Novel semi-blind channel estimation schemes for Rician fading MIMO channel
DOI:
https://doi.org/10.3103/S0735272712040012Keywords:
orthogonal Pilot ML estimator, QR decomposition, whitening rotation, semi-blind channel estimation, Rician fadingAbstract
In this paper, we propose two novel semi-blind channel estimation techniques based on QR decomposition for Rician fading Multiple Input Multiple output (MIMO) channel. In the first technique, the MIMO channel matrix H can be decomposed as an upper triangular matrix R and an unitary rotation matrix Q as H = RQ. The matrix R is estimated blindly from only received data by using orthogonal matrix triangularization based Householder QR decomposition, while the optimum rotation matrix Q is estimated exclusively from pilot based Orthogonal Pilot Maximum Likelihood Estimator (OPML) algorithm. In the second technique, joint semi-blind channel and data estimation is performed using QR decomposition based Least Square (LS) algorithm. Simulation results have been taken under 4-PSK data modulation scheme using two transmitters and six receiver antennas for different Rice factor K show that BER performance increases with increase in Rice factor. We compare these two new techniques with conventional Whitening Rotation (WR) based semi-blind channel estimation technique and the result shows that first proposed technique outperforms and second technique achieves very nearby performance compared to whitening rotation based technique.
References
- J. G. Proakis, Digital Communications (McGraw-Hill, New York, 2001).
- D. D. Pal, “Fractionally spaced semi-blind equalization of wireless channels,” in Proc. of the 26th Asilomar Conf. “Signals, Systems and Computers” (1992), Vol. 2, pp. 642–645.
- E. Carvalho and D. T. Slock, “Asymptotic performance of ML methods for semi-blind channel estimation,” in Proc. of Thirty-First Asilomar Conf. (1998), pp. 1624–1628.
- A. Medles, D. T. Slock, and E. D. Carvalho, “Linear prediction based semi-blind estimation of MIMO FIR channels,” in Proc. of Third IEEE SPAWC Int. Conf., 2001, Taiwan (Taiwan, 2001), pp. 58–61.
- A. K. Jagannatham and B. D. Rao, “A semi-blind technique for MIMO channel matrix estimation,” in Proc. of IEEE Workshop “Signal Processing Advances in Wireless Communications,” 2003, Italy (2003), pp. 304–308.
- X. Liu, F. Wang, and M. Bialkowski, “Investigation into a Whitening-Rotation-Based Semi-blind MIMO Channel Estimation for Correlated,” in Proc. of Int. Conf. “Signal Processing and Communication Systems” (2008), pp. 1–4.
- Q. Zhang, W. P. Zhu, and Q. Meng, “Whitening-rotation-based semi-blind estimation of MIMO FIR channels,” in Proc. of Int. Conf. “Wireless Communications & Signal Processing,” WCSP 2009, China (2009), pp. 1–4.
- F. Wan, W. P. Zhu, and M. N. Swamy, “Perturbation Analysis of Whitening-Rotation-based Semi-Blind MIMO Channel Estimation,” in Proc. of IEEE Int. Midwest Symp. “Circuits and Systems” (2009), pp. 240–243.
- F. Wan, W. P. Zhu, and M. N. Swamy, “A semi-blind channel estimation approach for MIMO-OFDM systems,” IEEE Trans. Signal Process. 56, No. 7, 2821 (2008).
- A. K. Jagannatham and B. D. Rao, “Whitening-rotation-based semi-blind MIMO channel estimation,” IEEE Trans. Signal Process. 54, No. 3, 861 (2006).
- M. Kiessling, J. Speidel, and Y. Chen, “MIMO Channel estimation in correlated fading environments,” in Proc. of 58th IEEE Vehicular Technology Conf. (VTC’03), 2003, Orlando (Orlando, 2003), pp. 1187–1191.
- G. Xie, X. Fang, A. Yang, and Y. Liu, “Channel estimation with pilot symbol and spatial correlation information,” in Proc. of IEEE Int. Symp. “Communication and Information Technologies” (ISCIT’07), 2007, Sydney, Australia (Sydney, 2007), pp. 1003–1006.
- S. M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory (Prentice-Hall, New Jersey, 1993).
- G. K. Krishnan and V. U. Reddy, “MIMO Communication — motivation and a practical realization,” IETE Technical Review 24, No. 4, 203 (2007).
- T. Wo and P. A. Hoeher, “Semi-Blind Channel Estimation for Frequency Selective MIMO System,” IST Mobile Summit (Dresden, 2005).
- T. Cui and C. Tellambura, “Semi-Blind Channel Estimation and Data Detection for OFDM System with Optimal Pilot Design,” IEEE Trans. Commun. 55, No. 5, 1053 (2007).
- T. Wo, P. A. Hoeher, A. Scherb, and K. D. Kammeyer, “Performance analysis of maximum — likelihood semi-blind estimation of MIMO Channel,” in Proc. of 63rd IEEE Vehicular Technology Conference (VCT), 2006, Melbourne (Melbourne, 2006), pp. 1738–1742.
- S. Chen, X. C. Yang, L. Chen, and L. Hanzo, “Blind joint maximum likelihood channel estimation and data detection for SIMO Systems,” Int. J. Automation and Computing 4, No.1, 47 (2007).
- K. Sabri, M. El Badaoui, F. Guillet, A. Adib, and D. Aboutajdine, “A Frequency domain based approach for blind MIMO System identification using second order cyclic statistics,” Signal Processing 89, No.1, 77 (2009).
- I. M. Panahi and Venket, “Blind identification of multi-channel system with single input and unknown order,” Signal Processing 89, No.7, 1288 (2009).
- M. Abuthinien, S. Chen, A. Wolfgang, and L. Hanzo, “Joint maximum likelihood channel estimation and data detection for MIMO system,” in Proc. of IEEE Int. Conf. “Communication” (ICC’07), 2007, Glasgow (Glasgow, 2007), pp. 5354–5358.
- M. A. Khalighi and S. Bourennane, “Semi-blind single—carrier MIMO Channel estimation using overlay pilots,” IEEE Trans. Vehicular Technol. 57, No. 3, 1951 (2008).
