Table of Contents Author Guidelines Submit a Manuscript
International Journal of Antennas and Propagation
Volume 2014 (2014), Article ID 501025, 8 pages
http://dx.doi.org/10.1155/2014/501025
Research Article

Low-Complexity Spatial-Temporal Filtering Method via Compressive Sensing for Interference Mitigation in a GNSS Receiver

1Department of Biomechatronics Engineering, National Pingtung University of Science and Technology, No. 1, Shuefu Road, Neipu, Pingtung County 91201, Taiwan
2Department of Electronic Engineering, National Chin-Yi University of Technology, No. 57, Sec. 2, Zhongshan Road, Taiping District, Taichung 41170, Taiwan

Received 17 February 2014; Revised 17 April 2014; Accepted 22 April 2014; Published 28 May 2014

Academic Editor: Hon Tat Hui

Copyright © 2014 Chung-Liang Chang and Guo-Shing Huang. 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. R. L. Fante and J. J. Vaccaro, “Wideband cancellation of interference in a GPS receive array,” IEEE Transactions on Aerospace and Electronic Systems, vol. 36, no. 2, pp. 549–564, 2000. View at Publisher · View at Google Scholar · View at Scopus
  2. T. K. Sarkar and R. Adve, “Space-time adaptive processing using circular arrays,” IEEE Antennas and Propagation Magazine, vol. 43, no. 1, pp. 138–143, 2001. View at Publisher · View at Google Scholar · View at Scopus
  3. P. Xiong, M. J. Medley, and S. N. Batalama, “Spatial and Temporal Processing for Global Navigation Satellite Systems: the GPS receiver paradigm,” IEEE Transactions on Aerospace and Electronic Systems, vol. 39, no. 4, pp. 1471–1484, 2003. View at Publisher · View at Google Scholar · View at Scopus
  4. C.-L. Chang, “Self-tuning synthesis filter against mutual coupling and interferences for GNSS and its implementation on embedded board,” EURASIP Journal on Advances in Signal Processing, vol. 2010, Article ID 123625, 2010. View at Publisher · View at Google Scholar · View at Scopus
  5. S. Daneshmand, A. Broumandan, J. Nielsen, and G. Lachapelle, “Interference and multipath mitigation utilising a two-stage beamformer for global navigation satellite systems applications,” IET Radar, Sonar & Navigation, vol. 7, no. 1, pp. 55–66, 2013. View at Publisher · View at Google Scholar · View at Scopus
  6. J. F. Degurse, L. Savy, S. Marcos, and J. P. Molinié, “Deterministic aided STAP for target detection in heterogeneous situations,” International Journal of Antennas and Propagation, vol. 2013, Article ID 826935, 10 pages, 2013. View at Publisher · View at Google Scholar
  7. H. Keshvadi, A. Broumandan, and G. Lachapelle, “Spatial characterization of GNSS multipath channels,” International Journal of Antennas and Propagation, vol. 2012, Article ID 236464, 15 pages, 2012. View at Publisher · View at Google Scholar · View at Scopus
  8. C.-L. Chang, “Multiplexing scheme for anti-jamming global navigation satellite system receivers,” IET Radar, Sonar and Navigation, vol. 6, no. 6, pp. 443–457, 2012. View at Publisher · View at Google Scholar · View at Scopus
  9. E. J. Candes and M. B. Wakin, “An introduction to compressive sampling: a sensing/sampling paradigm that goes against the common knowledge in data acquisition,” IEEE Signal Processing Magazine, vol. 25, no. 2, pp. 21–30, 2008. View at Publisher · View at Google Scholar · View at Scopus
  10. E. J. Candes and T. Tao, “Near-optimal signal recovery from random projections: universal encoding strategies?” IEEE Transactions on Information Theory, vol. 52, no. 12, pp. 5406–5425, 2006. View at Publisher · View at Google Scholar · View at Scopus
  11. J. A. Tropp and A. C. Gilbert, “Signal recovery from random measurements via orthogonal matching pursuit,” IEEE Transactions on Information Theory, vol. 53, no. 12, pp. 4655–4666, 2007. View at Publisher · View at Google Scholar · View at Scopus
  12. T. Blumensath and M. E. Davies, “Iterative thresholding for saparse approximations,” Journal of Fourier Analysis and Applications, vol. 14, no. 5-6, pp. 629–654, 2008. View at Publisher · View at Google Scholar · View at Scopus
  13. A. Majumdar, R. K. Ward, and T. Aboulnasr, “Compressed sensing based real-time dynamic MRI reconstruction,” IEEE Transactions on Medical Imaging, vol. 31, no. 12, pp. 2253–2266, 2012. View at Publisher · View at Google Scholar · View at Scopus
  14. J. Yang, J. Thompson, X. Huang, T. Jin, and Z. Zhou, “Random-frequency SAR imaging based on compressed sensing,” IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 2, pp. 983–994, 2013. View at Publisher · View at Google Scholar · View at Scopus
  15. W. U. Bajwa, J. Haupt, A. M. Sayeed, and R. Nowak, “Compressed channel sensing: a new approach to estimating sparse multipath channels,” Proceedings of the IEEE, vol. 98, no. 6, pp. 1058–1076, 2010. View at Publisher · View at Google Scholar · View at Scopus
  16. A. C. Gürbüz, J. H. McClellan, and V. Cevher, “A compressive beamforming method,” in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '08), pp. 2617–2620, April 2008. View at Publisher · View at Google Scholar · View at Scopus
  17. Y. Wang, G. Leus, and A. Pandharipande, “Direction estimation using compressive sampling array processing,” in Proceedings of the IEEE/SP 15th Workshop on Statistical Signal Processing (SSP '09), pp. 626–629, Cardiff, UK, September 2009. View at Publisher · View at Google Scholar · View at Scopus
  18. C.-L. Chang and G.-S. Huang, “Spatial compressive array processing scheme against multiple narrowband interferences for GNSS,” in Proceedings of the IEEE 1st AESS European Conference on Satellite Telecommunications (ESTEL '12), Rome, Italy, October 2012. View at Scopus
  19. R. Baraniuk, M. Davenport, R. DeVore, and M. Wakin, “A simple proof of the restricted isometry property for random matrices,” Constructive Approximation, vol. 28, no. 3, pp. 253–263, 2008. View at Publisher · View at Google Scholar · View at Scopus
  20. S. Hyakin, Adaptive Filter Theory, Prentice Hall, Upper Saddle River, NJ, USA, 4th edition, 2002.
  21. Y. T. J. Morton, L. L. Liou, D. M. Lin, J. B. Y. Tsui, and Q. Zhou, “Interference cancellation using power minimization and self-coherence properties of GPS signals,” in Proceedings of the 17th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS '04), pp. 132–143, Long Beach, Calif, USA, September 2004. View at Scopus
  22. W. L. Myrick, M. D. Zoltowski, and J. S. Goldstein, “Anti-jam space-time preprocessor for GPS based on multistage nested Wiener filter,” in Proceedings of the IEEE Military Communications Conference (MILCOM '99), pp. 675–681, November 1999. View at Scopus
  23. J. Li, P. Stoica, and Z. Wang, “On robust capon beamforming and diagonal loading,” IEEE Transactions on Signal Processing, vol. 51, no. 7, pp. 1702–1715, 2003. View at Publisher · View at Google Scholar · View at Scopus
  24. C. L. Chang and B. H. Wu, “Analysis of performance and implementation complexity of array processing in anti-jamming GNSS receivers,” Electrical and Electronic Engineering, vol. 1, no. 2, pp. 79–84, 2011. View at Google Scholar
  25. T. S. Kelso, “GPS YUMA Almanacs,” 2012, https://celestrak.com/GPS/almanac/Yuma/.
  26. J.-C. Juang and C.-L. Chang, “Performance analysis of GPS pseudolite interference mitigation using adaptive spatial beamforming,” in Proceedings of the 61st Annual Meeting of The Institute of Navigation, pp. 1179–1187, Cambridge, Mass, USA, June 2005. View at Scopus