Vol. 10
Latest Volume
All Volumes
PIERC 129 [2023] PIERC 128 [2023] PIERC 127 [2022] PIERC 126 [2022] PIERC 125 [2022] PIERC 124 [2022] PIERC 123 [2022] PIERC 122 [2022] PIERC 121 [2022] PIERC 120 [2022] PIERC 119 [2022] PIERC 118 [2022] PIERC 117 [2021] PIERC 116 [2021] PIERC 115 [2021] PIERC 114 [2021] PIERC 113 [2021] PIERC 112 [2021] PIERC 111 [2021] PIERC 110 [2021] PIERC 109 [2021] PIERC 108 [2021] PIERC 107 [2021] PIERC 106 [2020] PIERC 105 [2020] PIERC 104 [2020] PIERC 103 [2020] PIERC 102 [2020] PIERC 101 [2020] PIERC 100 [2020] PIERC 99 [2020] PIERC 98 [2020] PIERC 97 [2019] PIERC 96 [2019] PIERC 95 [2019] PIERC 94 [2019] PIERC 93 [2019] PIERC 92 [2019] PIERC 91 [2019] PIERC 90 [2019] PIERC 89 [2019] PIERC 88 [2018] PIERC 87 [2018] PIERC 86 [2018] PIERC 85 [2018] PIERC 84 [2018] PIERC 83 [2018] PIERC 82 [2018] PIERC 81 [2018] PIERC 80 [2018] PIERC 79 [2017] PIERC 78 [2017] PIERC 77 [2017] PIERC 76 [2017] PIERC 75 [2017] PIERC 74 [2017] PIERC 73 [2017] PIERC 72 [2017] PIERC 71 [2017] PIERC 70 [2016] PIERC 69 [2016] PIERC 68 [2016] PIERC 67 [2016] PIERC 66 [2016] PIERC 65 [2016] PIERC 64 [2016] PIERC 63 [2016] PIERC 62 [2016] PIERC 61 [2016] PIERC 60 [2015] PIERC 59 [2015] PIERC 58 [2015] PIERC 57 [2015] PIERC 56 [2015] PIERC 55 [2014] PIERC 54 [2014] PIERC 53 [2014] PIERC 52 [2014] PIERC 51 [2014] PIERC 50 [2014] PIERC 49 [2014] PIERC 48 [2014] PIERC 47 [2014] PIERC 46 [2014] PIERC 45 [2013] PIERC 44 [2013] PIERC 43 [2013] PIERC 42 [2013] PIERC 41 [2013] PIERC 40 [2013] PIERC 39 [2013] PIERC 38 [2013] PIERC 37 [2013] PIERC 36 [2013] PIERC 35 [2013] PIERC 34 [2013] PIERC 33 [2012] PIERC 32 [2012] PIERC 31 [2012] PIERC 30 [2012] PIERC 29 [2012] PIERC 28 [2012] PIERC 27 [2012] PIERC 26 [2012] PIERC 25 [2012] PIERC 24 [2011] PIERC 23 [2011] PIERC 22 [2011] PIERC 21 [2011] PIERC 20 [2011] PIERC 19 [2011] PIERC 18 [2011] PIERC 17 [2010] PIERC 16 [2010] PIERC 15 [2010] PIERC 14 [2010] PIERC 13 [2010] PIERC 12 [2010] PIERC 11 [2009] PIERC 10 [2009] PIERC 9 [2009] PIERC 8 [2009] PIERC 7 [2009] PIERC 6 [2009] PIERC 5 [2008] PIERC 4 [2008] PIERC 3 [2008] PIERC 2 [2008] PIERC 1 [2008]
2009-08-19
Performance and Complexity Improvement of Training Based Channel Estimation in MIMO Systems
By
Progress In Electromagnetics Research C, Vol. 10, 1-13, 2009
Abstract
Multiple-input multiple-output (MIMO) systems play a vital role in fourth generation wireless systems to provide advanced data rate. In this paper, a better performance and reduced complexity channel estimation method is proposed for MIMO systems based on matrix factorization. This technique is applied on training based least squares (LS) channel estimation for performance improvement. Experimentation results indicate that the proposed method not only alleviates the performance of MIMO channel estimation but also significantly reduces the complexity caused by matrix inversion. The performance evaluations are validated through computer simulations using MATLAB® 7.0 in terms of bit error rate (BER). Simulation results show that the BER performance and complexity of the proposed method clearly outperforms the conventional LS channel estimation method.
Citation
Mostafa Wasiuddin Numan Mohammad Tariqul Islam Norbahiah Misran , "Performance and Complexity Improvement of Training Based Channel Estimation in MIMO Systems," Progress In Electromagnetics Research C, Vol. 10, 1-13, 2009.
doi:10.2528/PIERC09071505
http://www.jpier.org/PIERC/pier.php?paper=09071505
References

1. Abouda, A. A. and S. G. HÄaggman, "Effect of mutual coupling on capacity of MIMO wireless channels in high SNR scenario," Progress In Electromagnetics Research, Vol. 65, 27-40, 2006.
doi:10.2528/PIER06072803

2. Abouda, A. A., H. M. El-Sallabi, and S. G. HÄaggman, "Effect of antenna array geometry and ULA azimuthal orientation on MIMO channel properties in urban city street grid," Progress In Electromagnetics Research, Vol. 64, 257-278, 2006.
doi:10.2528/PIER06050801

3. Paulraj, J., D. A. Gore, R. U. Nabar, and H. Bolcskei, "An overview of MIMO communications --- A key to gigabit wireless," Proceedings of the IEEE, Vol. 92, No. 2, 198-218, Feb. 2004.
doi:10.1109/JPROC.2003.821915

4. Wang, H. M., X. Q. Gao, B. Jiang, X. H. You, and W. Hong, "E±cient MIMO channel estimation using complementary sequences," IET Communications, Vol. 1, 962-969, Oct. 2007.

5. Ma, X., L. Yang, and G. B. Giannakis, "Optimal training for MIMO frequency-selective fading channels," IEEE Trans. Wireless Commun., Vol. 4, No. 2, 453-466, Mar. 2005.
doi:10.1109/TWC.2004.842998

6. Zhang, J., Z. He, and Y. Huang, "TSK fuzzy approach to channel estimation for MIMO-OFDM systems," IEEE Signal Process. Lett., Vol. 14, No. 6, 381-384, Jun. 2007.
doi:10.1109/LSP.2006.887847

7. Chen, R., H. Zhang, Y. Xu, and H. Luo, "On MM-type channel estimation for MIMO OFDM systems," IEEE Trans. Wireless Commun., Vol. 6, No. 3, 1046-1055, May 2007.
doi:10.1109/TWC.2007.05452

8. Van De Beek, J.-J., O. Edfors, M. Sandell, S. K. Wilson, and P. O. BÄorjesson, "On channel estimation in OFDM systems," Proc. IEEE Int. Veh. Technol. Conf., Chicago, Jul. 1995.

9. Sorrentino, S., D. Greco, and L. Reggiani, "Least squares channel estimation for IEEE 802.16e systems based on adaptive taps selection," Proc. IEEE Int. Veh. Technol. Conf., May 2008.

10. Golub, G. H. and C. F. Van Loan, Matrix Computations, 3rd Ed., John Hopkins University Press, Maryland, 1996.

11. WÄubben, D., J. Rinas, R. BÄohnke, V. KÄuhn, and K. D. Kammeyer, "E±cient algorithm for decoding layered space-time codes," Electron. Lett., Vol. 37, No. 22, 1348-1350, Oct. 2001.
doi:10.1049/el:20010899

12. Pham, V., M. Le, L. Mai, and G. Yoon, "\Low complexity maximum-likelihood decoder for VBLAST-STBC scheme in MIMO wireless communication systems," IEEE 63rd Vehicular Technology Conference, 2006, Vol. 5, 2309-2313, May 2006.
doi:10.1109/VETECS.2006.1683269

13. Guo, Z., Y. Wang, L. Li, X. Tao, P. Zhang, and H. Harada, "A hybrid detection algorithm for MIMO systems ," International Conference on Communications, Circuits and Systems Proceedings 2006, Vol. 2, 883-887, Jun. 2006.
doi:10.1109/ICCCAS.2006.284793

14. Noh, S., symbolY. Jung, S. Lee, and J. Kim, "Low-complexity detector for MIMO-OFDM-based wireless LANs," IEEE Trans. Circuits Syst. II: Exp. Briefs, Vol. 53, 1403-1407, Dec. 2006.
doi:10.1109/TCSII.2006.884122

15. Larsson, E. G. and P. Stoica, Space-time Block Coding for Wireless Communications, Cambridge Univ. Press, Cambridge, 2003.

16. Gesbert, D., M. Shafi, D. Shiu, P. J. Smith, and A. Naguib, "From theory to practice: An overview of MIMO space-time coded wireless systems," IEEE J. Select. Areas Commun., Vol. 21, No. 3, 281-302, Apr. 2003.
doi:10.1109/JSAC.2003.809458

17. Alamouti, S. M., "A simple transmit diversity technique for wireless communications," IEEE J. Select. Areas Commun., Vol. 16, 1451-1458, Oct. 1998.

18. Tarokh, V., H. Jafarkhani, and A. R. Calderbank, "Space-time block codes from orthogonal designs," IEEE Transactions on Information Theory, Vol. 45, No. 5, 1456-1467, Jul. 1999.
doi:10.1109/18.771146

19. Naguib, A. F., V. Tarokh, N. Seshadri, and A. R. Calderbank, "A spacetime coding modem for high data rate wireless communications," IEEE J. Select. Areas Commun., Vol. 16, No. 8, 1451-1458, 1998.
doi:10.1109/49.730454

20. Haykin, S., Adaptive Filter Theory, 4th Ed., Prentice Hall, New Jersey, 2002.