稳健性(进化)
惯性导航系统
计算机科学
控制理论(社会学)
适应性
惯性测量装置
算法
惯性参考系
计算机视觉
人工智能
物理
生物
控制(管理)
化学
基因
量子力学
生物化学
生态学
作者
Yiqing Yao,Xiaosu Xu,Lanhua Hou,Kai Deng,Xiang Xu
出处
期刊:IEEE Transactions on Vehicular Technology
[Institute of Electrical and Electronics Engineers]
日期:2020-07-13
卷期号:69 (10): 10750-10758
被引量:30
标识
DOI:10.1109/tvt.2020.3008755
摘要
To mitigate the Doppler velocity logs (DVL) measurement errors in inertial navigation system (INS)/DVL integrated navigation system under dynamic environment, a simple and precise correction method is proposed. First, the general DVL velocity measurement error model under various dynamics is explored. Then, the corresponding correction scheme is presented, which suits both frequency shift outputs and direct velocity outputs of DVL. Different from the existing approaches, no assumptions are pre-required to describe the regular patterns of the DVL velocity measurement. The attitude and velocity data of INS are well investigated to build the relationship between the DVL velocities at transmitting epoch and receiving epoch. Simulations are conducted to evaluate the effectiveness of the proposed algorithm under various trajectories, where the DVL outputs without correction and the correction methods based on constant velocity assumptions are employed for comparison. The results indicate that the existing correction methods may achieve good navigation accuracy in specific trajectories, where the motion coincides with the assumptions. However, only the proposed correction method well fits all the possible situations, which shows greater adaptability and robustness than any other existing solutions.
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