Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

High mobility orthogonal frequency division multiple access channel estimation using basis expansion model

High mobility orthogonal frequency division multiple access channel estimation using basis expansion model

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Communications — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Owing to the loss of subcarrier orthogonalities in high-speed applications, the use of conventional frequency-domain-based channel estimation in high mobility orthogonal frequency division multiple access (OFDMA) systems such as mobile WiMax may give rise to an unacceptable high channel estimation error floor. To alleviate this problem, the authors develop some basis expansion model (BEM)-based estimation schemes for the OFDMA uplink. Specifically, the authors express the time-varying channel as a superposition of a small number of complex exponential basis functions spanning the entire Doppler range, and then formulate least square (LS) and linear minimum mean square error (LMMSE) algorithms to estimate the basis coefficients for two different types of pilot patterns. The authors also derive the respective Cramer–Rao lower bounds for these estimators. It has been shown that the time domain BEM using a pilot scheme where pilots are placed over time axis will give better performance under a high Doppler scenario. Lastly, using simulation results, the proposed algorithms have been found to have better estimation accuracy over current frequency domain estimation techniques. This is in addition to the advantage that the proposed algorithms have in general a lower computational complexity.

References

    1. 1)
      • S.M. Kay . (1993) Fundamentals of statistical signal processing: estimation theory.
    2. 2)
      • A.O. Hero , J.A. Fessler , M. Usman . Exploring estimator bias-variance tradeoffs using the uniform CR bound. IEEE Trans. Signal Process. , 8 , 2026 - 2041
    3. 3)
      • H. Liu , G.Q. Li . (2005) OFDM-based broadband wireless networks: design and optimization.
    4. 4)
      • W.C. Jakes . (1994) Microwave mobile communication.
    5. 5)
    6. 6)
      • Carvalho, E., Slock, D.: `Cramer–Rao bounds for semi-blind, blind and training sequence based channel estimation', Proc. IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, April 1997, p. 129–132.
    7. 7)
      • H.K. Lau , S.W. Cheung . A pilot symbol-aided technique used for digital signals in multipath environments. Proc. IEEE Int. Conf. on Communications , 1126 - 1130
    8. 8)
      • J.G. Proakis . (1995) Digital communications.
    9. 9)
      • Sezgin, A., Jung, P., Halbauer, H.: `On the impact of mobility on the channel estimation in WiMAX OFDMA-uplink', Conf. Proc. IEEE PIMRC 2006, September 2006, p. 1–5.
    10. 10)
      • J.-C. Lin . Channel estimation assisted by postfixed pseudo-noise sequences padded with zero samples for mobile orthogonal-frequency division-multiplexing communications. IET Commun. , 3 , 561 - 570
    11. 11)
      • Cui, T., Tellambura, C., Wu, Y.: `Low-complexity pilot-aided channel estimation for OFDM systems over doubly-selective channels', Proc. IEEE ICC, 2005, 3, p. 1980–1984.
    12. 12)
    13. 13)
      • J.D. Gorman , A.O. Hero . Lower bounds for parametric estimation with constraints. IEEE Trans. Inf. Theory , 6 , 1285 - 1301
    14. 14)
    15. 15)
      • IEEE 802.16e-2005 Part 16: ‘Air interface for fixed and mobile broadband wireless access systems amendment for physical and medium access control layers for combines fixed and mobile operation in licensed bands’.
    16. 16)
      • Y. Ma , R. Tafazolli . Channel estimation for OFDMA uplink: a hybrid of linear and BEM interpolation approach. IEEE Trans. Signal Process. , 4 , 1568 - 1573
    17. 17)
      • I. Barhumi , G. Leus , M. Moonen . Time-varying FIR equalization for doubly selective channels. IEEE Trans. Wirel. Commun. , 1 , 202 - 214
    18. 18)
    19. 19)
    20. 20)
      • C.Y. Wong , R.S. Cheng , K.B. Letaif , R.D. Murch . Multiuser OFDM with adaptive subcarrier, bit and power allocation. IEEE J. Sel. Areas Commun. , 10 , 1747 - 1758
    21. 21)
      • J. Jhang , X. Mu , E. Chen , S. Yang . Decision-directed channel estimation based on iterative linear minimum mean square error for orthogonal frequency division multiplexing systems. IET Commun. , 7 , 1136 - 1143
    22. 22)
    23. 23)
    24. 24)
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-com.2009.0343
Loading

Related content

content/journals/10.1049/iet-com.2009.0343
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address