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Channel estimation of pulse-shaped multiple-input multiple-output orthogonal frequency division multiplexing systems

Channel estimation of pulse-shaped multiple-input multiple-output orthogonal frequency division multiplexing systems

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Most of the existing multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) channel estimation methods do not take into account the effect of the pulse-shaping filter in the transmitter nor of the matched filter in the receiver, thus leading to an estimation solution for the composite channel including the pulse-shaping and matched filters, instead of the pure wireless channel. This solution is not sufficiently accurate because of the extra length of the composite channel induced by the two filters especially in the scenario with a small pure channel length. In this study, the authors present a novel methodology for the estimation of the pure multipath channels of pulse-shaped MIMO-OFDM systems. By utilising the knowledge of pulse-shaping and matched filters, the authors develop two channel estimation approaches, namely, a semi-blind approach for the sampling duration-based channels, in which the multipath occurs at the sampling instant and a training-based least-square technique for the upsampling duration-based channels where the multipath may occur in a fraction of sampling duration. A number of computer simulation-based experiments are conducted, and these simulation results confirm the efficacy of the proposed approaches.

References

    1. 1)
    2. 2)
      • Y.-S. Chen , C.-A. Lin . Blind-channel identification for MIMO single-carrier zero-padding block-transmission systems. IEEE Trans. Circuits Syst. I, Reg. Papers , 6 , 1571 - 1579
    3. 3)
      • J. Wang , J. Chen . Performance of wideband CDMA systems with complex spreading and imperfect channel estimation. IEEE J. Sel. Area Commun. , 152 - 163
    4. 4)
    5. 5)
      • C.-A. Lin , Y.-S. Chen . Blind identification of MIMO channels using optimal periodic precoding. IEEE Trans. Circuits Syst. I, Reg. Papers , 4 , 901 - 911
    6. 6)
    7. 7)
      • Wan, F., Zhu, W.-P., Swamy, M.N.S.: `Semi-blind channel estimation of MIMO-OFDM systems with pulse shaping', Proc. IEEE Int. Symp. on Circuits and Systems (ISCAS), May 2008, Seattle, WA, USA, p. 125–128.
    8. 8)
      • F. Wan , W.-P. Zhu , M.N.S. Swamy . A semi-blind channel estimation approach for MIMO-OFDM systems. IEEE Trans. Signal Process. , 7 , 2821 - 2834
    9. 9)
    10. 10)
      • Borran, M.J., Varshney, P., Vilpponen, H., Papadimitriou, P.D.: `Channel estimation and signal detection for multi-carrier CDMA systems with pulse-shaping filter', Proc. IEEE Int. Conf. on Communications, May 2003, Anchorage, Alaska, USA, p. 3457–3461.
    11. 11)
      • Medles, A., Slock, D.T.M.: `Semiblind channel estimation for MIMO spatial multiplexing systems', Proc. IEEE Vehicular Technology Conf., October 2001, Atlantic City, NJ, USA, p. 1240–1244.
    12. 12)
    13. 13)
      • Wan, F., Zhu, W.-P., Swamy, M.N.S.: `Linear prediction based semi-blind channel estimation for MIMO-OFDM system', Proc. IEEE Int. Symp. on Circuits and Systems (ISCAS), May 2007, New Orleans, LA, USA, p. 3239–3242.
    14. 14)
      • Hao, M.J., Lai, C.: `Pulse shaping based PAPR reduction for OFDM signals with minimum error probability', Proc. IEEE Int. Conf. on Intelligent Signal Processing and Communications Systems, December 2008, Bangkok, Thailand, p. 1–4.
    15. 15)
      • Y. Zeng , W.H. Lam , T.S. Ng . Semiblind channel estimation and equalization for MIMO space-time coded OFDM. IEEE Trans. Circuits Syst. I, Reg. Papers , 2 , 463 - 474
    16. 16)
      • Y.S. Chen . Semiblind channel estimation for MIMO single carrier with frequency-domain equalization systems. IEEE Trans. Veh. Technol. , 1 , 53 - 62
    17. 17)
      • Russell, J., Xiang, W.: `Pulse shaping in MIMO COFDM over Rayleigh fading channels', Proc. Int. Conf. on Wireless and Mobile Communications, August 2009, Cannes/La Bocca, French Riviera, France, p. 174–178.
    18. 18)
    19. 19)
      • Mongol, B., Yamazato, T., Katayama, M.: `Channel estimation and tracking schemes for the pulse-shaping OFDM systems', Proc. IEEE Int. Conf. on Communications, June 2009, Dresden, Germany, p. 1–5.
    20. 20)
      • H. Bolcskei , P. Duhamel , R. Hleiss . A subspace-based approach to blind channel identification in pulse shaping OFDM/OQAM systems. IEEE Trans. Signal Process. , 7 , 1594 - 1598
    21. 21)
      • A.A. D'Amico , U. Mengali , L. Taponecco . Energy-based TOA estimation. IEEE Trans. Wirel. Commun. , 3 , 838 - 847
    22. 22)
    23. 23)
    24. 24)
      • Zhu, W.P., Ahmad, M.O., Swamy, M.N.S.: `ASIC implementation architecture for pulse shaping FIR filters in 3G mobile communications', Proc. IEEE Int. Symp. on Circuits and Systems, May 2002, Scottsdale, Arizona, USA, p. 433–436.
    25. 25)
      • H. Miao , M.J. Juntti . Space–time channel estimation and performance analysis for wireless MIMO-OFDM systems with spatial correlation. IEEE Trans. Veh. Technol. , 6 , 2003 - 2016
    26. 26)
    27. 27)
    28. 28)
      • J.G. Andrews , A. Ghosh , R. Muhamed . (2007) Fundamentals of WiMAX - understanding broadband wireless networking.
    29. 29)
      • W.P. Zhu , Y. Yan , M.O. Ahmad , M.N.S. Swamy . A feedforward symbol timing recovery technique using two samples per symbol. IEEE Trans. Circuits Syst. I, Reg. Papers , 11 , 2490 - 2500
    30. 30)
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