Joint localization and tracking method of BeiDou-based PR for maritime target
Author:
Affiliation:

1.School of Communication and Information Engineering,University of Electronic Science and Technology of China,Chengdu Sichuan 611731,China;2.Department of Electronic Engineering,Tsinghua University,Beijing 100084,China

Funding:

Ethical statement:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
    Abstract:

    With the global deployment of the BeiDou navigation system, Passive Radar(PR) has gained access to all-weather, continuous, and wide-coverage opportunistic signals, demonstrating significant potential for maritime surveillance. However, the extremely low signal-to-noise ratio and nonlinear spatio-temporal variations challenge the effectiveness of conventional radar localization and tracking methods. A Joint Localization and Tracking(JLT) method is proposed for maritime targets by fusing multi-satellite illuminators. The approach involves long-time coherent integration of echoes into the Difference Bistatic Range(DBR),Doppler Centroid(DC),and Doppler Frequency Rate(DFR) domain. Leveraging the consistency of DFR, the multi-static results are projected and non-coherently fused in the X- Y- V r domain to achieve initial target localization and velocity estimation. Subsequently, a Particle Filter(PF) is employed to address the nonlinear measurement model of PR, enabling precise multi-satellite tracking of moving targets. Simulation results confirm that the proposed method enhances the performance of state estimation and significantly reduces trajectory estimation errors.

    Reference
    Related
    Cited by
Get Citation

李奥成,黄川,李中余,杨青,安洪阳,武俊杰,杨建宇.基于北斗导航的PR海面目标联合定位与跟踪方法[J]. Journal of Terahertz Science and Electronic Information Technology ,2025,23(8):793~803

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
History
  • Received:March 13,2025
  • Revised:May 08,2025
  • Adopted:
  • Online: September 01,2025
  • Published: