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Improvement of GPS ambiguity resolution using prior height information. Part II: The method of using quasi observation

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Abstract

This paper deals with the method of using quasi observation. In the paper a simple algorithm is developed for the adjustment computation with quasi observation at first. And then the ability of quasi observation to improve ambiguity search technique is studied in detail. The robustness of the method is also discussed. A method to determine the weight of quasi observation is proposed. The results show that a prior height can be taken as a quasi observation and used together with GPS observations. It can strengthen residual tests, especially in situation where there are fewer satellites in the sky. It also can change structure of incorrect solutions, which will theoretically make less incorrect solutions left in search space. At last the field tests are carried out to show that the proposed method is effective. The success rate of ambiguity resolution in the four field tests is improved significantly.

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References

  1. Zhu J J, Santerre R. Improvement of GPS ambiguity resolution using prior height information. Part I: The method by using height validation[J]. Journal of Central South University of Technology, 2002, 9(3): 186–190.

    Article  Google Scholar 

  2. Weisenburger S, Cannon M E. Performance improvements using constraints in marine OTF ambiguity resolution [A]. Proceedings of the ION National Technical Meeting[C], Santa Monica, 1997: 585–605.

  3. Baarda W. A testing procedure for use in geodetic networks[J]. Netherlands Geod Comm, 1968, 2(5): 20–25.

    Google Scholar 

  4. Zhu J J, Wang X B. The generalized admissibility of Bayes estimate[J]. Transactions of Nonferrous Metals Society of China, 2000, 10(1): 114–118.

    Google Scholar 

  5. Zhu J J. Robust estimate with minimum mean squared error[J]. The Australian Surveyor, 1991, 36(2): 111–115.

    Article  MathSciNet  Google Scholar 

  6. Wang Sugui. The theory of linear model and its application[M]. Anfei: Anfei Education Publishing House, 1987.

    Google Scholar 

  7. Montgomery D C, Peck E A. Introduction to linear regression analysis[M]. New York: John Wiley & Sons Inc, 1992.

    MATH  Google Scholar 

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Foundation item: Canadian GEOIDE Project ENV14 #; SRF for ROCS, SEM; The Doctoral Foundation of Ministry of Education, China(No. 200053315)

Biography of the first author: ZHU Jian-jun, Dr., professor, born in May 1962, majoring in geodesy and surveying engineering.

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Zhu, Jj., Rock, S. Improvement of GPS ambiguity resolution using prior height information. Part II: The method of using quasi observation. J Cent. South Univ. Technol. 9, 260–266 (2002). https://doi.org/10.1007/s11771-002-0039-6

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  • DOI: https://doi.org/10.1007/s11771-002-0039-6

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