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The Scientific World Journal
Volume 2015, Article ID 341619, 8 pages
http://dx.doi.org/10.1155/2015/341619
Research Article

Subspace Compressive GLRT Detector for MIMO Radar in the Presence of Clutter

1Sensing, Processing & Communications Laboratory, Faculty of Computing, Engineering & Sciences, Staffordshire University, Stoke-on-Trent ST4 2DE, UK
2School of Science and Engineering, United International University, Dhanmondi, Dhaka 1209, Bangladesh
3School of Science, Technology and Health, University Campus Suffolk, Ipswich IP4 1QJ, UK

Received 13 April 2015; Revised 17 August 2015; Accepted 27 August 2015

Academic Editor: Sandra Costanzo

Copyright © 2015 Siva Karteek Bolisetti 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. N. B. Pulsone and M. A. Zatman, “A computationally efficient two-step implementation of the GLRT,” IEEE Transactions on Signal Processing, vol. 48, no. 3, pp. 609–616, 2000. View at Publisher · View at Google Scholar · View at Scopus
  2. E. Conte, A. De Maio, and G. Ricci, “GLRT-based adaptive detection algorithms for range-spread targets,” IEEE Transactions on Signal Processing, vol. 49, no. 7, pp. 1336–1348, 2001. View at Publisher · View at Google Scholar · View at Scopus
  3. C. Hao, L. Cai, C. Si, and Q. Xu, “A new two-stage Rao test detector,” in Proceedings of the IEEE 10th International Conference on Signal Processing (ICSP '10), pp. 1232–1235, October 2010. View at Publisher · View at Google Scholar · View at Scopus
  4. K. J. Sohn, H. Li, and B. Himed, “Multichannel parametric rao detector,” in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '06), vol. 4, p. 4, IEEE, Toulouse, France, May 2006. View at Publisher · View at Google Scholar
  5. E. Fishler, A. Haimovich, R. Blum, D. Chizhik, L. Cimini, and R. Valenzuela, “MIMO radar: an idea whose time has come,” in Proceedings of the IEEE Radar Conference, pp. 71–78, IEEE, April 2004. View at Publisher · View at Google Scholar
  6. D. W. Bliss and K. W. Forsythe, “Multiple-input multiple-output (MIMO) radar and imaging: degrees of freedom and resolution,” in Proceedings of the Conference Record of the 37th Asilomar Conference on Signals, Systems and Computers, vol. 1, pp. 54–59, November 2003. View at Scopus
  7. L. Xu, J. Li, and P. Stoica, “Adaptive techniques for MIMO radar,” in Proceedings of the 4th IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings (SAM '06), pp. 258–262, July 2006. View at Publisher · View at Google Scholar · View at Scopus
  8. S. K. Bolisetti, K. Ahmed, M. Patwary, and M. Abdel-Maguid, “Compressive parametric GLRT detector for airborne MIMO radar,” in Proceedings of the International Conference on Wireless Communications and Signal Processing (WCSP '11), pp. 1–5, November 2011. View at Publisher · View at Google Scholar · View at Scopus
  9. J. Wang, S. Jiang, J. He, Z. Liu, and C. J. Baker, “Adaptive subspace detector for multi-input multi-output radar in the presence of steering vector mismatch,” IET Radar, Sonar and Navigation, vol. 5, no. 1, pp. 23–31, 2011. View at Publisher · View at Google Scholar · View at Scopus
  10. H. Chen, X. Li, W. Jiang, and Z. Zhuang, “MIMO radar sensitivity analysis of antenna position for direction finding,” IEEE Transactions on Signal Processing, vol. 60, no. 10, pp. 5201–5216, 2012. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  11. T. G. Pratt, Y.-F. Huang, Z. Gong, and M. Lemmon, “Subspace optimization in centralized noncoherent MIMO radar,” IEEE Transactions on Aerospace and Electronic Systems, vol. 47, no. 2, pp. 1230–1240, 2011. View at Publisher · View at Google Scholar · View at Scopus
  12. 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
  13. R. Baraniuk and P. Steeghs, “Compressive radar imaging,” in Proceedings of the IEEE Radar Conference, pp. 128–133, Boston, Mass, USA, April 2007. View at Publisher · View at Google Scholar · View at Scopus
  14. K. Ahmed, S. Kothuri, M. Patwary, and M. Abdel-Maguid, “Subspace compressive GLRT detector for airborne MIMO radar,” in Proceedings of the 16th Asia-Pacific Conference on Communications (APCC '10), pp. 302–306, November 2010. View at Publisher · View at Google Scholar · View at Scopus
  15. Y. Yu, A. P. Petropulu, and H. V. Poor, “MIMO radar using compressive sampling,” IEEE Journal on Selected Topics in Signal Processing, vol. 4, no. 1, pp. 146–163, 2010. View at Publisher · View at Google Scholar · View at Scopus
  16. K. Tan, Q. Wan, A. Huang, and J. Wang, “A fast subspace pursuit for compressive sensing,” in Proceedings of the IET International Radar Conference, pp. 1–4, IET, Guilin, China, April 2009.
  17. Y.-G. Lin, Y.-R. Wu, W. Hong, and B.-C. Zhang, “Compressive sensing in radar imaging,” in Proceedings of the IET International Radar Conference, pp. 1–3, April 2009. View at Publisher · View at Google Scholar · View at Scopus
  18. C. Bockelmann, H. F. Schepker, and A. Dekorsy, “Compressive sensing based multi-user detection for machine-to-machine communication,” Transactions on Emerging Telecommunications Technologies, vol. 24, no. 4, pp. 389–400, 2013. View at Publisher · View at Google Scholar
  19. W. Xu, J. Lin, K. Niu, and Z. He, “A joint recovery algorithm for distributed compressed sensing,” European Transactions on Telecommunications, vol. 23, no. 6, pp. 550–559, 2012. View at Publisher · View at Google Scholar · View at Scopus
  20. Z. Wang, G. R. Arce, and B. M. Sadler, “Subspace compressive detection for sparse signals,” in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '08), pp. 3873–3876, Las Vegas, Nev, April 2008. View at Publisher · View at Google Scholar · View at Scopus
  21. B. Liu, B. Chen, and J. Michels, “A GLRT for radar detection in the presence of compound-gaussian clutter and additive white gaussian noise,” in Proceedings of the Sensor Array and Multichannel Signal Processing Workshop Proceedings, pp. 87–91, August 2002.
  22. P. Wang, H. Li, and B. Himed, “Moving target detection using distributed MIMO radar in clutter with nonhomogeneous power,” IEEE Transactions on Signal Processing, vol. 59, no. 10, pp. 4809–4820, 2011. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  23. K. Gerlach, “Spatially distributed target detection in non-gaussian clutter,” IEEE Transactions on Aerospace and Electronic Systems, vol. 35, no. 3, pp. 926–934, 1999. View at Publisher · View at Google Scholar · View at Scopus
  24. A. Breloy, G. Ginolhac, F. Pascal, and P. Forster, “Robust estimation of the clutter subspace for a low rank heterogeneous noise under high clutter to noise ratio assumption,” in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '14), pp. 66–70, IEEE, Florence, Italy, May 2014. View at Publisher · View at Google Scholar
  25. L. Bai, S. Roy, and M. Rangaswamy, “Compressive radar clutter subspace estimation using dictionary learning,” in Proceedings of the IEEE Radar Conference (RADAR '13), pp. 1–6, Ottawa, Canada, May 2013. View at Publisher · View at Google Scholar · View at Scopus
  26. A. Jaffer, B. Himed, and P. Ho, “Estimation of range-dependent clutter covariance by configuration system parameter estimation,” in Proceedings of the IEEE International Radar Conference, pp. 596–601, May 2005. View at Publisher · View at Google Scholar
  27. R. S. Raghavan, “Statistical interpretation of a data adaptive clutter subspace estimation algorithm,” IEEE Transactions on Aerospace and Electronic Systems, vol. 48, no. 2, pp. 1370–1384, 2012. View at Publisher · View at Google Scholar · View at Scopus