1. Model-Aided Localization and Navigation for Underwater Gliders Using Single-Beacon Travel-Time Differences.
- Author
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Sun, Jie, Hu, Feng, Jin, Wenming, Wang, Jin, Wang, Xu, Luo, Yeteng, Yu, Jiancheng, and Zhang, Aiqun
- Subjects
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UNDERWATER gliders , *SUBMERSIBLES , *UNDERWATER navigation , *SPEED of sound , *AUTONOMOUS underwater vehicles , *HUMAN kinematics - Abstract
An accurate motion model and reliable measurements are required for autonomous underwater vehicle localization and navigation in underwater environments. However, without a propeller, underwater gliders have limited maneuverability and carrying capacity, which brings difficulties for modeling and measuring. In this paper, an extended Kalman filter (EKF)-based method, combining a modified kinematic model of underwater gliders with the travel-time differences between signals received from a single beacon, is proposed for estimating the glider positions in a predict-update cycle. First, to accurately establish a motion model for underwater gliders moving in the ocean, we introduce two modification parameters, the attack and drift angles, into a kinematic model of underwater gliders, along with depth-averaged current velocities. The attack and drift angles are calculated based on the coefficients of hydrodynamic forces and the sensor-measured angle variation over time. Then, instead of satisfying synchronization requirements, the travel-time differences between signals received from a single beacon, multiplied by the sound speed, are taken as the measurements. To further reduce the EKF estimation error, the Rauch-Tung-Striebel (RTS) smoothing method is merged into the EKF system. The proposed method is tested in a virtual spatiotemporal environment from an ocean model. The experimental results show that the performance of the RTS-EKF estimate is improved when compared with the motion model estimate, especially by 46% at the inflection point, at least in the particular study developed in this article. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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