A Novel Semi-blind Channel Estimation Scheme for Rayleigh Flat Fading MIMO channels (joint LS estimation and ML detection)

References

• I Hen, MIMO architecture for wireless communications, Vol. 10, No. 2, Mobility Group, Intel. Corporation; 2006.
   Google Scholar
• M Pätzold, Mobile Fading Channels. New York, NY, USA: John Wiley and Sons; 2002.
   Google Scholar
• H Nooralizadeh, S Shirvani Moghaddam and H R Bakhshi, “Optimal training sequences in MIMO channel estimation with spatially correlated Rician flat fading,”: In Proceedings of 2009 IEEE Symposium on Industrial Electronics and Applications (ISIEA’09), Malaysia, pp. 227–32, Oct 2009.
   Google Scholar
• H Nooralizadeh and S Shirvani Moghaddam, “A new shifted scaled LS channel estimator for Rician flat fading MIMO channel,”: In Proceedings of 2009 IEEE Symposium on Industrial Electronics and Applications (ISIEA’09), Malaysia, pp. 243–7, Oct 2009.
   Google Scholar
• H Nooralizadeh and S Shirvani Moghaddam, “A novel shifted type of SLS estimator for estimation of Rician flat fading MIMO channels,” Elsevier Signal Processing, Vol. 90, No. 6, pp. 1886–93, Jun 2010.
   Google Scholar
• D Tse and P Viswanath, Fundamentals of Wireless Communications. Cambridge University Press, Cambridge, 2005.
   Google Scholar
• I E Telatar, “Capacity of multi-antenna Gaussian channels,” Eur. Trans. Telecomm., Vol. 10, No. 6, pp. 585–95, 1999.
   Google Scholar
• S K Jayaweera and H V Poor, “On the capacity of multiple-antenna systems in Rician fading,” IEEE Trans. Wireless Comm, Vol. 4, No. 3, pp. 1102–11, May 2005.
   Google Scholar
• M Kiessling, J Speidel and Y Chen, “MIMO channel estimation in correlated fading environments,”: In Proceedings of 58th IEEE Vehicular Technology Conference (VTC’03), Orlando, pp. 1187–91, Oct 2003.
   Google Scholar
• G Xie, X Fang, A Yang and Y Liu, “Channel estimation with pilot symbol and spatial correlation information,”: In Proceedings of IEEE International Symposium on Communications and Information Technologies (ISCIT’07), Sydney, pp. 1003–6, Oct 2007.
   Google Scholar
• S M Kay, Fundamentals of Statistical Signal Processing: Estimation Theory. Prentice-Hall, Upper Saddle River, NJ 07458, 1993.
   Google Scholar
• G K Krishnan and V U Reddy, “MIMO communications-motivation and a practical realization,” IETE Tech Rev, Vol. 24, No. 4, pp. 203–13, Jul-Aug 2007.
   Google Scholar
• T Wo and P A Hoeher, “Semi-blind channel estimation for frequency-selective MIMO systems,” in IST Mobile Summit, Dresden, Jun 2005.
   Google Scholar
• T Cui and C Tellambura, “Semiblind channel estimation and data detection for OFDM systems with optimal pilot design,” IEEE Trans. Commun., Vol. 55, No. 5, pp. 1053–62, May 2007.
   Google Scholar
• T Wo, P A Hoeher, A Scherb and K D Kammeyer, “Performance analysis of maximum-likelihood semi-blind estimation of MIMO channels,”: In Proceedings of 63rd IEEE Vehicular Technology Conference (VTC), Melbourne, pp. 1738–42, May 2006.
   Google Scholar
• S Chen, X C Yang, L Chen and L Hanzo, “Blind joint maximum likelihood channel estimation and data detection for SIMO systems,” Int. J. Auto. Comput., Vol. 4, No. 1, pp. 47–51, Jan 2007.
   Google Scholar
• 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,” Elsevier Signal Processing, Vol. 89, No. 1, pp. 77–86, Jan 2009.
   Google Scholar
• I M Panahi and K Venkat, “Blind identification of multi-channel systems with single input and unknown orders,” Elsevier Signal Processing, Vol. 89, No. 7, pp. 1288–310, Jul 2009.
   Google Scholar
• M Abuthinien, S Chen, A Wolfgang, and L Hanzo, “Joint maximum likelihood channel estimation and data detection for MIMO systems,”: In Proceedings of IEEE International Conference on Communications (ICC'07), Glasgow, pp. 5354–8, Jun 2007.
   Google Scholar
• M A Khalighi and S Bourennane, “Semi-blind single-carrier MIMO channel estimation using overlay pilots,” IEEE Trans. Vehicular Tech., Vol. 57, No. 3, pp. 1951–6, May 2008.
   Google Scholar
• B Chen and A P Petropulu, “Frequency domain blind MIMO system identification based on second and higher order statistics,” IEEE Trans. Signal Process., Vol. 49, No. 8, pp. 1677–88, Aug 2001.
   Google Scholar
• B Hassibi and B M Hochwald, “How much training is needed in multiple-antenna wireless links,” IEEE Trans. Inform. Theory, Vol. 49, No. 4, pp. 951–63, Apr 2003.
   Google Scholar
• L Tong and S Perreau, “Multichannel blind identification: From subspace to maximum likelihood methods,” Proc. IEEE, Vol. 86, No. 10, pp. 1951–68, 1998.
   Google Scholar
• J F Cardoso, “Source separation using higher ordered moments,”: In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’89), Glasgow, pp. 2109–12, 1989.
   Google Scholar
• P Comon, “Independent component analysis: A new concept?” Elsevier Signal Processing, Vol. 36, No. 3, pp. 287–314, 1994.
   Google Scholar
• C Y Chi, C Y Chen, C H Chen, and C C Feng, “Batch processing algorithms for blind equalization using higher-order statistics,” IEEE Signal Process. Mag., Vol. 20, No. 1, pp. 25–49, 2003.
   Google Scholar
• C Q Chang, S F Yau, P Kwok, F K Lam, and F H Chan, “Sequential approach to blind source separation using second order statistics,”: In Proceedings of 1st International Conference on Information, Communication, and Signal Processing (ICICS’97), pp. 1608–12, Sep 1997.
   Google Scholar
• K Abed-Meraim, Y Xiang, J H Manron, and Y B Hua, “A new approach to blind separation of cyclostationary sources,”: In Proceedings of 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications, Annapolis, pp. 114–7, May 1999.
   Google Scholar
• J Fang, A R Leyman, and Y H Chew, “A new closed-form solution for blind MIMO FIR channel estimation with colored sources,”: In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’05), Philadelphia, pp. 1049–52, Mar 2005.
   Google Scholar
• J Fang, A R Leyman, Y H Chew, and H Duan, “Some further results on blind identification of MIMO FIR channels via second-order statistics,” Elsevier Signal Processing, Vol. 87, No. 6, pp. 1434–47, Jun 2007.
   Google Scholar
• B S Paul and R Bhattacharjee, “MIMO channel modeling: A review,” IETE Tech. Rev., Vol. 25, No. 6, pp. 315–9, Nov-Dec 2008.
   Google Scholar
• X Ma, L Yang and G B Giannakis, “Optimal training for MIMO frequency-selective fading channels,” IEEE Trans. Wireless Comm., Vol. 4, No. 2, pp. 453–66, Mar 2005.
   Google Scholar
• S Shirvani Moghaddam and H Saremi, “Performance evaluation of LS algorithm in both training-based and semi-blind channel estimations for MIMO systems,”: In Proceedings of 1st IFIP/IEEE Wireless Days (WD) Conference, Dubai, pp. 1–5, Nov 2008.
   Google Scholar
• S M Alamouti, “A simple transmit diversity technique for wireless communications,” IEEE J. Select. Areas Commun., Vol. 16, No. 8, pp. 1451–8, Oct 1998.
   Google Scholar
• A J Paulraj, D A Gore, R U Nabar, and H Bölcskei, “An overview of MIMO communications - A key to gigabit wireless,” Proc. IEEE, Vol. 92, No. 2, pp. 198–218, 2004.
   Google Scholar
• A Medles and D T Slock, “Semiblind channel estimation for MIMO spatial multiplexing systems,”: In Proceedings of 54th IEEE Vehicular Technology Conference (VTC’01), pp.1240–4, Oct 2001.
   Google Scholar
• C Cozzo, B L Hughes, “Joint channel estimation and data detection in space-time communications,” IEEE Trans. Commun, Vol. 51, No. 8, pp. 1266–70, 2003.
   Google Scholar
• S Buzzi, M Lops, and S Sardellitti, “Performance of iterative data detection and channel estimation for single-antenna and multiple-antennas wireless communications,” IEEE Trans. Vehicular Technology, Vol. 53, No. 4, pp. 1085–104, 2004.
   Google Scholar
• S Chen, X C Yang, and L Hanzo, “Blind joint maximum likelihood channel estimation and data detection for single-input multiple-output systems,”: In Proceedings of 6th IEE International Conference of 3G and Beyond, London, Nov 2005.
   Google Scholar
• J Akhtman and L Hanzo, “Reduced-complexity maximum likelihood detection in multiple-antenna-aided multicarrier system,”: In Proceedings of 5th International Workshop on Multi-Carrier Spread-Spectrum, Germany, pp. 21–8, Sep 2005.
   Google Scholar
• A K Jagannatham, C R Murthy, and B D Rao, “Semi-blind MIMO channel estimation scheme for MRT,”: In Proceedings of International Conference on Acoustics, Speech, Signal Processing (ICASSP’05), Philadelphia, pp. 585–8, Mar 2005.
   Google Scholar
• A J Paulraj, R U Nabar, and D A Gore, Introduction to Space Time Wireless Communication. Cambridge University Press, Cambridge, 2003.
   Google Scholar
• M Biguesh and A B Gershman, “Training-based MIMO channel estimation: A study of estimator tradeoffs and optimal training signals,” IEEE Trans. Signal Process., Vol. 54, No. 3, pp. 884–93, Mar 2006.
   Google Scholar
• G Leus and A J Von Der Veen, “Optimal training for ML and LMMSE channel estimation in MIMO systems,”: In Proceedings of 13th IEEE Workshop on Statistical Signal Processing (SSP’05), France, pp. 1354–7, Jul 2005.
   Google Scholar
• S A Yang and J Wu, “Optimal binary training sequence design for multiple-antenna systems over dispersive fading channels,” IEEE Trans. Vehicular Tech., Vol. 51, No. 5, pp. 1271–6, Sep 2002.
   Google Scholar
• A K Jagannatham and B D Rao, “Constrained ML algorithms for semiblind MIMO channel estimation,”: In Proceedings of IEEE Global Telecommun. Conf. (GLOBECOM’04), Dallas, pp. 2457–79, 29 Nov– 3 Dec, 2004.
   Google Scholar
• C R Murthy, A K Jagannatham, and B D Rao, “Training-based and semiblind channel estimation for MIMO systems with maximum ratio transmission,” IEEE Trans. Signal Process., Vol. 54, No. 7, pp. 2546–58, 2006.
   Google Scholar
• M Pukkila, Iterative Receivers and Multichannel Equalization for Time Division Multiple Access Systems. Ph.D. Final Thesis, Helsinki University of Technology, 2003.
   Google Scholar
• J Choi, Signal Processing-Oriented Topics (SPOTs) for MIMO Wireless Communications. University of Ottawa, 2006.
   Google Scholar