Your Location：
Home >
Browse articles >
Frequency of arrival-based state estimation and trajectory optimization for the navigation of autonomous marine vehicles
Regular Papers | Updated：2025-11-18

    • Frequency of arrival-based state estimation and trajectory optimization for the navigation of autonomous marine vehicles

      Enhanced Publication
    • 基于到达频率的自主海洋航行器状态估计与轨迹优化导航方法
    • “In the field of marine vehicle navigation, this paper proposes a moving AUV state estimation method based on the trajectory optimization of the USV. The innovation lies in a tailored cost function grounded in observability analysis via the Cramér–Rao lower bound (CRLB) and geometric constraints, which provides solutions to solve the AUV tracking problem.”
    • Frontiers of Information Technology & Electronic Engineering   Vol. 26, Issue 10, Pages: 2000-2015(2025)

    • DOI：10.1631/FITEE.2500235    

      CLC： U675.6;TP242

    • Received：12 April 2025，

      Revised：2025-08-22，

      Published：2025-10

    Scan QR Code

  • Sitian WANG, Huarong ZHENG, Jianlong LI, et al. Frequency of arrival-based state estimation and trajectory optimization for the navigation of autonomous marine vehicles[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(10): 2000-2015. DOI： 10.1631/FITEE.2500235.

  •  
  •  

0

Views

42

Downloads

0

CSCD

PlumX

>
Alert me when the article has been cited
Submit
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Trajectory optimization with constraints for alpine skiers based on multi-phase nonlinear optimal control
Evaluating acoustic communication performance of micro autonomous underwater vehicles in confined spaces

Related Author

CAI Cong-ying
YAO Xiao-lan
Qiu-yang TAO
Yue-hai ZHOU
Feng TONG
Ai-jun SONG
Fumin ZHANG

Related Institution

School of Automation, Beijing Institute of Technology
School of Electrical and Computer Engineering, Georgia Institute of Technology
College of Ocean and Earth Sciences, Xiamen University
Department of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa
0