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Reseach Article

Comparison of Channel Estimators for OFDM Channel Estimation

Published on September 2016 by Harjeet Singh, Savina Bansal
International Conference on Advances in Emerging Technology
Foundation of Computer Science USA
ICAET2016 - Number 7
September 2016
Authors: Harjeet Singh, Savina Bansal
5d1d7357-c31d-42fb-81cd-891cc6bc3adc

Harjeet Singh, Savina Bansal . Comparison of Channel Estimators for OFDM Channel Estimation. International Conference on Advances in Emerging Technology. ICAET2016, 7 (September 2016), 41-44.

@article{
author = { Harjeet Singh, Savina Bansal },
title = { Comparison of Channel Estimators for OFDM Channel Estimation },
journal = { International Conference on Advances in Emerging Technology },
issue_date = { September 2016 },
volume = { ICAET2016 },
number = { 7 },
month = { September },
year = { 2016 },
issn = 0975-8887,
pages = { 41-44 },
numpages = 4,
url = { /proceedings/icaet2016/number7/25923-t118/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advances in Emerging Technology
%A Harjeet Singh
%A Savina Bansal
%T Comparison of Channel Estimators for OFDM Channel Estimation
%J International Conference on Advances in Emerging Technology
%@ 0975-8887
%V ICAET2016
%N 7
%P 41-44
%D 2016
%I International Journal of Computer Applications
Abstract

Channel estimation is a challenging problem for the wireless communication to recover original data. Various estimation approaches have been discussed in literature to get a better estimation. In this work pilot assisted channel estimation techniques are considered to obtain accurate channel state information (CSI) and compared least square (LS) and Linear Minimum Mean Square Estimator (LMMSE) estimation technique for Doppler shift. Simulation results shown that both estimation techniques, performed same at higher Doppler frequencies.

References
  1. Auer G and Karipidis E. . 2005, "Pilot aided channel estimation for OFDM: a separated approach for smoothing and interpolation", IEEE International Conference on Communications, vol. 4, pp 2173-2178.
  2. Ribeiro C and Gameiro A. 2008, "An OFDM symbol design for reduced complexity MMSE channel estimation", Journal of Communications, vol. 3, no. 4
  3. Caire G and Shamai S. 2003, "On the achievable throughput of a Multiantenna Gaussian broadcast channel," IEEE Transaction Information Theory, vol. 49, no. 7, pp. 1691–1706.
  4. Miao H and Juntti M. 2005, "Space-time channel estimation and performance analysis for wireless MIMO-OFDM systems with spatial correlation," IEEE Transaction Vehicular Technology, vol. 54, no. 6, pp. 2003–2016.
  5. He X, Song R and Zhu W P. 2013, "Pilot Allocation for Sparse Channel Estimation in MIMO-OFDM Systems", IEEE transactions on circuits and systems-II: express briefs, vol. 60, no. 9.
  6. Geoffrey Ye Li. 2000, "Pilot-symbol-aided Channel Estimation for OFDM in Wireless Systems", IEEE Transactions on Vehicular Technology, , Vol 49 No 4, pp. 1207 – 1215.
  7. P. Hoeher, S. Kaiser, P. Robertson. 1997, "Two-dimensional Pilot-Symbol-Aided Channel Estimation by Wiener Filtering", Acoustics, Speech, and Signal Processing, ICASSP-97, IEEE International Conference, Vol. 3, pp. 1845-1848.
  8. Van de Beek, J. -J. Edfors, O. Sandell, M. Wilson, S. K. Borjesson. 1995, "On Channel Estimation in OFDM Systems", Vehicular Technology Conference,IEEE 45th, Vol. 2, pp. 815-819.
  9. Baoguo Yang, Zhigang Cao, K. B. Letaief. 2001, "Analysis of low-complexity windowed DFT-based MMSE channel estimator for OFDM systems", IEEE Transactions on Communications, Vol. 49, No. 11, pp. 1977 – 1987
  10. Oh J H and Lim J T. 2013, Pilot-Assisted Carrier Frequency Offset Estimation for OFDM systems with Multiple Preambles Over Fast Fading Channels, Wireless Pers Communication, Springer Science + Business Media, New York, 72: pp 2295–2303.
Index Terms

Computer Science
Information Sciences

Keywords

Csi Mimo Ofdm Wman Wlan Mmse