ORIGINAL RESEARCH article
Front. Mar. Sci.
Sec. Ocean Observation
Volume 12 - 2025 | doi: 10.3389/fmars.2025.1572695
This article is part of the Research TopicRemote Sensing Applications in Marine Ecology Monitoring and Target SensingView all 15 articles
Vector Tracking Loop of Shipborne Satellite Navigation Receiver Based on Kalman Filter-Divided Difference Filter for Anti-Interference Enhancement
Provisionally accepted
- Shanghai Maritime University, pudong, China
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
Due to the complex and ever-changing maritime environment, ships heavily rely on stable and reliable navigation systems during their voyages to ensure safe and efficient navigation. However, during maritime navigation, satellite navigation signals are often subject to interference and obstruction, leading to degraded positioning accuracy or untrustworthy navigation data. To address the pressing need for high-precision and reliable navigation in maritime applications, this paper proposes a bidirectional smoothing filter vector tracking loop (VTL) structure based on a combination of Kalman filter (KF) and a Divided Difference filter (DDF). This approach enhances the responsiveness of the Kalman filter under high-noise conditions, and significantly improves the accuracy and robustness of the navigation system through bidirectional collaborative filtering. In practical shipborne navigation experiments, the proposed method was compared with the traditional Scalar Tracking Loops (STL), traditional VTL, and KF-based VTL approaches. The results demonstrate that the proposed method offers significant improvements in horizontal positioning and velocity accuracy. Compared with the KF-based VTL method, the proposed approach achieved an 83.20% enhancement in the positioning accuracy and a 60.00% improvement in the horizontal velocity accuracy.
Keywords: Vector tracking loop, GNSS, Kalman filter, Divided difference filter, Reliable navigation
Received: 07 Feb 2025; Accepted: 08 Sep 2025.
Copyright: © 2025 Wu, Liu, Hu and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Yuan Hu, Shanghai Maritime University, pudong, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.