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Inertial Aided Cycle Slip Detection and Repair for PPP/INS Tightly Coupled Navigation

Published online by Cambridge University Press:  09 February 2016

Zengke Li ,
Jingxiang Gao  and
Jian Wang
Zengke Li*
Affiliation:
(School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou, China)
Jingxiang Gao
Affiliation:
(School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou, China)
Jian Wang
Affiliation:
(School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou, China)
*
(E-mail: zengkeli@cumt.edu.cn)
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Abstract

The integration of Precise Point Positioning (PPP) with Inertial Navigation Systems (INS) has been very intensively developed and widely applied in multiple areas. The integrated navigation system is able to provide high accuracy position and attitude with a single receiver. However, the cycle slip caused by high dynamics, signal lock and low satellite elevation will decrease accuracy and degrade the system performance. In this paper, an inertial aided cycle slip detection and repair method is applied in PPP/INS tightly coupled navigation to obtain higher accuracy navigation information. The inertial information is introduced to the wide-lane combination observation to avoid the noise and multipath from pseudorange. Detail error analysis is given to determine the critical value of INS position accuracy which makes inertial aided wide-lane combination have better performance and a new decision variable is constructed. The inertial aided cycle slip detection and repair scheme that replaces the ambiguity re-initialisation is applied in PPP. An experiment was performed to validate the new algorithm. The results indicate that the inertial aided decision variable has higher accuracy than the traditional Melbourne-Wübbena decision variable. The inertial aided scheme can efficiently detect and repair the small cycle slip (from 1 to 6) and large cycle slip (from 10 to 20). The inertial-aided cycle slip detection method introduced in PPP resolution will remove the error by ambiguity re-initialisation.

Keywords

PPPINSCycle slipWide-lane combination
Type
Research Article
Information
The Journal of Navigation , Volume 69 , Issue 6 , November 2016 , pp. 1357 - 1378
Copyright
Copyright © The Royal Institute of Navigation 2016 

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References

REFERENCES

Abdel-Salam, M. A. (2005). Precise point positioning using un-differenced code and carrier phase observations. Ph.D. thesis. The University of Calgary, Calgary.Google Scholar
Altmayer, C. (2000). Enhancing the integrity of integrated GPS/INS systems by cycle slip detection and correction. Proceedings of IEEE Intelligent Vehicles Symposium 2000, Dearborn MI.CrossRefGoogle Scholar
Banville, S. and Langley, R. B. (2009). Improving real-time kinematic PPP with instantaneous cycle-slip correction. Proceedings of 22nd International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS 2009), Savannah, GA.Google Scholar
Banville, S. and Langley, R. B. (2013). Mitigating the impact of ionospheric cycle slips in GNSS observations. Journal of Geodesy, 87, 179–193.Google Scholar
Bisnath, S. and Gao, Y. (2009). Current state of precise point positioning and future prospects and limitations. Springer.Google Scholar
Blewitt, G. (1990). An Automatic Editing Algorithm for GPS data. Geophysical Research Letters, 17, 199–202.Google Scholar
Cai, C., Liu, Z., Xia, P. and Dai, W. (2013). Cycle slip detection and repair for undifferenced GPS observations under high ionospheric activity. GPS Solutions, 17, 247–260.Google Scholar
Chu, H. J., Tsai, G. J., Chiang, K. W. and Duong, T. T. (2013). GPS/MEMS INS data fusion and map matching in urban areas. Sensors, 13, 11280–11288.CrossRefGoogle ScholarPubMed
Colombo, O. L., Bhapkar, U. V. and Evans, A. G. (1999). Inertial-aided cycle-slip detection/correction for precise, long-baseline kinematic GPS. Proceedings of 12th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 1999), Nashville, TN.Google Scholar
de Lacy, M. C., Reguzzoni, M., Sansò, F. and Venuti, G. (2008). The Bayesian detection of discontinuities in a polynomial regression and its application to the cycle-slip problem. Journal of Geodesy, 82, 527–542.Google Scholar
de Lacy, M. C., Reguzzoni, M. and Sansò, F. (2012). Real-time cycle slip detection in triple-frequency GNSS. GPS Solutions, 16, 353–362.CrossRefGoogle Scholar
Du, S. (2010). Integration of precise point positioning and low cost MEMS IMU. Ph.D. thesis. The University of Calgary, Calgary.Google Scholar
Du, S. and Gao, Y. (2012). Inertial aided cycle slip detection and identification for integrated PPP GPS and INS. Sensors, 12, 14344–14362.Google Scholar
Feng, Y. (2008). GNSS three carrier ambiguity resolution using ionosphere-reduced virtual signals. Journal of Geodesy, 82, 847–862.Google Scholar
Han, S. and Wang, J. (2012). Integrated GPS/INS navigation system with dual-rate Kalman Filter. GPS Solutions, 16, 389–404.Google Scholar
Kouba, J. and Héroux, P. (2001). Precise point positioning using IGS orbit and clock products. GPS Solutions, 5, 12–28.Google Scholar
Lee, H., Wang, J. and Rizos, C. (2003). Effective cycle slip detection and identification for high precision GPS/INS integrated systems. The Journal of Navigation, 56, 475–486.CrossRefGoogle Scholar
Li, Z., Wang, J., Li, B., Gao, J. and Tan, X. (2014). GPS/INS/Odometer integrated system using fuzzy neural network for land vehicle navigation applications. The Journal of Navigation, 67, 967–983.Google Scholar
Lipp, A. and Gu, X. (1994). Cycle-slip detection and repair in integrated navigation systems. Proceedings of IEEE Position Location and Navigation Symposium, Las Vegas.Google Scholar
Liu, Z. (2011). A new automated cycle slip detection and repair method for a single dual-frequency GPS receiver. Journal of Geodesy, 85, 171–183.CrossRefGoogle Scholar
Miao, Y., Sun, Z. and Wu, S. (2010). Error analysis and cycle-slip detection research on satellite-borne GPS observation. Journal of Aerospace Engineering, 24, 95–101.Google Scholar
Momoh, J. and Ziebart, M. (2012). Instantaneous cycle slip detection, code multipath mitigation and improved ionospheric correction for enhanced GPS single-frequency positioning. Proceedings of 25th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS 2012), Nashville TN.Google Scholar
Nassar, S. (2003). Improving the Inertial Navigation System (INS) Error Model for INS and INS/DGPS Applications. Ph.D. thesis. The University of Calgary, Calgary.Google Scholar
Strang, G. and Borre, K. (1997). Linear algebra, geodesy, and GPS. Wellesley-Cambridge Press.Google Scholar
Titterton, D.H. and Weston, J.L. (2004). Strapdown inertial navigation technology. MIT Lincoln Laboratory.Google Scholar
Younsil, K., Junesol, S., Ho, Y., Byungwoon, P. and Changdon, K. (2013). GPS Cycle-slip Detection with Low-cost IMU and Single-frequency Receiver of Land Vehicle. Proceedings of Institute of Navigation Pacific PNT 2013, Honolulu,Hawaii.Google Scholar
Zhang, J. (2007). Precise velocity and acceleration determination using a standalone GPS receiver in real time. Ph.D. thesis. RMIT University, Melbourne.Google Scholar
Zhang, X. and Li, X. (2012). Instantaneous re-initialization in real-time kinematic PPP with cycle slip fixing. GPS Solutions, 16, 315–327.Google Scholar
Zhang, Y. and Gao, Y. (2008). Integration of INS and un-differenced GPS measurements for precise position and attitude determination. Journal of Navigation, 61, 87–97.Google Scholar