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Smoother and Bayesian filter based semi-codeless tracking of dual-frequency GPS signals

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Abstract

To precisely determine the integrated orbit of the Chinese manned spacecraft mission, a smoother and Bayesian filter based technique for optimum semi-codeless tracking of the P(Y) code on dual-frequency GPS signals has been advanced. This signal processing technique has been proven effective and robust for affording access to dual-frequency GPS signals. This paper introduces the signal dynamics and measurement models, describes the W·D bit estimation method, and corrects the mistakes of direct estimation of W bit in current semi-codeless tracking. Median filter is chosen as a smoother to find the best measurements at the current time among the history and current information. The Bayesian filter is used to track the L2 P(Y) code phase and L2 carrier phase recursively.

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References

  1. Lu C M, Gu Y D, Lin B J, et al. Integrated precise orbit determination of Senzhou IV unmanned spacecraft, Sci China Ser E-Tech Sci, 2004, 47(5): 518–525

    Article  Google Scholar 

  2. Woo K T. Optimum semicodeless carrier-phase tracking of L2, Navigation, 2000, 47(2): 82–99

    Google Scholar 

  3. Hee J, Mark L P, Steven P P. Kalman-filter-based semi-codeless tracking of weak dual-frequency GPS signals, Proceedings of the ION GPS/GNSS 2003, Sept. 9–12, 2003, Portland, OR

  4. Robert L, Sergei G. The Z-12 Performance Advantage, Ashtech Inc.

  5. Pena D, Guttman I. Bayesian approach robustifying the Kalman filter, Bayesian Analysis Time Series Dynamic Model by Marcel Dekker, INC, 1988, 227–253

  6. Psiaki M L. Smoother-based GPS signal tracking in software receiver. Proceedings of the ION GPS/GNSS 2001, Sept. 11–14, Salt Lake City, UT, 2001, 2900–2913

  7. Brown R G, Hwang P Y C. Introduction to random signals and applied Kalman filtering. 3rd ed. New York: J Wiley & Sons, 1997. 428–432

    Google Scholar 

  8. Lorenz R G, Helkey R J, Abadi K K. Global positioning system receiver digital processing technique. US Patent No. 5, 134, 407, July 1992

  9. Woo R K T, Quan J O, Cheng U. System and method for demodulating global positioning system signals. US Patene No. 6, 125, 135, Sept. 2000

  10. Psiaki M L, Powell S P, Jung H, et al. Design and practical implementation of multi-frequency RF front ends using direct RF sampling. Proceedings of the ION GPS/GNSS 2003, Sept. 9–12, 2003, Portland, OR

  11. Gabbouj M, Coyle E J, Neal J, et al. An overview of median and stack filtering, Circuits System Signal Processing, 1992, (11): 7–45

  12. Alspach D L, Sorensoil H W. Nonlinear Bayesian estimation using Gaussian sum approximation, IEEE Trans Auto Control, 1972, 17: 439–447

    Article  MATH  Google Scholar 

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Authors and Affiliations

  1. Academy of Opto-Electronics, Chinese Academy of Sciences, Beijing, 100080, China

    Liao Bingyu, Yuan Hong & Lin Baojun

Authors
  1. Liao Bingyu
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  2. Yuan Hong
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  3. Lin Baojun
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Correspondence to Liao Bingyu.

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Liao, B., Yuan, H. & Lin, B. Smoother and Bayesian filter based semi-codeless tracking of dual-frequency GPS signals. SCI CHINA SER F 49, 533–544 (2006). https://doi.org/10.1007/s11432-006-2003-9

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  • DOI: https://doi.org/10.1007/s11432-006-2003-9

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