Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2014, Article ID 609154, 12 pages
http://dx.doi.org/10.1155/2014/609154
Research Article

Reinforced Ultra-Tightly Coupled GPS/INS System for Challenging Environment

School of Instrument Science and Optoelectronics Engineering, Beihang University, Beijing 100191, China

Received 30 June 2014; Revised 24 September 2014; Accepted 24 September 2014; Published 16 October 2014

Academic Editor: Jian Guo Zhou

Copyright © 2014 Xueyun Wang 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. A. Noureldin, A. El-Shafie, and N. El-Sheimy, “Adaptive neuro-fuzzy module for inertial navigation system/global positioning system integration utilising position and velocity updates with real-time cross-validation,” IET Radar, Sonar and Navigation, vol. 1, no. 5, pp. 388–396, 2007. View at Publisher · View at Google Scholar · View at Scopus
  2. S.-B. Kim, J.-C. Bazin, H.-K. Lee, K.-H. Choi, and S.-Y. Park, “Ground vehicle navigation in harsh urban conditions by integrating inertial navigation system, global positioning system, odometer and vision data,” IET Radar, Sonar and Navigation, vol. 5, no. 8, pp. 814–823, 2011. View at Publisher · View at Google Scholar · View at Scopus
  3. Y. Yang, D.-J. Feng, W.-M. Zhang, X.-S. Wang, and S.-P. Xiao, “Detection of chaff centroid jamming aided by GPS/INS,” IET Radar, Sonar and Navigation, vol. 7, no. 2, pp. 130–142, 2013. View at Publisher · View at Google Scholar · View at Scopus
  4. M. Lashley, D. M. Bevly, and J. Y. Hung, “Analysis of deeply integrated and tightly coupled architectures,” in Proceedings of the IEEE/ION Position, Location and Navigation Symposium (PLANS '10), pp. 382–396, Indian Wells, Calif, USA, May 2010. View at Publisher · View at Google Scholar · View at Scopus
  5. G. Gao and G. Lachapelle, “A novel architecture for ultra-tight HSGPS-INS integration,” Journal of Global Positioning Systems, vol. 7, pp. 46–61, 2008. View at Google Scholar
  6. G. Egziabher, “GNSS Solutions: weighting GNSS observations and variations of GNSS/INS integration,” in Global Navigation Satellite Systems (GNSS '07), pp. 28–33, Springer, 2007. View at Google Scholar
  7. P. D. Groves and D. C. Long, “Combating GNSS interference with advanced inertial integration,” Journal of Navigation, vol. 58, no. 3, pp. 419–432, 2005. View at Publisher · View at Google Scholar · View at Scopus
  8. X.-L. Wang and Y.-F. Li, “An innovative scheme for SINS/GPS ultra-tight integration system with low-grade IMU,” Aerospace Science and Technology, vol. 23, no. 1, pp. 452–460, 2012. View at Publisher · View at Google Scholar · View at Scopus
  9. D.-J. Jwo, C.-F. Yang, C.-H. Chuang, and T.-Y. Lee, “Performance enhancement for ultra-tight GPS/INS integration using a fuzzy adaptive strong tracking unscented Kalman filter,” Nonlinear Dynamics, vol. 73, no. 1-2, pp. 377–395, 2013. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  10. C. Hide, T. Moore, and M. Smith, “Adaptive Kalman filtering for low-cost INS/GPS,” Journal of Navigation, vol. 56, no. 1, pp. 143–152, 2003. View at Publisher · View at Google Scholar · View at Scopus
  11. D. Loebis, R. Sutton, J. Chudley, and W. Naeem, “Adaptive tuning of a Kalman filter via fuzzy logic for an intelligent AUV navigation system,” Control Engineering Practice, vol. 12, pp. 1531–1539, 2004. View at Publisher · View at Google Scholar · View at Scopus
  12. H. S. Son, J. B. Park, and Y. H. Joo, “Fuzzy c-means clustering-based smart tracking model for three-dimensional manoeuvring target including unknown acceleration input,” IET Radar, Sonar and Navigation, vol. 7, no. 6, pp. 623–634, 2013. View at Publisher · View at Google Scholar · View at Scopus
  13. S. Y. Noh, J. B. Park, and Y. H. Joo, “Intelligent tracking algorithm for manoeuvering target using Kalman filter with fuzzy gain,” IET Radar, Sonar and Navigation, vol. 1, no. 3, pp. 241–247, 2007. View at Publisher · View at Google Scholar · View at Scopus
  14. C.-T. Sun and J.-S. Jang, “Fuzzy modeling based on generalized neural networks and fuzzy clustering objective functions,” in Proceedings of the 30th IEEE Conference on Decision and Control, pp. 2924–2929, Brightonm, UK, December 1991. View at Scopus
  15. T. T. van Nguyen, M. D. Phung, T. H. Tran, and Q. V. Tran, “Mobile robot localization using fuzzy neural network based extended Kalman filter,” in Proceedings of the IEEE International Conference on Control System, Computing and Engineering (ICCSCE '12), pp. 416–421, Penang, Malaysia, November 2012. View at Publisher · View at Google Scholar · View at Scopus
  16. D.-J. Jwo and H.-C. Huang, “GPS navigation using fuzzy neural network aided adaptive extended Kalman filter,” in Proceedings of the 44th IEEE Conference on Decision and Control, pp. 7840–7845, Seville, Spain, December 2005. View at Publisher · View at Google Scholar · View at Scopus
  17. E. J. Ohlmeyer, “Analysis of an ultra-tightly coupled GPS/INS system in jamming,” in Proceedings of the IEEE/ION Position, Location, and Navigation Symposium, pp. 44–53, Coronado, Calif, USA, April 2006. View at Publisher · View at Google Scholar · View at Scopus
  18. J. Ali, “Strapdown inertial navigation system/astronavigation system data synthesis using innovation-based fuzzy adaptive Kalman filtering,” IET Science, Measurement and Technology, vol. 4, no. 5, pp. 246–255, 2010. View at Publisher · View at Google Scholar · View at Scopus
  19. M. Liu and F. Xiong, “A fuzzy adaptive GPS/INS integrated navigation algorithm,” in Proceedings of the International Conference on Advanced in Control Engineering and Information Science (CEIS '11), pp. 660–664, August 2011. View at Publisher · View at Google Scholar · View at Scopus
  20. X. Wang, J. Zhang, W. Wang, and P. Gao, “An innovative architecture of UTC GPS/INS system with improved performance under severe jamming,” Discrete Dynamics in Nature and Society, vol. 2014, Article ID 185618, 8 pages, 2014. View at Publisher · View at Google Scholar · View at Scopus