cheng and Nan Liu and Shun Yao and Weijin Bai and Ruowang Zhuang and Li Dai",
note = "Publisher Copyright: {\textcopyright} 2021 Technical Committee on Control Theory, Chinese Association of Automation.; 40th Chinese Control Conference, CCC 2021 ; Conference date: 26-07-2021 Through 28-07-2021",
year = "2021",
month = jul,
day = "26",
doi = "10.23919/CCC52363.2021.9549635",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "3368--3373",
editor = "Chen Peng and Jian Sun",
booktitle = "Proceedings of the 40th Chinese Control Conference, CCC 2021",
}