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Ultra-fast observation orbit refinement model established on DOP value for GNSS system

Author

Listed:
  • Dib Djamel Eddine

    (Djillali Liabes University, Sidi Bel Abbes, Algeria)

  • Djebbouri Mohamed

    (Djillali Liabes University, Sidi Bel Abbes, Algeria)

  • Taleb Ahmed Abddelmalik Chen

    (Laboratory of automatics, Mechanical and Computer Science, Valencienne University, Valencienne, France)

Abstract

Global Navigation Satellite System (GNSS) ultra-fast orbit is an important parameter for near-real-time positioning and its timeliness and accuracy are the key issues to be solved the phenomenon of reduced accuracy in the later stage of ultra-fast orbit observation an orbit refinement model based on orbit parameter accuracy of attenuation factor Dilution of Precision (DOP) is proposed. First, based on the orbit observation data information criterion is used to construct and optimize the DOP value prediction model; then, the DOP value is used as the independent variable to establish a function model between it and the orbit state parameters then the DOP with high precision prediction The value is substituted into the function model to realize the optimization of the orbit accuracy in the later period of observation. To verify the orbit refinement model, the observation data function and length model were analyzed separately. The results show that the orbit model refinement is optimal based on 1 d of observation data, and there is no clear difference between different function models. The multi-system ultra-fast orbit experiment based on continuous 10 days shows that the refined model in the later stage of ultra-fast orbit observation can improve the orbit accuracy by 12.4% ~ 22.0%. Consequently, this model can perceive the refinement of the ultra-fast observation orbit, which is of great significance to the improvement of the ultra-fast orbit of the analysis center.

Suggested Citation

  • Dib Djamel Eddine & Djebbouri Mohamed & Taleb Ahmed Abddelmalik Chen, 2019. "Ultra-fast observation orbit refinement model established on DOP value for GNSS system," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 5(4), pages 180-190.
    • Handle: RePEc:apb:jaterr:2019:p:180-190
    DOI: 10.20474/jater-5.4.4
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    1. Marek Szajt & Marcin Zawada, 2017. "Usage of the Analogy of Space-Time in Forecasting Changes in Employment in Knowledge-Intensive Services Sector in Poland," International Journal of Technology and Engineering Studies, PROF.IR.DR.Mohid Jailani Mohd Nor, vol. 3(2), pages 59-64.
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