Hostname: page-component-586b7cd67f-gb8f7 Total loading time: 0 Render date: 2024-11-27T22:05:28.421Z Has data issue: false hasContentIssue false

Accuracy Analysis of Ionospheric Prediction Models for Repairing Cycle Slips for BeiDou Triple-Frequency Observations

Published online by Cambridge University Press:  05 July 2019

Yao Yifei
Affiliation:
(College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, China)
Cao Xinyun*
Affiliation:
(Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Ministry of Education, Nanjing, China) (Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, China) (School of Geography Science, Nanjing Normal University, Nanjing, China)
Chang Guobin
Affiliation:
(School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China)
Geng Hongsuo
Affiliation:
(College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, China)
*

Abstract

Both the code–phase combination and the Geometry-Free (GF) phase combination are widely employed to detect and repair cycle slips for BeiDou Navigation Satellite System (BDS) triple-frequency observations. However, the effect of residual ionospheric delay on Narrow-Lane (NL) or GF observations must be considered to avoid incorrect cycle–slip estimation. To improve the accuracy in repairing cycle slips, a corrective ionospheric delay value predicted from the previous ionosphere sequence is used to amend the NL or GF observations at the current epoch. The main purpose of the work reported here is to evaluate the efficacy of a three-step method proposed to detect and repair cycle slip using two extra-wide-lane code–phase and one GF phase combination observations. BDS triple-frequency data were processed in two stages: separate processing of geosynchronous Earth orbit satellites, and the division of inclined geosynchronous satellite orbit and medium Earth orbit satellites into two groups for processing at 30° elevation thresholds. Results revealed that using the prediction models to correct NL or GF observations could ensure a rounding success rate of cycle slip close to 100%, even under high ionospheric activity.

Type
Research Article
Copyright
Copyright © The Royal Institute of Navigation 2019 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Blewitt, G. (1990). An Automatic Editing Algorithm for GPS data. Geophysical Research Letters, 17, 199202.Google Scholar
Cai, C., Liu, Z., Xia, P. and Dai, W. (2012). Cycle slip detection and repair for undifferenced GPS observations under high ionospheric activity. GPS Solutions, 17, 247260.Google Scholar
Chang, G., Xu, T., Yao, Y. and Wang, Q. (2018). Adaptive Kalman filter based on variance component estimation for the prediction of ionospheric delay in aiding the cycle slip repair of GNSS triple-frequency signals. Journal of Geodesy, 92, 12411253.Google Scholar
Cocard, M., Bourgon, S., Kamali, O. and Collins, P. (2008). A systematic investigation of optimal carrier-phase combinations for modernized triple-frequency GPS. Journal of Geodesy, 82, 555564.Google Scholar
Gerdan, G. P. (1995). A comparison of four methods of weighting double difference pseudorange measurements. Australian Surveyor, 40, 6066.Google Scholar
Hatch, R. R. (1982). The synergism of GPS code and carrier measurements. International Geodetic Symposium on Satellite Doppler Positioning, 1213–1231.Google Scholar
Huang, L., Lu, Z., Zhai, G., Ouyang, Y., Huang, M., Lu, X., Wu, T. and Li, K. (2015). A new triple-frequency cycle slip detecting algorithm validated with BDS data. GPS Solutions, 20, 761769.Google Scholar
Li, B. F., Verhagen, S. and Teunissen, P. J. G. (2014). Robustness of GNSS integer ambiguity resolution in the presence of atmospheric biases. GPS Solutions, 18, 283296.Google Scholar
Li, J., Yang, J. and Xu, J. (2011). Real-time cycle-slip detection and repair based on code-phase combinations for GNSS triple-frequency undifferenced observations. Acta Geodaetica et Cartographica Sinica, 40, 717722.Google Scholar
Li, Z., Gao, J. and Wang, J. (2016). Inertial Aided Cycle Slip Detection and Repair for PPP/INS Tightly Coupled Navigation. The Journal of Navigation, 69, 13571378.Google Scholar
Liu, Z. (2010). A new automated cycle slip detection and repair method for a single dual-frequency GPS receiver. Journal of Geodesy, 85, 171183.Google Scholar
Melbourne, W. (1985). The case for ranging in GPS-based geodetic systems. Proceedings of the First International Symposium on precise positioning with GPS. 373–386.Google Scholar
Richert, T. and El-Sheimy, N. (2007). Optimal linear combinations of triple frequency carrier phase data from future global navigation satellite systems. GPS Solutions, 11, 1119.Google Scholar
Teunissen, P. J. G. (1995). The least-squares ambiguity decorrelation adjustment: A method for fast GPS integer ambiguity estimation. Journal of Geodesy, 70, 6582.Google Scholar
Teunissen, P. J. G. (2002). The parameter distributions of the integer GPS model. Journal of Geodesy, 76, 4148.Google Scholar
Teunissen, P. J. G. and de Bakker, P. F. (2013). Single-receiver single-channel multi-frequency GNSS integrity: outliers, slips, and ionospheric disturbances. Journal of Geodesy, 87, 161177.Google Scholar
Urquhart, L. (2009). An analysis of multi-frequency carrier phase linear combinations for GNSS. Senior technical report, Department of Geodesy and Geomatics Engineering Technical Report No. 263, University of New Brunswick, Fredericton, New Brunswick, Canada. http://www2.unb.ca/gge/Pubs/TR263.pdfGoogle Scholar
Wübbena, G. (1985). Software developments for geodetic positioning with GPS using TI-4100 code and carrier measurements. Proceedings of the First International Symposium on precise positioning with the Global Positioning System. US Department of Commerce, 403–412.Google Scholar
Yao, Y. F., Gao, J. X., Wang, J., Hu, H. and Li, Z. K. (2016). Real-time cycle-slip detection and repair for BeiDou triple-frequency undifferenced observations. Survey Review, 48, 367375.Google Scholar
Zhang, X. and Li, P. (2015). Benefits of the third frequency signal on cycle slip correction. GPS Solutions, 20, 451460.Google Scholar
Zhao, Q., Sun, B., Dai, Z., Hu, Z., Shi, C. and Liu, J. (2014). Real-time detection and repair of cycle slips in triple-frequency GNSS measurements. GPS Solutions, 19, 381391.Google Scholar