Skip to main content

An Improved Blind Channel Estimation Based on Subspace Approach for OFDM Systems Under Fast Time Varying Conditions

  • Conference paper
  • First Online:
Computer Networks & Communications (NetCom)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 131))

  • 1714 Accesses

Abstract

In this paper, an improved channel estimation scheme is proposed for fast time varying channel in an OFDM context. This scheme is based on a subspace approach for blindly identifying the OFDM frequency selective channel and it will be shown from simulations that this approach is preferable than the other methods based on the training sequences which are expensive in term of channel efficiency and capacity. So, in this article and based on the simulations results, we will try to show the great effect of this approach when added in the system model in term of bit error rate BER and mean square error MSE versus the signal to noise ratio SNR.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 299.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 379.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 379.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Chotikakamthorn N, Suzuki H (1999) On Identifiability of OFDM Blind Channel Estimation, 0–7803-5435-4/99/ 1999 IEEE

    Google Scholar 

  2. Bahai ARS, Saltzberg BR (1999) Multi-carrier digital communications: theory and applications of OFDM. Kluwer Academic/Plenum

    Google Scholar 

  3. Doukopoulos XG, Moustakides GV (2006) Blind adaptive channel estimation in OFDM systems. IEEE Trans Wirel Commun 5(7):1716–1725

    Article  Google Scholar 

  4. Heath RW, Giannakis GB (1999) Exploiting input cyclostationary for blind channel identification in OFDM systems. IEEE l”s. Signal Process 47(3):848–856

    Article  Google Scholar 

  5. Cai X, Akansu AN (2000) A subspace method for blind channel identification in OFDM systems, 0–7803-6283-7/00/ 0 2000 IEEE

    Google Scholar 

  6. Zaier A, Bouallegue R (2011) A full performance analysis of channel estimation methods for time VARYING OFDM systems, STA Conference 2011

    Google Scholar 

  7. van de Beek J-J, Sandell M, Borjesson P0, (1997) ML estimation of time and frequency offset in OFDM systems. IEEE Trans Signal Process 45:1800–1805

    Google Scholar 

  8. Cioffi JM (1991) “A multicarrier primer”, Amatio Communications Corporation and Stanford University

    Google Scholar 

  9. Necker MC (2004) Stuber GL Totally Blind Channel Estimation for OFDM on Fast Varying Mobile Radio Channels

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zaier Aida .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer Science+Business Media New York

About this paper

Cite this paper

Aida, Z., Bouallegue, R. (2013). An Improved Blind Channel Estimation Based on Subspace Approach for OFDM Systems Under Fast Time Varying Conditions. In: Chaki, N., Meghanathan, N., Nagamalai, D. (eds) Computer Networks & Communications (NetCom). Lecture Notes in Electrical Engineering, vol 131. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6154-8_31

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-6154-8_31

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-6153-1

  • Online ISBN: 978-1-4614-6154-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics