CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Performance comparison of Different Pilot Aided Channel Estimation Techniques for OFDM IEEE 802.11e (Mobile Wimax) Systems

by Rajeshwar Singh, Gurpreet Singh Saini
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 68 - Number 17
Year of Publication: 2013
Authors: Rajeshwar Singh, Gurpreet Singh Saini
10.5120/11675-7307

Rajeshwar Singh, Gurpreet Singh Saini . Performance comparison of Different Pilot Aided Channel Estimation Techniques for OFDM IEEE 802.11e (Mobile Wimax) Systems. International Journal of Computer Applications. 68, 17 ( April 2013), 42-49. DOI=10.5120/11675-7307

@article{ 10.5120/11675-7307,
author = { Rajeshwar Singh, Gurpreet Singh Saini },
title = { Performance comparison of Different Pilot Aided Channel Estimation Techniques for OFDM IEEE 802.11e (Mobile Wimax) Systems },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 68 },
number = { 17 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 42-49 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume68/number17/11675-7307/ },
doi = { 10.5120/11675-7307 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:28:09.945456+05:30
%A Rajeshwar Singh
%A Gurpreet Singh Saini
%T Performance comparison of Different Pilot Aided Channel Estimation Techniques for OFDM IEEE 802.11e (Mobile Wimax) Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 68
%N 17
%P 42-49
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Orthogonal frequency-division multiplexing (OFDM) modulation is a promising technique for achieving the high bit rates required for a wireless multimedia service. In this paper we present differentchannel estimation algorithms for OFDM mobile communication systems based on the use of pilot subcarriers. Specifically we present LS (Least Square),MMSE(Minimum Mean Square Error) and LMS iterative channel estimation techniques to show the performance comparison of channel estimation techniques supported by n IFFT-based time channel estimation. The channel estimation is based on the principle of pilot-symbol aided channel estimation (PACE), and it has been implemented using block-type pilot subcarrier arrangements. The low complexity of LMS algorithm, has a higher efficiency than conventional methods(without channel estimation,LS& LMMSE ) and it can work in lower amount of SNRs. We have compared the performances of all schemes by measuring bit error rate with 16QAM as modulation scheme, and multi-path Rayleigh fading channel as channel model. Simulation results validate that the LMS Iterative channel estimation scheme can achieve tremendous performance as the existing channel estimation methods.

References
  1. IEEE Part II: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications: High-Speed Physical Layer in 5 GHz Band. IEEE Sts. 802. 11a-1999, 1999. .
  2. J. S. Chow, J. C. Tu, and J. M. Cioffi. A discrete multitone transceiver system for HDSL application. IEEE J. Select. AreasCommun. , 9:895–908, Aug. 1991.
  3. Z. Wang and G. B. Giannakis. Wireless multicarrier communications where Fourier meets Shannon. IEEE Signal ProcessingMagazine, pages 29–48, May 2000.
  4. P. Hoeher, S. Kaiser and I. Robertson, "Two di mensional pilot-symbol-aided channel estimation by WienerFiltering,"inProc. IEEEICASSP'97, pp. 1845–1848, April 1997.
  5. Coleri, S. , Ergen, M. , Puri, A. , and Bahai, A. , "Channel Estimation Techniques Based on Pilot Arrangement in OFDM Systems," IEEE Transactions on Broadcasting, vol. 48, pp. 223–229, Sept. 2002.
  6. Y e. Li, "Pilot-symbol-aided channel estimation for OFDM in wireless systems," IEEE Trans. Veh. Technol. , vol. 49, no. 4, pp. 1207-1215, 2000
  7. Ottersten, B. , Viberg, M. , and Kailath, T. , "Performance Analysis of the Total Least Squares ESPRIT Algorithm," IEEE Transactions on Signal Processing, vol. 39, pp. 1122–1135, May 1991.
  8. Hou, X. , Li, S. , Liu, D. , Yin, C. , and Yue, G. , "On Two-dimensional Adaptive Channel Estimation in OFDM Systems," 60th I9EEE Vehicular Technology Conference, Los Angeles, Ca. , vol. 1, pp. 498–502, Sept. 2004.
  9. Sanzi, F. , Sven, J. , and Speidel, J. , "A Comparative Study of Iterative Channel Estimators for Mobile OFDM Systems," IEEE Transactions on Wireless Communications, vol. 2, pp. 849–859, Sept. 2003.
  10. Li, Y. , "Simplified Channel Estimation for OFDM Systems with Multiple Transmit Antennas," IEEE Transactions on Communications, vol. 1, pp. 67-75, January 2002.
  11. J. J. van de Beek, O. Edfors, M. Sandell, S. K. Wilson, and P. O. Börjesson, "On channel estimation in OFDM systems," in Proc. IEEE Vehicular Technology Conf. , vol. 2, Chicago, IL, July 1995, pp. 815–819.
  12. Coleri, S. , Ergen, M. , Puri, A. , and Bahai, A. , "Channel Estimation Techniques Based on Pilot Arrangement in OFDM Systems," IEEE Transactions on Broadcasting, vol. 48, pp. 223–229, Sept. 2002.
  13. Louis L. Scharf, Statistical Signal Processzng, Addison-Wesley, 1991
  14. Chen, J. , C. Chiang and L. Lo, 2007. Iterative Channel Estimation for MIMO OFDM Systems. Proceeding of the International Symposium on Intelligent Signal Processing and Communication Systems, Nov. 28-Dec. 1, IEEE Xplore Press, Xiamen, pp: 774-777. DOI: 10. 1109/ISPACS. 2007. 4446002.
  15. Qiao, Y. , S. Yu, P. Su and L. Zhang, 2005. Research on an iterative algorithm of LS channel estimation in MIMO OFDM systems. IEEE Trans. Broadcast. ,51: 149-153. DOI: 10. 1109/TBC. 2004. 842524
Index Terms

Computer Science
Information Sciences

Keywords

Channel estimation(CE) OFDM(Orthogonal Frequency Division Multiplexing) QAM(Qadrature Amplitude Modulation)

Powered by PhDFocusTM