About this Journal Submit a Manuscript Table of Contents
Journal of Electrical and Computer Engineering
Volume 2012 (2012), Article ID 614384, 10 pages
http://dx.doi.org/10.1155/2012/614384
Review Article

On Particle Swarm Optimization for MIMO Channel Estimation

Information and Coding Theory Laboratory, University of Kiel, 24143 Kiel, Germany

Received 7 July 2011; Revised 30 November 2011; Accepted 14 December 2011

Academic Editor: Lisimachos P. Kondi

Copyright © 2012 Christopher Knievel and Peter Adam Hoeher. 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. 3GPP TS 36.300 version 10.0.0, 2010.
  2. J. Ylioinas and M. Juntti, “Iterative joint detection, decoding, and channel estimation in turbo-coded MIMO-OFDM,” IEEE Transactions on Vehicular Technology, vol. 58, no. 4, pp. 1784–1796, 2009. View at Publisher · View at Google Scholar · View at Scopus
  3. C. Knievel, Z. Shi, P. A. Hoeher, and G. Auer, “2D graph-based softchannel estimation for MIMO-OFDM,” in Proceedings of the IEEE International Conference on Communications (ICC '10), Cape Town, South Africa, May 2010.
  4. J. Kennedy and R. Eberhart, “Particle swarm optimization,” in Proceedings of the IEEE International Conference on Neural Networks, pp. 1942–1948, December 1995. View at Scopus
  5. J. Kennedy and R. C. Eberhart, Swarm Intelligence, Morgan Kaufmann, 2001.
  6. D. Goldberg, Genetic Algorithms in Search, Optimization, and MachineLearning, Addison-Wesley, Reading, Mass, USA, 1989.
  7. M. Y. Alias, S. Chen, and L. Hanzo, “Multiple-antenna-aided OFDM employing genetic-algorithm-assisted minimum bit error rate multiuser detection,” IEEE Transactions on Vehicular Technology, vol. 54, no. 5, pp. 1713–1721, 2005. View at Publisher · View at Google Scholar
  8. Y. Gao, Z. Li, X. Hu, and H. Liu, “A multi-population particle swarmoptimizer and its application to blind multichannel estimation,” in Proceedings of the 3rd International Conference on Natural Computation (ICNC '07), Haikou, China, August 2007.
  9. S. Tao, X. Jiadong, and Z. Kai, “Blind MIMO identification using particleswarm algorithm,” in Proceedings of the International Conference on Wireless Communications, Networking and Mobile Computing (WiCom '07), Shanghai, China, September 2007.
  10. H. Bodur, C. A. Tunc, D. Aktas, V. B. Erturk, and A. Altintas, “Particleswarm optimization for SAGE maximization step in channel parameterestimation,” in Proceedings of the 2nd European Conference on Antennas and Propagation (EuCAP '07), Ankara, Turkey, November 2007.
  11. W. Dong, J. Li, and Z. Lu, “Joint frequency offset and channel estimationfor MIMO systems based on particle swarm optimization,” in Proceedings of the IEEE 67th Vehicular Technology Conference (VTC '08-Spring), Singapore, May 2008.
  12. K. Schmeink, R. Block, C. Knievel, and P. A. Hoeher, “Joint channel andparameter estimation for combined communication and navigation usingparticle swarm optimization,” in Proceedings of the 7th Workshop on Positioning Navigationand Communication (WPNC '10), Dresden, Germany, March 2010.
  13. C.-H. Cheng, H.-C. Hsu, Y.-F. Huang, J.-H. Wen, and L.-C. Hsu, “Performance of an adaptive PSO parallel interference canceller forCDMA communication systems,” in Proceedings of the 5th Annual ICST WirelessInternet Conference (WICON '10), Singapore, March 2010.
  14. H. Palally, S. Chen, W. Yao, and L. Hanzo, “Particle swarm optimisationaided semi-blind joint maximum likelihood channel estimation and datadetection for MIMO systems,” in Proceedings of the IEEE/SP 15th Workshop on StatisticalSignal Processing (SSP '09), pp. 309–312, September 2009.
  15. K. K. Soo, Y. M. Siu, W. S. Chan, L. Yang, and R. S. Chen, “Particle-swarm-optimization-based multiuser detector for CDMA communications,” IEEE Transactions on Vehicular Technology, vol. 56, no. 5, pp. 3006–3013, 2007. View at Publisher · View at Google Scholar · View at Scopus
  16. L. D. Orazio, Study and development of novel techniques for PHYlayeroptimization of smart terminals in the context of next-generationmobile communications, Ph.D. thesis, University of Trento, Trento, Italy, 2008.
  17. N. Liangfang and D. Sidan, “Evolutionary particle swarm algorithmbased on higher-order cumulant fitting for blind channel identification,” in Proceedings of the Wireless Communications, Networking and Mobile Computing(WiCOM '08), Dalian, China, October 2008.
  18. W. Qiang, Z. Jiashu, and Y. Jing, “Identification of nonlinear communication channel using an novel particle swarm optimization technique,” in Proceedings of the International Conference on Computer Science and Software Engineering (CSSE '08), pp. 1162–1165, December 2008. View at Publisher · View at Google Scholar · View at Scopus
  19. F. van den Bergh and A. P. Engelbrecht, “A cooperative approach to participle swam optimization,” IEEE Transactions on Evolutionary Computation, vol. 8, no. 3, pp. 225–239, 2004. View at Publisher · View at Google Scholar · View at Scopus
  20. Y. Shi and R. Eberhart, “A modified particle swarm optimizer,” in Proceedings of the IEEE World Congress on Computational Intelligence, Anchorage, Alaska, USA, May 1998.
  21. D. Bratton and J. Kennedy, “Defining a standard for particle swarm optimization,” in Proceedings of the IEEE Swarm Intelligence Symposium (SIS '07), pp. 120–127, April 2007. View at Publisher · View at Google Scholar · View at Scopus
  22. Z.-H. Zhan, J. Zhang, Y. Li, and H. S.-H. Chung, “Adaptive particleswarm optimization,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 39, no. 6, pp. 227–234, 2009.
  23. A. Carlisle and G. Dozier, “An off-the-shelf PSO,” in Proceedings of the Particle Swarm Optimization Workshop, pp. 1–6, April 2001.
  24. K. Zielinski and R. Laur, “Stopping criteria for a constrained single-objective particle swarm optimization algorithm,” Informatica, vol. 31, no. 1, pp. 51–59, 2007. View at Scopus
  25. T. Hendtlass, “Particle swarm optimization and high dimensional problemspaces,” in Proceedings of the IEEE Congress on Evolutionary Computation (CEC '09), Trondheim, Norway, May 2009.
  26. B. Hassibi and B. M. Hochwald, “How much training is needed in multiple-antenna wireless links?” IEEE Transactions on Information Theory, vol. 49, no. 4, pp. 951–963, 2003. View at Publisher · View at Google Scholar · View at Scopus
  27. S. K. Mohammed, A. Zaki, A. Chockalingam, and B. S. Rajan, “Highratespace-time coded large-MIMO systems: low-complexity detectionand channel estimation,” IEEE Journal of Selected Topics in Signal Processing, vol. 3, no. 6, pp. 958–974, 2009.
  28. S. Mostaghim and J. Teich, “Strategies for finding good local guides inmulti-objective particle swarm optimization (MOPSO),” in Proceedings of the IEEESwarm Intelligence Symposium (SIS '03), Indianapolis, Ind, USA, April 2003.
  29. C. Knievel, P. A. Hoeher, G. Auer, and A. Tyrrell, “Particle swarmenhanced graph-based channel estimation for MIMO-OFDM,” in Proceedings of the IEEE Vehicular Technology Conference (VTC '11-Spring), Budapest, Hungary, May 2011.