Table of Contents Author Guidelines Submit a Manuscript
Journal of Applied Mathematics
Volume 2014, Article ID 107156, 10 pages
http://dx.doi.org/10.1155/2014/107156
Research Article

Urban and Indoor Weak Signal Tracking Using an Array Tracker with MVA and Nonlinear Filtering

1College of Automation, Harbin Engineering University, Harbin 150001, China
2The Unit 92941, PLA, Huludao 125000, China

Received 4 May 2014; Accepted 17 June 2014; Published 2 July 2014

Academic Editor: Yuxin Zhao

Copyright © 2014 Jicheng Ding et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. L. Wang, D. P. Groves, and M. K. Ziebart, “GNSS shadow matching: improving urban positioning accuracy using a 3D city model with optimized visibility prediction scoring,” in Proceedings of the 25th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS '12), pp. 423–437, Nashville, Tenn, USA, 2012.
  2. S. Singh, “Comparison of assisted GPS (AGPS) performance using simulator and field tests,” in Proceedings of the ION GNSS Conference, pp. 1–12, Fort Worth, Tex, USA, 2006.
  3. S. Schön and O. Bielenberg, “On the capability of high sensitivity GPS for precise indoor positioning,” in Proceedings of the 5th Workshop on Positioning, Navigation and Communication (WPNC '08), pp. 121–127, March 2008. View at Publisher · View at Google Scholar · View at Scopus
  4. B. Y. T. James, Fundamentals of Global Positioning System Receivers: A Software Approach, John Wiley & Sons, New York, NY, USA, 2nd edition, 2004.
  5. B. Parkinson and J. Spilker, Global Positioning System: Theory and Applications, vol. 1, American Institute of Aeronautics and Astronautics, 1996.
  6. M. Kokkonen and S. Pietilä, “A new bit synchronization method for a GPS receiver,” in Proceedings of the IEEE Position Location and Navigation Symposium, pp. 85–90, April 2002. View at Publisher · View at Google Scholar · View at Scopus
  7. N. I. Ziedan and J. L. Garrison, Bit Synchronization and Doppler Frequency Removal at Very Law Carrier to Noise Ratio Using a Combination of the Viterbi Algorithm with an Extended Kalman Filter, ION GPS/GNSS, Portland, Ore, USA, 2003.
  8. S. Jeon, C. Kim, G. Kim et al., “Optimal signal tracking algorithm for GNSS signal using moving set-point LQG system,” International Journal of Control, Automation and Systems, vol. 11, no. 6, pp. 1214–1222, 2013. View at Google Scholar
  9. M. Anghiler, T. Pany, J. Won et al., “An algorithm for bit synchronization and signal tracking in software GNSS receivers,” in Proceedings of the ION GNSS 19th International Technical Meeting of the Satellite Division, pp. 1836–1848, 2006.
  10. O. Macchi and L. L. Scharf, “Dynamic programming algorithm for phase estimation and data decoding on random phase channels,” IEEE Transactions on Information Theory, vol. 27, no. 5, pp. 581–595, 1981. View at Google Scholar · View at Scopus
  11. G. J. Gao, INS-assisted high sensitivity GPS receivers for degraded signal navigation [Ph.D. thesis], Department of Geomatics Engineering, University of Calgary, Calgary, Canada, 2007.
  12. M. L. Psiaki and H. Jung, “Extended Kalman filter methods for tracking weak GPS signal,” in Proceedings of the ION GPS 15th International Technical Meeting of the Satellite Division of The Institute of Navigation, pp. 2539–2553, Portland, Ore, USA, 2002.
  13. N. I. Ziedan and J. L. Garrison, “Extended Kalman filter-based tracking of weak GPS signals under high dynamic conditions,” in Proceedings of the 17th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS '04), pp. 20–31, Long Beach, Calif, USA, September 2004. View at Scopus
  14. A. Razavi, D. Gebre-Egziabher, and D. M. Akos, “Carrier loop architectures for tracking weak GPS signals,” IEEE Transactions on Aerospace and Electronic Systems, vol. 44, no. 2, pp. 697–710, 2008. View at Publisher · View at Google Scholar · View at Scopus
  15. J. H. Won, T. Pany, and B. Eissfeller, “Characteristics of kalman filters for GNSS signal tracking loop,” IEEE Transactions on Aerospace and Electronic Systems, vol. 48, no. 4, pp. 3671–3681, 2012. View at Publisher · View at Google Scholar · View at Scopus
  16. S. Julier, J. Uhlmann, and H. F. Durrant-Whyte, “A new method for the nonlinear transformation of means and covariances in filters and estimators,” IEEE Transactions on Automatic Control, vol. 45, no. 3, pp. 477–482, 2000. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  17. M. Nørgaard, N. K. Poulsen, and O. Ravn, “New developments in state estimation for nonlinear systems,” Automatica, vol. 36, no. 11, pp. 1627–1638, 2000. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  18. R. van der Merwe and E. A. Wan, “The square-root unscented Kalman filter for state and parameter-estimation,” in Proceedings of the IEEE Interntional Conference on Acoustics, Speech, and Signal Processing, pp. 3461–3464, May 2001. View at Scopus