Skip to main content
SpringerLink
Log in

Blind Sequential Monte Carlo Joint Tracking of Channel State and Frequency Offset in OFDM Systems

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Orthogonal frequency division multiplexing (OFDM) is a multi-carrier modulation scheme, which has been adopted for several wireless standards. In order to fully exploit the benefits of an OFDM system, estimation of the channel state information must be performed. Moreover a well-known problem of OFDM is its sensitivity to frequency offset between the transmitted and received carrier frequencies. This frequency offset introduces inter-carrier interference in the OFDM signal. In this paper we address the problem of jointly tracking the channel and frequency offset based on a Sequential Monte Carlo filtering approach. The proposed algorithm works in a decision-directed way, thus does not require the use of pilot symbols, providing a worth-mentioned increase in the useful data rate. Through simulations we demonstrate the efficiency of this approach against a similar approach where the Extended Kalman Filter is used. Moreover our method is compared with two recently proposed pilot-based methods.

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. Bhatia V., Mulgrew B., Falconer D. D. (2007) Non-parametric maximum-likelihood channel estimator and detector for OFDM in presence of interference. IET Communications 1(4): 647–654

    Article  Google Scholar 

  2. Colieri, S., Ergen, M., Puri, A., & Bahai, A. (2002). A study of channel estimation in OFDM systems. In Proceedings of IEEE 56th vehicular technology conference (vol. 2, pp. 894–898), Canada: Vancouver BC, September 2002.

  3. Cui T., Tellambura C. (2007) Joint frequency offset and channel estimation for OFDM systems using pilot symbols and virtual carriers. IEEE Transactions on Wireless Communications 6(4): 1193–1202

    Article  Google Scholar 

  4. Enescu, A. & Koivunen, V. (2002). On the estimation of state matrix and noise statistics in state–space models. In Proceedings of IEEE 56th vehicular technology conference (vol. 4. pp. 2192–2196), Canada: Vancouver BC, September, 2002.

  5. Enescu M., Roman T., Koivunen V. (2007) State–space approach to spatially correlated MIMO OFDM channel estimation. Signal Processing 87(9): 2272–2279

    Article  MATH  Google Scholar 

  6. Jeon H.-G., Serpedin E. (2008) A novel simplified tracking method for MIMO-OFDM systems with null sub-carriers. Signal Processing 88(4): 1002–1016

    Article  MATH  Google Scholar 

  7. Lin D. D., Pacheco R. A., Lim T. J., Hatzinakos D. (2006) Joint estimation of channel response, frequency offset and phase noise in OFDM. IEEE Transactions on Signal Processing 54(9): 3542–3554

    Article  Google Scholar 

  8. Ma, X., Giannakis, G. B., & Barbarossa, S. (2001). Non-data-aided frequency offset and channel estimation in OFDM and related block transmissions. In IEEE international conference on communications, (vol. 6. pp. 1866–1870), Finland: Helsinki, June 2001.

  9. Mo R., Chew Y. H., Tjhung T. T., Ko C. C. (2007) New blind frequency offset estimator for OFDM systems over frequency selective fading channels. Signal Processing 87(1): 148–161

    Article  MATH  Google Scholar 

  10. Palamides A., Maras A. (2007) A Bayesian state space approach to combat intercarrier interference in OFDM systems. IEEE Signal Processing Letters 14(10): 677–679

    Article  Google Scholar 

  11. Roman, T., Enescu, M., & Koivunen, V. (2003). Joint time-domain tracking of channel and frequency offset for OFDM systems. In Proceedings of 4th IEEE workshop on signal processing advances in Rome, Italy: Wireless Communications, June 2003.

  12. Sanjeev Arulampalam M., Maskell S., Gordon N., Clapp T. (2002) A tutorial on particle filters for online nonlinear/non-gaussian Bayesian tracking. IEEE Transactions on Signal Processing 50(2): 174–188

    Article  Google Scholar 

  13. Tureli U., Liu H., Zoltowski M. D. (2000) OFDM blind carrier offset estimation: ESPRIT. IEEE Transactions on Communications 48(9): 1459–1461

    Article  Google Scholar 

  14. Wang Z., Giannakis G. B. (2000) Wireless multicarrier communications. IEEE Signal Processing Magazine 17(3): 29–48

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electronic Computer Systems Engineering, Technological Educational Institute of Piraeus, 250 Thivon & Petrou Ralli, 12244, Aigaleo, Athens, Greece

    Alex P. Palamides

  2. Department of Telecommunications Science and Technology, University of Peloponnese, End of Karaiskaki st., 22100, Tripolis, Greece

    Andreas M. Maras

Authors
  1. Alex P. Palamides
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Andreas M. Maras
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Alex P. Palamides.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Palamides, A.P., Maras, A.M. Blind Sequential Monte Carlo Joint Tracking of Channel State and Frequency Offset in OFDM Systems. Wireless Pers Commun 55, 163–171 (2010). https://doi.org/10.1007/s11277-009-9793-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-009-9793-1

Keywords

Search

Navigation