DOI QR코드

DOI QR Code

A Joint Channel Estimation and Data Detection for a MIMO Wireless Communication System via Sphere Decoding

  • Patil, Gajanan R. (Dept. of Electronics and Telecommunication Engineering, Army Institute of Technology) ;
  • Kokate, Vishwanath K. (Dept. of Electronics and Telecommunication Engineering, Sinhgad College of Engineering)
  • Received : 2014.03.14
  • Accepted : 2014.05.14
  • Published : 2017.08.31

Abstract

A joint channel estimation and data detection technique for a multiple input multiple output (MIMO) wireless communication system is proposed. It combines the least square (LS) training based channel estimation (TBCE) scheme with sphere decoding. In this new approach, channel estimation is enhanced with the help of blind symbols, which are selected based on their correctness. The correctness is determined via sphere decoding. The performance of the new scheme is studied through simulation in terms of the bit error rate (BER). The results show that the proposed channel estimation has comparable performance and better computational complexity over the existing semi-blind channel estimation (SBCE) method.

Keywords

References

  1. G. J. Foschini, "Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas," Bell Labs Technical Journal, vol. 1, no. 2, pp. 41-59, 1996. https://doi.org/10.1002/bltj.2015
  2. G. J. Foschini and M. J. Gans, "On limits of wireless communications in a fading environment when using multiple antennas," Wireless Personal Communications, vol. 6, no. 3, pp. 311-335, 1998. https://doi.org/10.1023/A:1008889222784
  3. I. E. Telatar, "Capacity of multi-antenna Gaussian channels," European Transactions on Telecommunications, vol. 10, no. 6, pp. 585-595, 1999. https://doi.org/10.1002/ett.4460100604
  4. S. M. Alamouti, "A simple transmit diversity technique for wireless communications," IEEE Journal on Selected Areas in Communications, vol. 16, no. 8, pp. 1451-1458, 1998. https://doi.org/10.1109/49.730453
  5. V. Tarokh, N. Seshadri, and A. R. Calderbank, "Space-time codes for high data rate wireless communication: Performance criterion and code construction," IEEE Transactions on Information Theory, vol. 44, no. 2, pp. 744-765, 1998. https://doi.org/10.1109/18.661517
  6. J. Mietzner, R. Schober, L. Lampe, W. H. Gerstacker, and P. A. Hoeher, "Multiple-Antenna techniques for wireless communications: a comprehensive literature survey," IEEE Communications Surveys & Tutorials, vol. 11, no. 2, pp. 87-105, 2009. https://doi.org/10.1109/SURV.2009.090207
  7. M. Abuthinien, S. Chen, and L. Hanzo, "Semi-blind joint maximum likelihood channel estimation and data detection for MIMO systems," IEEE Signal Processing Letters, vol. 15, pp. 202-205, 2008. https://doi.org/10.1109/LSP.2007.911758
  8. A. Medles and D. T. M. Slock, "Semi-blind channel estimation for MIMO spatial multiplexing systems," in Proceedings of the Vehicular Technology Conference (VTC2001-Fall), Atlantic City, NJ, 2001, pp. 1240-1244.
  9. C. Cozzo and B. L. Hughes, "Joint channel estimation and data detection in space-time communications," IEEE Transactions on Communications, vol. 51, no. 8, pp. 1266-1270, 2003. https://doi.org/10.1109/TCOMM.2003.815062
  10. A. K. Jagannatham and B. D. Rao, "Whitening-rotation-based semi-blind MIMO channel estimation," IEEE Transactions on Signal Processing, vol. 54, no. 3, pp. 861-869, 2006. https://doi.org/10.1109/TSP.2005.862908
  11. A. K. Jagannatham and B. D. Rao, "A semi-blind technique for MIMO channel matrix estimation," in Proceedings of the IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC2003), Rome, Italy, 2003, pp. 304-308.
  12. J. K. Bhalani, D. Chauhan, Y. P. Kosta, and A. I. Trivedi, "Near optimal performance joint semi-blind channel estimation and data detection techniques for Alamouti coded single-carrier (SC) MIMO communication systems," Physical Communication, vol. 8, pp. 31-37, 2013. https://doi.org/10.1016/j.phycom.2013.01.001
  13. F. Wan, W. P. Zhu, and M. N. S. Swamy, "A signal perturbation free whitening-rotation-based semiblind approach for MIMO channel estimation," IEEE Transactions on Signal Processing, vol. 57, no. 8, pp. 3154-3166, 2009. https://doi.org/10.1109/TSP.2009.2020021
  14. S. S. Moghaddam and H. Saremi, "A novel semi-blind channel estimation scheme for Rayleigh flat fading MIMO channels (Joint LS estimation and ML detection)," IETE Journal of Research, vol. 56, no. 4, pp. 193-201, 2010. https://doi.org/10.4103/0377-2063.70629
  15. V. Buchoux, O. Cappe, E. Moulines, and A. Gorokhov, "On the performance of semi-blind subspace-based channel estimation," IEEE Transactions on Signal Processing, vol. 48, no. 6, pp. 1750-1759, 2000. https://doi.org/10.1109/78.845932
  16. S. Zhou, B. Muquet, and G. B. Giannakis, "Sub-space based (semi-) blind channel estimation for block precoded space-time OFDM," IEEE Transactions on Signal Processing, vol. 50, no. 5, pp. 1215-1228, 2002. https://doi.org/10.1109/78.995088
  17. A. Medles, D. T. M. Slock, and E. De Carvalho, "Linear prediction based semi-blind estimation of MIMO FIR channels," in Proceedings of the 3rd IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC'01), Taiwan, 2001, pp. 58-61.
  18. X. Deng, A. M. Haimovich, and J. Garcia-Frias, "Decision directed iterative channel estimation for MIMO systems," in Proceedings of IEEE International Conference on Communications (ICC'03), Anchorage, AK, 2003, pp. 2326-2329.
  19. O. Edfors, M. Sandell, J. J. van de Beek, S. K. Wilson, and P. O. Borjesson, "OFDM channel estimation by singular value decomposition," IEEE Transactions on Communications, vol. 46, no. 7, pp. 931-939, 1998. https://doi.org/10.1109/26.701321
  20. Y. Li, "Pilot-symbol-aided channel estimation for OFDM in wireless systems," IEEE Transactions on Vehicular Technology, vol. 49, no. 4, pp. 1207-1215, 2000. https://doi.org/10.1109/25.875230
  21. Y. Li, L. J. Cimini Jr, and N. R. Sollenberger, "Robust channel estimation for OFDM systems with rapid dispersive fading channels," IEEE Transactions on Communications, vol. 46, no. 7, pp. 902-915, 1998. https://doi.org/10.1109/26.701317
  22. B. Muquet, M. De Courville, and P. Duhamel, "Subspace-based blind and semi-blind channel estimation for OFDM systems," IEEE Transactions on Signal Processing, vol. 50, no. 7, pp. 1699-1712, 2002. https://doi.org/10.1109/TSP.2002.1011210
  23. C. Li and S. Roy, "Subspace-based blind channel estimation for OFDM by exploiting virtual carriers," IEEE Transactions on Wireless Communications, vol. 2, no. 1, pp. 141-150, 2003. https://doi.org/10.1109/TWC.2002.806383
  24. T. Cui and C. Tellambura, "Joint channel estimation and data detection for OFDM systems via sphere decoding," in Proceedings of IEEE Global Telecommunications Conference (GLOBECOM'04), Dallas, TX, 2004, pp. 3656-3660.
  25. T. Cui and C. Tellambura, "Joint data detection and channel estimation for OFDM systems," IEEE Transactions on Communications, vol. 54, no. 4, pp.670-679, 2006. https://doi.org/10.1109/TCOMM.2006.873075
  26. M. X. Chang and Y. T. Su, "Blind and semi-blind detections of OFDM signals in fading channels," IEEE Transactions on Communications, vol. 52, no. 5, pp.744-754, 2004. https://doi.org/10.1109/TCOMM.2004.826239
  27. B. Hassibi and H. Vikalo. "On the sphere decoding algorithm. Part I: The expected complexity," IEEE Transactions on Signal Processing, vol. 53, no. 8, pp. 2806-2818, 2005. https://doi.org/10.1109/TSP.2005.850352
  28. Q. Li and Z. Wang. "Improved k-best sphere decoding algorithms for MIMO systems," in Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS2006), Island of Kos, Greece, 2006.
  29. V. Neder, D. Ezri, and M. Haridim, "Low complexity sphere decoding for spatial multiplexing MIMO," 2008; http://arxiv.org/ftp/arxiv/papers/0802/0802.4390.pdf.
  30. J. G. Andrews, A. Ghosh, and R. Muhamed, Fundamentals of WiMAX: Understanding Broadband Wireless Networking. Upper Saddle River, NJ: Prentice Hall, 2007, pp. 149-198.
  31. X. Zhu and R. D. Murch, "Performance analysis of maximum likelihood detection in a MIMO antenna system," IEEE Transactions on Communications, vol. 50, no. 2, pp. 187-191, 2002. https://doi.org/10.1109/26.983313
  32. F. Zhao and S. Qiao, "Radius selection algorithms for sphere decoding," in Proceedings of the 2nd Canadian Conference on Computer Science and Software Engineering (C3S2E'09), Montreal, Canada, 2009, pp. 169-174.
  33. G. R. Patil and V. K. Kokate, "Simplified implementation of QRD-M algorithms for MIMO wireless communication system", CiiT International Journal of Wireless Communication, vol. 5, no. 9, pp. 392-397, 2013.
  34. G. R. Patil and V. K. Kokate, "Simulation study of some spatial multiplexing techniques for MIMO wireless communication systems," International Journal of Electronics Communication and Computer Engineering, vol. 3, no. 6, pp. 1568-1573, 2012.
  35. S. M. Kay, Fundamentals of Statistic Signal Processing: Estimation Theory. Englewood Cliffs, NJ: PTR Prentice- Hall, 1993.