Skip to main content
Log in

Quasioptimal estimation of GNSS signal parameters in coherent reception mode using sigma-point Kalman filter

  • Published:
Gyroscopy and Navigation Aims and scope Submit manuscript

Abstract

The paper presents a multiloop system for tracking the radionavigation parameters of navigation satellite signals in the user equipment. Comparative analysis of accuracies of traditional tracking system with discriminators and filter in the tracking loop and the proposed system without discriminators is conducted. RMS errors of estimates and the probability of signal acquisition are studied under various SNR values. The proposed scheme is shown to outperform the traditional tracking system with discriminators.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. GLONASS. Printsipy postroeniya i funktsionirovaniya (GLONASS. Design and Functioning Principles), Perov, A.I., Kharisov, V.N., Bakit’ko, R.V., and Boldenkov, E.N., Eds, Moscow: Radiotekhnika, 2010.

  2. Kaplan, E. and Heagrty, C., Understanding GPS: Principles and Applications, 2006, 2nd edition.

    Google Scholar 

  3. Mikhailov, N.V., Avtonomnaya navigatsiya kosmicheskikh apparatov pri pomoshchi sputnikovykh radionavigatsionnyk sistem (Spacecraft Autonomous Navigation Using Satellite Radionavigation Systems), St. Petersburg: Politekhnika, 2014.

    Google Scholar 

  4. Petovello, M.G., O’Driscoll, C., and Lachapelle, G., Carrier Phase Tracking of Weak Signals Using Different Receiver Architectures, Department of Geomatics Engineering, Alberta: The University of Calgary, Canada, 2008.

    Google Scholar 

  5. Tikhonov, V.I. and Kharisov, V.N., Statisticheskii analiz i sintez radiotekhnicheskikh ustroistv i sistem (Statistical Analysis and Synthesis of Radiotechnical Devices and Systems), Moscow: Radio i Svyaz’, 1991.

    Google Scholar 

  6. Candy, J.V., Bayesian Signal Processing. Classical, Modern, and Particle Filtering Methods, JohnWiley & Sons, Inc., 2009.

    Google Scholar 

  7. Julier, S.J., Uhlman, J.K., A New extension of the kalman filter to nonlinear systems, Proc. of AeroSence, The 11th Intern. Symp. On Aerospace/Defence Sensing, Simulation and Controls, Orlando FL, USA, 1997.

    Google Scholar 

  8. Merwe, R., Sigma-Point Kalman Filters for Probabilistic Inference in Dynamic State-Space Models, PhD Thesis, 2004.

    Google Scholar 

  9. Sarkka, S., Bayesian Filtering and Smoothing, Cambridge University Press, 2013.

    Book  MATH  Google Scholar 

  10. Psiaki, M.L. and Jung, H., Extended Kalman filter methods for tracking weak GPS signals, ION GPS, USA, 2002, pp. 2539–2553.

    Google Scholar 

  11. Efimenko, V.S. and Voronchikhin, D.V., Comparison of radiosignal nonlinear filtering algorithms in GNSS receivers, Radiotekhnika, 2013, no. 7, pp. 126–131.

    Google Scholar 

  12. Wang, W., Chen, X., Shuai, H., Meng, W., and Zhang, Y., Unscented Kalman filter with open-loop compensation for high dynamic GNSS carrier tracking, Proc. of SPIE, 2010, vol. 7651.

  13. Zhu, X., Shen, F., Chen, J., Yang, Y., Yang, D., and Chen, X., Combined tracking strategy based on unscented Kalman filter for global positioning system L2C CM/CL signal, Defense Science Journal, 2015, vol. 65, no. 5, pp. 395–402.

    Article  Google Scholar 

  14. Im, S., Song, J., Jee, G., and Park, C., Comparison of GPS tracking loop performance in high dynamic condition with nonlinear filtering techniques, ION GNSS 21st International Technical Meeting of Satellite Division, 2008, pp. 2351–2360.

    Google Scholar 

  15. Kravets, A.P., Tislenko, V.I., Shavrin, V.V., Filimonov, V.A., and Lebedev, V.Yu., GLONASS signal search and detection in onboard space navigation system, Doklady TUSUR, 2015, vol. 38, no. 4, pp. 35–42.

    Google Scholar 

  16. Shavrin, V.V., Tislenko, V.I., Filimonov, V.A., Kravets, A.P., and Konakov, A.S., Analyzing a joint adaptive algorithm in coherent mode for filtering radionavigation parameters of GNSS signals in an autonomous space navigation system, 23rd St. Petersburg International Conference on Integrated Navigation Systems, St. Petersburg, 2016, pp. 527–531.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to V. I. Tislenko.

Additional information

Original Russian Text © V.V. Shavrin, V.I. Tislenko, V.Yu. Lebedev, A.S. Konakov, V.A. Filimonov, A.P. Kravets, 2016, published in Giroskopiya i Navigatsiya, 2016, No. 3, pp. 26–37.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shavrin, V.V., Tislenko, V.I., Lebedev, V.Y. et al. Quasioptimal estimation of GNSS signal parameters in coherent reception mode using sigma-point Kalman filter. Gyroscopy Navig. 8, 24–30 (2017). https://doi.org/10.1134/S2075108717010060

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S2075108717010060

Navigation