Skip to main content
SpringerLink
Log in

Parameter Estimation for Correlated MIMO Channels with Frequency-Selective Fading

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

In this paper, we address the problem of frequency offset and channel gain estimation for frequency-selective multi-input multi-output (MIMO) correlated fading channels. A maximum-likelihood (ML) frequency offset (FO) estimator is proposed by using the Bayesian approach. We show that the proposed FO estimator is efficient and asymptotically optimal. Based on the FO estimate, we derive the linear minimum mean square error (LMMSE) channel estimator and analytically investigate the effect of frequency offset estimation error on the mean square error (MSE) performance of the channel estimator. Finally, the performances of the FO and channel estimation are evaluated by simulation results.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Foschini G.J., Gans M.J. (1998) On limits of wireless communications in a fading environment when using multiple antennas. Wireless Personal Communications 6(3): 311–335

    Article  Google Scholar 

  2. Chuah, C. N., & Foschini, G. J. (2000). Capacity growth of multi-element arrays in door and out-door wireless channels. In Proceedings of IEEE WCNC, Chicago, USA, September 2000, pp. 1340–1344.

  3. Tarokh V., Naguib A., Seshadri N. (1999) Combined array processing and space-time coding. IEEE Transactions on Information Theory 45(4): 1121–1128

    Article  MATH  MathSciNet  Google Scholar 

  4. Bolcskei H., Heath J.R.W., Paulraj A.J. (2002) Blind channel identification and equalization in OFDM-based multi-antenna systems. IEEE Transactions on Signal Processing 50(1): 96–109

    Article  Google Scholar 

  5. Zhou S., Muquet B., Giannakis G.B. (2002) Subspace-based blind channel estimation for block precoded space-time OFDM. IEEE Transactions on Signal Processing 50(5): 1215–1228

    Article  Google Scholar 

  6. Tong L., Sadler B., Dong M. (2004) Pilot-assisted wireless transmissions: General model, design criteria, and signal processing. IEEE Signal Processing Magazine 21(11): 12–25

    Article  Google Scholar 

  7. Hong D.K., Lee Y.J., Hong D. (2002) Robust frequency offset estimation for pilot symbol assisted packet CDMA with MIMO antenna systems. IEEE Communication Letters 6(6): 262–264

    Article  Google Scholar 

  8. Liu Z., Giannakis G.B., Hughes B. (2001) Double-differential space-time block coding for time-selective fading channels. IEEE Transactions on Communications 49(9): 1529–1539

    Article  MATH  Google Scholar 

  9. Besson O., Stoica P. (2003) On parameter estimation of MIMO flat-fading channels with frequency offsets. IEEE Transactions on Signal Processing 51(3): 602–613

    Article  MathSciNet  Google Scholar 

  10. Yao, Y., & Ng, T. (2003). Correlation-based frequency offset estimation in MIMO system. In Proceedings of IEEE VTC, Orlando, USA, October 2003, pp. 438–442.

  11. McKeown M.A., Cruickshank D.G.M., Lindsay I.A.B. (2003) Carrier frequency offset estimation in BLAST MIMO systems. IEE Electronics Letters 39(24): 1752–1753

    Article  Google Scholar 

  12. Simoens F., Moeneclaey M. (2006) Reduced complexity data-aided and code-aided frequency offset estimation for flat-fading MIMO channels. IEEE Transactions on Wireless Communications 5(6): 1558–1567

    Article  Google Scholar 

  13. Cui, T., & Tellambura, C. (2004). Joint channel and frequency offset estimation and training sequence design for MIMO systems over frequency selective channels. In Proceedings of IEEE Globecom, Dallas, USA, December 2004, pp. 2344–2348.

  14. Ghogho M., Swami A. (2006) Training design for multipath channel and frequency offset estimation in MIMO systems. IEEE Transactions on Signal Processing 54(10): 3957–3965

    Article  Google Scholar 

  15. Lu Z., Li J.D., Zhao L.J., Chen L. (2007) Design of the periodic training sequence for joint channel and frequency estimation in MIMO frequency-selective channels. Circuits Systems and Signal Processing 26(3): 379–392

    Article  MATH  MathSciNet  Google Scholar 

  16. Kotecha J.H., Sayeed A.M. (2004) Transmit signal design for optimal estimation of correlated MIMO channels. IEEE Transactions on Signal Processing 52(2): 546–557

    Article  MathSciNet  Google Scholar 

  17. Zhang H., Li Y., Terry J., Reid A. (2006) Optimum training symbol design for MIMO OFDM in correlated fading channels. IEEE Transactions on Wireless Communications 5(9): 2343–2347

    Article  Google Scholar 

  18. Pang, J. P., Li, J. D., Zhao, L. J., & Lu, Z. (2007). Optimal training sequences for MIMO channel estimation with spatial correlation. In Proceedings of IEEE VTC, Baltimore, USA, September 2007, pp. 651–655.

  19. Kay S.M. (1993) Fundamental of statistical signal processing: Estimation theory. Englewood Cliffs, NJ, Prentice-Hall

    Google Scholar 

  20. Xiao C., Wu J., Leong S.Y., Zheng Y.R. (2004) A discrete time model for triply selective MIMO rayleigh fading channels. IEEE Transactions on Wireless Communications 3(5): 1678–1688

    Article  Google Scholar 

  21. Intarapanich A., Kafle P.L., Davies R.J., Sesay A.B. (2004) Effect of tap gain correlation on capacity of OFDM MIMO systems. IEE Electronics Letters 40(1): 86–88

    Article  Google Scholar 

  22. Hebley M.G., Taylor D.P. (1998) The effect of diversity on a burst-mode carrier-frequency estimator in the frequency-selective multipath channel. IEEE Transactions on Communications 46(4): 553–560

    Article  Google Scholar 

  23. Zakharov Y.V., Baronkin V.M., Tozer T.C. (2001) DFT-based frequency estimators with narrow acquisition range. IEE Proceedings Communications 14(1): 1–7

    MATH  Google Scholar 

  24. Gershman A.B., Sidiropoulos N.D. (2005) Space-time processing for MIMO communications. Wiley, The Atrium Southern Gate, Chichester

    Book  Google Scholar 

  25. Rife D.C., Boorstyn R.R. (1974) Single-tone parameter estimation from discrete-time observation. IEEE Transactions on Information Theory 20(5): 591–598

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Broadband Wireless Communications Laboratory, Information Science Institute, State Key Laboratory of Integrated Service Networks, Xidian University, P.O. Box 102, Xi’an, 710071, China

    Wei Dong, Jiandong Li & Zhuo Lu

Authors
  1. Wei Dong
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jiandong Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Zhuo Lu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Wei Dong.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Dong, W., Li, J. & Lu, Z. Parameter Estimation for Correlated MIMO Channels with Frequency-Selective Fading. Wireless Pers Commun 52, 813–828 (2010). https://doi.org/10.1007/s11277-009-9664-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-009-9664-9

Keywords

Search

Navigation