Research of INS/CNS/SMN Adaptive Integrated Navigation Algorithm for Sea Area

被引：0
|
作者：
Tian, Zhaoxu [1 ]
Cheng, Yongmei [1 ]
Liu, Nan [1 ]
Yao, Shun [1 ]
Bai, Weijin [2 ]
Zhuang, Ruowang [3 ]
Dai, Li [3 ]
机构：
[1] Northwestern Polytech Univ, Coll Automat, Xian 710129, Peoples R China
[2] Texas Instruments Inc, Shanghai 200120, Peoples R China
[3] Shanghai Electromech Engn Inst, Shanghai 201109, Peoples R China
来源：
2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC) | 2021年
基金：
中国国家自然科学基金;
关键词：
Integrated navigation; cloud and fog model; sea area landmarks; automatic classification model;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：3368 / 3373
页数：6
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