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Reseach Article

Kalman Filtering based Channel Estimation for MIMO-OFDM

by Ashish Kr. Gupta, Mukesh Pathela, Arun Kumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 53 - Number 15
Year of Publication: 2012
Authors: Ashish Kr. Gupta, Mukesh Pathela, Arun Kumar
10.5120/8495-2443

Ashish Kr. Gupta, Mukesh Pathela, Arun Kumar . Kalman Filtering based Channel Estimation for MIMO-OFDM. International Journal of Computer Applications. 53, 15 ( September 2012), 8-12. DOI=10.5120/8495-2443

@article{ 10.5120/8495-2443,
author = { Ashish Kr. Gupta, Mukesh Pathela, Arun Kumar },
title = { Kalman Filtering based Channel Estimation for MIMO-OFDM },
journal = { International Journal of Computer Applications },
issue_date = { September 2012 },
volume = { 53 },
number = { 15 },
month = { September },
year = { 2012 },
issn = { 0975-8887 },
pages = { 8-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume53/number15/8495-2443/ },
doi = { 10.5120/8495-2443 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:54:09.371636+05:30
%A Ashish Kr. Gupta
%A Mukesh Pathela
%A Arun Kumar
%T Kalman Filtering based Channel Estimation for MIMO-OFDM
%J International Journal of Computer Applications
%@ 0975-8887
%V 53
%N 15
%P 8-12
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, Kalman filtering is used for MIMO-OFDM channel estimation. First we uses the MIMO-OFDM Training sequences, the current channel response at the receiving end, and then use the Kalman filter method to estimate the channel response. The measure and tracking, using the Jakes channel transmission model. Through simulation can be seen, and compared to other channel estimation method proposed in this paper. Method can fast-track the time-varying channel where the channel response changes very quickly. At the same time, without excessive insertion of training sequences and pilot symbols, the performance of more greatly improved.

References
  1. S. Yatawatta and A. P. Petropulu, Blind channel estimation in mimo-ofdm systems with multiuser interference, Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on] 54 (2006), no. 3, 1054-1068.
  2. C. Shin, W. Robert Jr and E. J. Powers, Blind channel estimation for mimo-ofdm systems, Vehicular Technology, IEEE Transactions on 56 (2007), no. 2, 670-685.
  3. C. Shin and E. J. Powers, Blind channel estimation for mimo-ofdm systems using virtual carriers, 2004, p. ^pp. 2465-2469 Vol. 2464.
  4. C. Gao, Z. Ming, Z. Shidong and Y. Yan, Blind channel estimation algorithm for mimo-ofdm systems, Electronics letters 39 (2003), no. 19, 1420-1422.
  5. B. Wei, H. Chen, J. Ling-ge and Z. Hong-wen, Blind channel estimation in mimo-ofdm systems, 2002, p. ^pp. 317-321 vol. 311.
  6. C. Xi, A. R. Leyman and F. Jun, Blind channel estimation for linearly precoded mimo-ofdm, 2006, p. ^pp. IV-381-IV-384.
  7. H. A. C. Habib Senol, Erdal Panayirci, Pilot-aided bayesian mmse channel estimation for ofdm systems: Algorithm and performance analysis, (2004).
  8. W. Lidong and L. Dongmin, A pilot embedded scheme for doublyselective mimo-ofdm channel estimation, 2006, p. ^pp. 1-5.
  9. J. Wang and K. Araki, Pilot-symbol aided channel estimation in spatially correlated multiuser mimo-ofdm channels, 2004, p. ^pp. 33-37 Vol. 31.
  10. K. Y. Han, S. W. Lee, J. S. Lim and K. M. Sung, Channel estimation for ofdm with fast fading channels by modified kalman filter, Consumer Electronics, IEEE Transactions on 50 (2004), no. 2, 443-449.
  11. Branka Vucetic, Jinhong Yuan, Space-Time Coding, John Wiley 2003.
  12. Zhou Jian, Channel Estimation for MIMO-OFDM System, Journal of Nanjing University of Posts and Telecommunications (Natural Science),26(2006),No. 5, 11 16.
  13. ITU-R, Recommendation itr-r m. 1225 guidelines for evaluation of radio transmission technologies for imt-2000. Radio transmission technologies for imt-2000.
Index Terms

Computer Science
Information Sciences

Keywords

MIMO-OFDM Kalman Filtering Jakes Model AR process Channel Estimation