Volume 30 Issue 4
Jul.  2021
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BAO Junjie, LI Rui, SHAO Bo, et al., “Distribution of Reference Stations: Initial Explore on the Optimal Selection Strategy,” Chinese Journal of Electronics, vol. 30, no. 4, pp. 752-758, 2021, doi: 10.1049/cje.2021.05.018
Citation: BAO Junjie, LI Rui, SHAO Bo, et al., “Distribution of Reference Stations: Initial Explore on the Optimal Selection Strategy,” Chinese Journal of Electronics, vol. 30, no. 4, pp. 752-758, 2021, doi: 10.1049/cje.2021.05.018

Distribution of Reference Stations: Initial Explore on the Optimal Selection Strategy

doi: 10.1049/cje.2021.05.018
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This work is supported by the National National Key Research and Development Program of China (No.2020YFB05056027).

  • Received Date: 2019-03-11
    Available Online: 2021-07-19
  • Publish Date: 2021-07-05
  • The Satellite-based augmentation system (SBAS) is intended to provide real-time differential global navigation satellite system corrections with the high accuracy, availability, and integrity required for aviation applications. Since the performance of Satellite clock and ephemeris (SCE) corrections and Ionospheric range delay (IRD) corrections can vary dramatically depending on satellites and Ground reference stations (GRSs) geometry, therefore, we present a GRSs distribution optimized criteria and process to improve SBAS corrections performance. The present step-by-step optimized scheme using the average satellite surveillance dilution of precision and relative centroid metric availability of grid points as fitness values to determine the appropriate GRSs distribution to sufficiently meet the corrections requirements. The results show that the statistical mean RCM availability can reach more than 0.5518 for all IGPs and the coverage depth of GRSs in China and its surrounding areas is more than 25, which fully satisfies the requirement for solving SCE and IRD corrections.

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  • R. Sabatini, T. Moore and S. Ramasamy, "Global navigation satellite systems performance analysis and augmentation strategies in aviation", Progress in Aerospace Sciences, Vol.95, pp.45-98, 2017.
    China Satellite Navigation Office, "Development of the beidou navigation satellite system", http://www.beidou.gov.cn/, 2019.
    J.J. Bao, R. Li, Y.T. Liu, et al., "Ionospheric anomaly detection to support the BDSBAS", IEEE Access, Vol.8, pp.1691-1704, 2020.
    C. Liu, J. Shen and R. Li, "The development plan of the beidou satellite-based augmentation system (BDSBAS)", Navigation Systems Panel Meeting, Montreal, Canada, pp.1-5, 2016.
    Z. Nie, P. Zhou, F. Liu, et al., "Evaluation of orbit, clock and ionospheric corrections from five currently available SBAS L1 services:Methodology and analysis", Remote Sensing, Vol.11, No.4, pp.1-21, 2019.
    S. Choy, J. Kuckartz, G.A.Dempster, et al., "GNSS satellite-based augmentation systems for Australia", GPS Solutions, Vol.21, No.3, pp.1-14, 2017.
    B. Shao, D. Qun and X.B. Wu, "Estimation Method of SBAS Dual-Frequency Range Error Integrity Parameter", Satellite Navigation, Vol.1, No.1, 11. Doi: 10.1186/s43020-020-00011-1.
    E. Sardon, A.J. Fuente, N. Zarraoa, et al., "UDRE computation:A key issue for space based augmentation system performance", Proceedings of International Technical Meeting of the Satellite Division of the Institute of Navigation, Stanford University, USA, pp.2091-2100, 1998.
    D.L. Wang, R.C. Zhai, R.W. Jin, et al., "Enhanced GPS measurements simulation for space-oriented navigation system design", Chinese Journal of Aeronautics, Vol.23, No.4, pp.438-446, 2010.
    B. Shao, J.S. Liu, Z.G. Huang, et al., "A user differential range error calculating algorithm based on analytic method", Chinese Journal of Aeronautics, Vol.24, No.6, pp.762-767, 2011.
    B. Shao, J.S. Liu, Z.G. Huang, et al., "UDRE estimation approach based on satellite surveillance dilution of precision", Journal of Beijing University of Aeronautics & Astronautics, Vol.36, No.8, pp.900-903, 2010.
    B. Shao, J.S. Liu, Z.G. Huang, et al., "A particle swarm optimization based algorithm for the calculation of user differential eange error", Chinese Journal of Electronics, Vol.21, No.1, pp.64-68, 2012.
    L. Sparks, J. Blanch and N. Pandya, "Estimating ionospheric delay using kriging:1. Methodology", Radio Science, Vol.46, No.6, pp.46-59, 2011.
    J.J. Bao, R. Li, Z.G. Huang, "Applicability analysis of Kriging methodology for China', China Satellite Navigation Conference (CSNC) 2020 Proceedings, Chengdu, China, pp.1-12, 2020.
    R. Zhang, "Theory and method on multimode GNSS real-time refinement ionospheric modeling and its application", Ph.D. Thesis. Wuhan University, China, 2013(in Chinese).
    Q.D. Zhang, R. Li and Z.P. Wang, "An improved ionospheric spatial threat model for SBAS ", Chinese Journal of Electronics, Vol.26, No.5, pp.1105-1110, 2017.
    T. Sakai, "Improving availability of ionospheric corrections in the low magnetic latitude region", available at The 2005 National Technical Meeting of The Institute of Navigation, San Diego, CA, USA, pp.569-579, 2005.
    D. Wang, D. Tan and L. Liu, "Particle swarm optimization algorithm:an overview", Soft Computing, Vol.22, No.2, pp.387-408, 2018.
    H. Chen, L. Wang, P. Shen, et al., "Static schedule generation for time-triggered ethernet based on fuzzy particle swarm optimization", Chinese Journal of Electronics, Vol.28, No.6, pp.1250-1258, 2019.
    Y. Gong, J. Li, Y. Zhou, et al., "Genetic learning particle swarm optimization", IEEE Transactions on Cybernetics, Vol.46, No.10, pp.2277-2290, 2017.
    M. Taherkhani, R. Safabakhsh, "A novel stability-based adaptive inertia weight for particle swarm optimization", Applied Soft Computing, Vol.38, pp.281-295, 2016.
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