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

Performance Analysis of MIMO OFDM System by using LS and MMSE Techniques

by Deepika Jharbade, Madhvi Jangalwa
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 75 - Number 15
Year of Publication: 2013
Authors: Deepika Jharbade, Madhvi Jangalwa
10.5120/13185-0770

Deepika Jharbade, Madhvi Jangalwa . Performance Analysis of MIMO OFDM System by using LS and MMSE Techniques. International Journal of Computer Applications. 75, 15 ( August 2013), 11-16. DOI=10.5120/13185-0770

@article{ 10.5120/13185-0770,
author = { Deepika Jharbade, Madhvi Jangalwa },
title = { Performance Analysis of MIMO OFDM System by using LS and MMSE Techniques },
journal = { International Journal of Computer Applications },
issue_date = { August 2013 },
volume = { 75 },
number = { 15 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = { 11-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume75/number15/13185-0770/ },
doi = { 10.5120/13185-0770 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:44:19.967061+05:30
%A Deepika Jharbade
%A Madhvi Jangalwa
%T Performance Analysis of MIMO OFDM System by using LS and MMSE Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 75
%N 15
%P 11-16
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In today's world, high speed is an important factor to be considered in wireless communication systems. This is because high speed is required for access of video, images, and many others multimedia application. One way to achieve high data rate is OFDM. Orthogonal Frequency Division Multiplexing (OFDM) is a technique which transmitted data parallel and this data are orthogonal to each other, hence result high data rate in wireless transmission as large no. of data is transmitted at same time. Another way is MIMO system. To increase the diversity gain or to enhance the system capacity on time-variant and frequency-selective channels, OFDM may be combining with multiple transmitter antenna and receiver antenna, this resulting MIMO OFDM system. MIMO-OFDM, a new wireless 4G technologies, has capability of enhance data rate transmission and robustness against multi-path fading. In this paper, two techniques Least Square (LS) and Minimum Mean Square Error (MMSE) are used to analysis the performance of MIMO OFDM System also used to reduce BER.

References
  1. Wang, Xiaodang, ?OFDM and its application to 4G?, 14th annual conference on wireless and optical communications, USA, pp. 69-71, 2005.
  2. L. J cimini, ?Analysis and simulation of digital mobile channel using OFDM", IEEE trans. Comm. . vol 33, no. 7, pp 665-675 june 1980.
  3. H. Boelcskie & D. Gesbert & A. J Paulraj, ?ON the capacity of OFDM based Spatial multiplexing System", IEEE trans. Comm. . vol. 50 no. 2, pp 225-234, Feb 2002.
  4. O. Edfors, M. Sandell, J. -J. van de Beek, S. K. Wilson, and P. O. Borjesson, ?OFDM channel estimation by singular value decomposition?, IEEE Trans. Commun. , 46(7), pp- 931-939, July 1998.
  5. Z. Guo and W. Zhu. 2-D, ? channel estimation for OFDM/SDMA?, In Proc. IEEE World Wireless Congress, San Francisco, CA, May 2002.
  6. J. Xuehua, C. Peijiang, "Study and Implementation of MIMO OFDM System Based on Matlab", International Conference on Information Technology and Computer Science, pp 554-557, 2009.
  7. G. L Studer J. R Barry, S. W. Mclaughlin,Ye Li,M. A. Ingram and T. G Pratt," Broadband MIMO-OFDM wireless communication", proceedings of IEEE, vol. 92, no. 2, pp 271-294,Feb 2004.
  8. A. Petropulu, R. Zhang, and R. Lin, "Blind OFDM channel estimation through simple linear pre-coding", IEEE Transactions on Wireless Communications, vol. 3, no. 2,March 2004, pp. 647-655.
  9. A. Zaier1 and R. Bouallègue "Blind channel estimation enhancement for mimo- ofdm systems under high mobility conditions " International Journal of Wireless & Mobile Networks(IJWMN) Vol. 4, No. 1, February 2012.
  10. O. Simeone, Y. Bar-Ness, U. Spagnolini, "Pilot Based Channel Estimation for OFDM SystemsbyTrackingthe Delay Subspace", IEEE Transactions on Wireless Communications, Vol. 3, No. 1, January 2004.
  11. A. K. Jagannatham, C. R. Murthy and B. D. Rao? A semi-blind MIMO channel estimation scheme for MRT"IEEE, pp 585 -588, 2005
  12. H. Minn, Member, IEEE and N. Al-Dhahir, Senior Member, IEEE, ?Optimal Training Signals for MIMO OFDM Channel Estimation", pp 1-10, 2004.
  13. K. P. Bagadi, Prof. Susmita Das, ? MIMO-OFDM Channel Estimation using Pilot Carries", International Journal of Computer Applications (0975 – 8887) Vol. 2 – No. 3,pp 81-88, May 2010.
  14. D Hu, L Yang, L He, Y Shi, ? Optimal pilot sequence design for Multiple Input Multiple Output OFDM systems?, IEEE Global Telecom Conference (GLOBECOM'05), (Saint Louis, USA, 2005), pp. 2260–2264.
Index Terms

Computer Science
Information Sciences

Keywords

MIMO-OFDM system Diversity gain LS techniques MMSE techniques multipath fading.

Powered by PhDFocusTM