CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

MIMO-OFDM with Enhanced Channel Estimation based on DFT Interpolation

by Mahdi Abdul Hadi, Omar Almukhtar Tawfeeq
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 107 - Number 11
Year of Publication: 2014
Authors: Mahdi Abdul Hadi, Omar Almukhtar Tawfeeq
10.5120/18797-0247

Mahdi Abdul Hadi, Omar Almukhtar Tawfeeq . MIMO-OFDM with Enhanced Channel Estimation based on DFT Interpolation. International Journal of Computer Applications. 107, 11 ( December 2014), 30-34. DOI=10.5120/18797-0247

@article{ 10.5120/18797-0247,
author = { Mahdi Abdul Hadi, Omar Almukhtar Tawfeeq },
title = { MIMO-OFDM with Enhanced Channel Estimation based on DFT Interpolation },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 107 },
number = { 11 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 30-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume107/number11/18797-0247/ },
doi = { 10.5120/18797-0247 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:40:49.224237+05:30
%A Mahdi Abdul Hadi
%A Omar Almukhtar Tawfeeq
%T MIMO-OFDM with Enhanced Channel Estimation based on DFT Interpolation
%J International Journal of Computer Applications
%@ 0975-8887
%V 107
%N 11
%P 30-34
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In practical wireless communication systems, the transmitter send the information out through a multipath fading channel. At the receiver side, the received information distorted by the channel characteristic (due to multipath fading). So, in order to recover the transmitted information accurately, the channel effect must be known at the receiver. In this paper channel estimation for STBC-MIMO-OFDM system has been investigated by implementing the most popular channel estimators least Square (LS) and Minimum Mean Error Square (MMSE) both based on comb type pilot arrangement to estimate the channel effect at pilot locations, and channel interpolation between pilot locations was done using linear interpolation. The performance of LS and MMSE estimators can be improved by using DFT-based estimation technique. LS and MMSE estimator have been implemented with and without DFT-based estimation technique to estimate the channel effect for STBC-MIMO-OFDM system and compare their performance by measuring the bit error rate BER with QAM as modulation scheme and for different MIMO antenna configurations, also the channel between each antenna pair is assumed to be multipath Rayleigh Slow fading channel based on Clark's model.

References
  1. Rashmi Mishra, Baibaswata Mohapatra "PERFORMANCE EVALUATION OF OFDM SYSTEM" International Journal of Engineering and Advanced Technology (IJEAT), ISSN: 2249 – 8958, Volume-1, Issue-3, February 2012 F
  2. Lakshmi Prasanna. P, G. Rama Krishna , "DIVERSITY analysis in MIMO systems using OSTBC(Orthogonal Space Time Block Codes," International Journal of Emerging Technology and Advanced Engineering, ISSN 2250-2459, Volume 2, Issue 9, September 2012
  3. Angel Lozano, Senior Member, IEEE, and Nihar Jindal, "Transmit Diversity vs. Spatial Multiplexing in Modern MIMO Systems," IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 9, NO. 1, JANUARY 2010F
  4. Quan Zhou, Hongyuan Zhang, Huaiyu Dai, "Adaptive Spatial Multiplexing Techniques for Distributed MIMO Systems," __2004 Conference on Information Sciences and Systems. The Princeton University. March 17-19. 2004F
  5. Marcello Cicerone, Osvaldo Simeone, Umberto Spagnolini, "Channel Estimation for MIMO-OFDM Systems by Modal Analysis/Filtering," IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 54, NO. 11, NOVEMBER 2006F
  6. Lilong Liu, Xuelin Yang, Jun Li ; Meihua Bi, Hao He, Weisheng Hu, "Experimental evaluation of pilot arrangement for channel estimation in OFDM systems," IEEE Communications and Photonics Conference and Exhibition, 2011. ACP. Asia, Page(s): 1 – 6F
  7. Alamounti, S. M. (1998) A simple transmit diversity scheme for wireless communications. IEEE J. Select. Areas Commun. , 16(8), 1451–1458
  8. S. M. Alamouti, "A simple transmit diversity technique for wireless communications," IEEE Journal on Selected Areas in Communications, vol. 16, pp. 1451-1458, 1998.
  9. F. Delestre, Y. Sun, "Pilot Aided Channel Estimation for MIMO-OFDM Systems," London Communications Symposium 2009H
  10. Kala Praveen Bagadi, Susmita Das. "MIMO-OFDM Channel Estimation using Pilot Carries," International Journal of Computer Applications (0975 – 8887) Volume 2 – No. 3, May 2010 G
  11. Yong Soo Cho, Jaekwon Kim, Won Young Yang, Chung G. Kang . (2010). MIMO-OFDM Wireless Communications with MATLAB. Asia: John Wiley & Sons Pte Ltd.
  12. ] Xu Yan , Lin Ying, "Research of OFDM systems channel estimation based on DFT improved algorithm," IEEE 4th International Conference on Computer Science & Education, 2009. ICCSE '09. Page(s) 250-253.
  13. Mahdi Abdul Hadi, Omar Almukhtar Tawfeeq. "Channel Estimation Enhancement in OFDM System based on Time Domain interpolation," International Journal of Computer Applications (0975 – 8887) Volume 97– No. 11, 2014
Index Terms

Computer Science
Information Sciences

Keywords

MIMO-OFDM MMSE Inter-symbol-Interference (ISI) Channel estimation DFT interpolation.

Powered by PhDFocusTM