Open AccessKey Techniques of SINS/DVL Integrated Navigation System
Author(s) -
Wanli Li,
Mingjian Chen,
Yun Li
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2095/1/012034
Subject(s) - key (lock) , inertial navigation system , computer science , navigation system , sensor fusion , underwater , inertial measurement unit , real time computing , artificial intelligence , computer vision , systems engineering , engineering , inertial frame of reference , geography , computer security , physics , archaeology , quantum mechanics
Doppler Velocity Log (DVL) aided Strapdown Inertial Navigation System (SINS) is commonly used for the applications of Autonomous Underwater Vehicles (AUVs). In lack of other aiding sensors, how to maintain precise integrated navigation is still a challenge issue. In this paper, the structure and basic principles of the SINS is presented. Alignment calibration of SINS and DVL, fast in-motion alignment and data fusion are key factors which has great influence on the navigation accuracy. Research efforts taken in these fields in recent years are surveyed. This paper may provide a firm foundation for the researchers in related areas.