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A New Approach to Semi-blind Channel Estimation for MIMO Wireless Communication System

by Gajanan R Patil, Vishwanath K Kokate
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 99 - Number 3
Year of Publication: 2014
Authors: Gajanan R Patil, Vishwanath K Kokate
10.5120/17350-7823

Gajanan R Patil, Vishwanath K Kokate . A New Approach to Semi-blind Channel Estimation for MIMO Wireless Communication System. International Journal of Computer Applications. 99, 3 ( August 2014), 1-7. DOI=10.5120/17350-7823

@article{ 10.5120/17350-7823,
author = { Gajanan R Patil, Vishwanath K Kokate },
title = { A New Approach to Semi-blind Channel Estimation for MIMO Wireless Communication System },
journal = { International Journal of Computer Applications },
issue_date = { August 2014 },
volume = { 99 },
number = { 3 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume99/number3/17350-7823/ },
doi = { 10.5120/17350-7823 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:27:11.494105+05:30
%A Gajanan R Patil
%A Vishwanath K Kokate
%T A New Approach to Semi-blind Channel Estimation for MIMO Wireless Communication System
%J International Journal of Computer Applications
%@ 0975-8887
%V 99
%N 3
%P 1-7
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A new approach to Semi-Blind Channel Estimation (SBCE) technique for Multiple Input Multiple Output (MIMO) wireless communication system is proposed. It combines the Least Square (LS) and Minimum Mean Square Error (MMSE) Training Based Channel Estimation (TBCE) scheme with whitening rotation based orthogonal pilot maximum likelihood (OPML) semi-blind channel estimation (SBCE) scheme. In the new approach the whitening matrix is obtained from blind data and rotation matrix is obtained from LS estimated channel. Another modification suggested in this contribution is the use of whitening matrix for MMSE estimate. The channel correlation matrix required for MMSE estimation can be obtained based on latest channel statistics and hence is more reliable. At high SNR this scheme offers better performance than the OPML SBCE method. These advantages are achieved at the cost of negligible reduction in performance in low SNR regime.

References
  1. G. J. Foschini, "Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas," Bell Syst. Tech. J. , pp. 41–59, Autum 1996.
  2. G. J. Foschini, M. J. Gans, "On limits of wireless communications in a fading environment when using multiple antennas, Kluwer Wireless Pers. Commun. ," vol. 6, pp. 311–335, Mar 1998.
  3. E. Telatar, "Capacity of multi-antenna Gaussian channels, European Trans. Telecom," vol. 10, no. 6, pp. 585–595, Nov/Dec 1999.
  4. S. M. Alamouti, "A simple transmit diversity technique for wireless communications," IEEE J. Select. Areas Commun. , vol. 16, no. 8, pp. 1451–1458, Oct 1998.
  5. V. Tarokh, N. Seshadri, and A. R. Calderbank, "Space-time codes for high data rate wireless communication: Performance criterion and code construction," IEEE Trans. Inform. Theory, vol. 44, no. 2, pp. 744–765, Mar 1998
  6. Jan Mietzner, Robert Schober, Lutz Lampe, Wolfgang H. Gerstacker, Peter A. Hoeher, "Multiple-Antenna Techniques for Wireless Communications – A Comprehensive Literature Survey, IEEE communications survey and tutorials," Vol II No 2. pp. 87-105, Second quarter 2009
  7. Mohammed Abuthinien, Sheng Chen, and LajosHanzo, "Semi-blind Joint Maximum Likelihood Channel Estimation and Data Detection for MIMO Systems," IEEE Signal Processing Letters, pp. 202-205, 2008.
  8. A. Medles and D. T. M. Slock, "Semiblind channel estimation for MIMO spatial multiplexing systems," in Proc. VTC2001-Fall, Oct. 7–11, 2001, vol. 2, pp. 1240–1244.
  9. C. Cozzo and B. L. Hughes, "Joint channel estimation and data detection in space-time communications," IEEE Trans. Commun. , vol. 51, no. 8, pp. 1266–1270, Aug. 2003.
  10. A. K. Jagannatham and B. D. Rao, "Whitening-rotation-based semi blind MIMO channel estimation," IEEE Trans. Signal Process. , vol. 54, no. 3, pp. 861–869, Mar. 2006.
  11. A. K. Jagannatham, B. D. Rao, "A semi-blind technique for MIMO channel matrix estimation," in: Proc. of IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2003, Rome, Italy, pp. 304–308
  12. Jaymin Bhalani, Dharmendra Chauhan, Y. P. Kosta, 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, Sept 2013.
  13. Wan F, Zhu W P, Swamy M N S. "A signal perturbation free whitening-rotation-based semi-blind approach for MIMO channel estimation," IEEE Transactions on Signal Processing, Vol 57(8), pp 3154-3166, 2009.
  14. Xia LIU, Marek E. Baikowski, Feng Wang, "A Novel Blind Channel Estimation for a 2x2 MIMO System, Int. J. Communications," Network and System Sciences, Vol 5, pp. 344-350, 2009.
  15. Shahriar Shirvani Moghaddam, Hossein 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, Issue 4, pp 193-201, 2010
  16. V. Buchoux, O. Cappe, E. Moulines, and A. Gorokhov, "On the performance of semi-blind subspace-based channel estimation," IEEE Trans. On Signal Processing, vol. 48, no. 6, pp. 1750–1759, 2000.
  17. 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, May 2002.
  18. A. Medles, D. T. M. Slock, E. D. Carvalho, "Linear prediction based semiblind estimation of MIMO FIR channels," In: Third IEEE SPAWC, Taiwan, 2001, pp. 58–61.
  19. O. Edfors, M. Sandell, J. -J. van de Beek, S. Wilson, and P. Borjesson, "OFDM channel estimation by singular value decomposition," IEEE Trans. Commun. , vol. 46, no. 7, pp. 931–939, Jul. 1998.
  20. Y. Li, "Pilot-symbol-aided channel estimation for OFDM in wireless systems," IEEE Trans. Veh. Technol. , vol. 49, no. 3, pp. 1207–1215, Jul. 2000.
  21. Y. Li, L. J. Cimini, Jr. , and N. Sollenberger, "Robust channel estimation for OFDM systems with rapid dispersive fading channels," IEEE Trans. Commun. , vol. 46, no. 7, pp. 902–915, Jul. 1998.
  22. B. Muquet, M. de Courville, and P. Duhamel, "Subspace-based blind and semi blind channel estimation for OFDM systems," IEEE Trans. Signal Process. , vol. 50, no. 7, pp. 1699–1712, Jul. 2002.
  23. C. Li and S. Roy, "Subspace-based blind channel estimation for OFDM by exploiting virtual carriers," IEEE Trans. Wireless Commun. , vol. 2, no. 1, pp. 141–150, Jan. 2003.
  24. T. Cui and C. Tellambura, "Joint channel estimation and data detection for OFDM systems via sphere decoding," in Proc. IEEE Global Telecommun. Conf. , Nov. 2004, pp. 3656–3660.
  25. T. Cui and C. Tellambura, "Joint data detection and channel estimation for OFDM systems," IEEE Trans. Commun. , vol. 54, no. 4, pp. 670–679, Apr. 2006.
  26. M. -X. Chang and Y. T. Su," Blind and semi blind detections of OFDM signals in fading channels," IEEE Trans. Commun. , vol. 52, no. 5, pp. 744–754, May 2004.
  27. GH Golub, CFV Loan, Matrix Computations, 3rd edn. (Johns HopkinsUniversity Press, Baltimore, MD, 1983)
  28. P. Courrieu. , "Fast Computation of Moore-Penrose Inverse matrices," Neural Information Processing-Letters and Reviews, 8:25–29, 2005.
  29. Vasilios N. Katsikis, Dimitrios Pappas, "Fast Computing of Moore-Penrose Inverse matrix," Electronic Journal of Linear Algebra ISSN 1081-3810 A publication of the International Linear Algebra Society Volume 17, pp. 637-650, November 2008
  30. Gajanan R Patil, V K Kokate, Simulation Study of Some Spatial Diversity Techniques for MIMO Wireless Communication Systems, International Journal of Emerging Technology and Advanced Engineering, Volume 2, Issue 12, Dec. 2012
  31. Gajanan R Patil, V K Kokate,"Simulation Study of Some Spatial Multiplexing Techniques for MIMO Wireless Communication Systems," International Journal of Electronics Communication and Computer Engineering, Volume 3, Issue 6, Nov. 2012
  32. S. M. Kay, "Fundamentals of statistic signal processing: Estimation theory," Prentice-Hall, Incorporation, 1993.
  33. Yong Soo Cho, Jaekwon Kim, Won Young Yang, Chung G. Kang, "MIMO-OFDM Wireless Communications with MATLAB," Wiley-IEEE Press, 2010.
  34. Eric G Larsson, Peter Stoica, "Space Time Block Coding for Wireless Communications," Cambridge University Press, 2003.
  35. D. Tse and P. Viswanath, "Fundamentals of Wireless Communication," Cambridge University Press, 2005.
Index Terms

Computer Science
Information Sciences

Keywords

Training Based Channel Estimation Semi-blind Channel Estimation Least Square Minimum Mean Square Error Multiple Input Multiple Output Singular Value Decomposition Spatial Diversity Spatial Multiplexing

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