Username   Password       Forgot your password?  Forgot your username? 


Analysis of Stochastic Model in GEO/IGSO/MEO based on Triple-Frequency Observations

Volume 14, Number 7, July 2018, pp. 1542-1549
DOI: 10.23940/ijpe.18.07.p18.15421549

Xinjian Fanga,b, Xuexiang Yub, and Chao Yanb

aSchool of Earth and Environment, Anhui University of Science and Technology, Huainan, 232001, China
bSchool of Geomatics, Anhui University of Science and Technology, Huainan, 232001, China

(Submitted on April 8, 2018; Revised on May 20, 2018; Accepted on June 11, 2018)


Focusing on the complex constellation of the BeiDou satellite navigation positioning system in China, this article analyzes the relationship between zero baseline and ultrashort baseline according to the residual value of carrier observation, signal to noise ratios, and elevation angles of different constellation satellites. A stochastic model based on the distance between the satellite and Earth, signal-to-noise ratio and elevation angle was proposed, which applied to the baseline solution of the Beidou triple-frequency single epoch. Analysis of measured data shows that compared with the traditional sinusoidal trigonometric function model, although the proposed model has no obvious effect on improving the positioning accuracy, the success rate of the ambiguity resolution of 4.2m, 4.17km and 8.84km are effectively improved by 0.1%, 4.7% and 1.1%, which enhanced the stability of calculation results.


References: 12

          1. C. Cai, Y. Gao, “Modeling and assessment of combined GPS/GLONASS precise point positioning,” GPS solutions, vol. 17, no. 2, pp. 223-236, 2013.
          2. C. L. Deng, W. M. Tang, “Reliable Sing-epoch ambiguity resolution for short baselines using GPS/BeiDou system,” GPS Solutions, vol. 3, no. 18, pp. 375-386, 2014.
          3. T. Li, J. Wang, and D. Laurichesse, “Modeling and quality control for reliable precise point positioning integer ambiguity resolution with GNSS modernization,” GPS solutions, vol. 18, no. 3, pp. 429-442, 2014.
          4. Q. K. Liu, L. F. Sui, and G. R. Xiao, “A method of determining the weight matrix for BDS DCB resolution,” Journal of Geomatics Science and Technology, vol. 32, no. 5, pp. 473-478, 2015.
          5. J. N. Liu,C. L. Deng, and W. M. Tang, “Review of GNSS ambiguity validation theory,” Geomatics and Information Science of Wuhan University, vol. 39, no. 9, pp. 1009-1015, 2014.
          6. P. Li, X. Zhang, “Integrating GPS and GLONASS to accelerate convergence and initialization times of precise point positioning,” GPS solutions, vol. 18, no. 3, pp. 461-471, 2014.
          7. C. Shi, Q. Zhao, and Z. Hu, “Precise relative positioning using real tracking data from COMPASS GEO and IGSO satellites,” GPS solutions, vol. 17, no. 1, pp. 103-119, 2013.
          8. W. M. Tang,C. L. Deng, and C. Shi, “Triple-frequency carrier ambiguity resolution for Beidou navigation satellite system,” GPS solutions, vol. 18, no. 3, pp. 335-344, 2014.
          9. G. R. Xiao, L. F. Sui, and C. J. Liu, “A method of determining the weight matrix for BeiDou navigation satellite system single point positioning,” Acta Geodaetica et Cartographica Sinica, vol. 43, no. 9, pp. 902-907, 2014.
          10. Y. Yang, Y. Xu, J. Li, and C. Yang, “Progress and performance evaluation of Bei Dou global navigation satellite system: Data analysis based on BDS-3demonstration system,” Science China Earth Sciences, vol. 61, no. 5, pp. 614–624, 2018.
          11. C. Yan, X. X. Yu, and W. Xu, “Comparison of the stochastic model for single-epoch baseline resolution of IGSO/GEO/MEO triple-frequency,” Metal Min, vol. 2017, no. 10, pp. 52-58, 2017.
          12. X. H. Zhang, L. L. Ding, “Quality analysis of the second generation Compass observables and stochastic model refining,” Geomatics and Information Science of Wuhan University, vol. 38, no. 7, pp. 832-836, 2013.


                  Please note : You will need Adobe Acrobat viewer to view the full articles.Get Free Adobe Reader

                  This site uses encryption for transmitting your passwords.