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Comparison of Different Techniques to Design of Filter

by Shushank Dogra, Narinder Sharma
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 97 - Number 1
Year of Publication: 2014
Authors: Shushank Dogra, Narinder Sharma

Shushank Dogra, Narinder Sharma . Comparison of Different Techniques to Design of Filter. International Journal of Computer Applications. 97, 1 ( July 2014), 25-29. DOI=10.5120/16972-6823

@article{ 10.5120/16972-6823,
author = { Shushank Dogra, Narinder Sharma },
title = { Comparison of Different Techniques to Design of Filter },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 97 },
number = { 1 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 25-29 },
numpages = {9},
url = { },
doi = { 10.5120/16972-6823 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:22:59.637945+05:30
%A Shushank Dogra
%A Narinder Sharma
%T Comparison of Different Techniques to Design of Filter
%J International Journal of Computer Applications
%@ 0975-8887
%V 97
%N 1
%P 25-29
%D 2014
%I Foundation of Computer Science (FCS), NY, USA

MIMO-OFDM is one of the emerging communication schemes which provide efficient communication with multi-carrier modulation. MIMO technology uses spatial diversity technique by using multiple antennas at the transmitter and the receiver side. In MIMO systems, the data streams arriving from different path with different time are combined at the receiver side. OFDM is a modulation scheme that allows digital data to be efficiently and reliably transmitted over a radio channel even in multipath environments. The main idea of OFDM system is to modulate the input data symbol onto a group of subcarriers with predefined coefficients such that the generated ICI within the group will cancel each other. The major disadvantage of this approach is higher bit error rates. The channel estimation also plays an important role in MIMO-OFDM systems. There are number of channel estimation methods which have already been proposed for MIMO-OFDM systems. In the past years many techniques had been proposed to reduce bit error rate in MIMO-OFDM systems. In this paper, we are proposing the new technique to reduce bit error rate in MIMO-OFDM technology. The proposed technique is filtering technique under this technique we use KALMAN filter for reducing bit error rate. Using kalman filter, channel estimation is also done properly as compared with the true value.

  1. Theodore S. Rappaport, "Wireless Communication: Principles and Practice", Prentice-Hall, 2ndEdition, 2010, India.
  2. Yong Soo Cho, Jaekwon Kim Won Young Yang, Chung-Gu-Kang, "MIMO-OFDM Wireless Communication with MATLAB", John Willey & Sons (Asia) Pte Ltd.
  3. A. J. Paulraj, D. A. Gore, R. U. Nabar, H. Bolcskei, "An overview of MIMO communications - a key to gigabit wireless," Proceedings of the IEEE , vol. 92,pp. 198-218, Feb. 2004.
  4. Alireza, Gary J. Saulnier, Member IEEE, "General ICI cancellation Scheme for OFDM Systems", IEEE transactions on vehicular technology, vol. 54, no. 1, january 2005.
  5. Lajos L. Hanzo "OFDM and MC-CDMA" Willy Press.
  6. Anastasois Stamoulis, Suhas N. Diggavi, Member IEEE, " Intercarrier Interference in MIMO-OFDM", IEEE transactions on signal processing, vol. 50, no. 10, october 2002.
  7. J. Armstrong(1999), "Analysis of new and existing methods of reducing intercarrier interference due to carrier frequency offset in OFDM," IEEE Transactions on Communications, vol. 47, pp. 365 – 369, March 1999.
  8. Zhao and S. Haggman (2001), "Intercarrier interference self cancellation scheme for OFDM mobile communication systems," IEEE Transactions on Communications, vol. 49, pp. 1185 – 1191, July 2001.
  9. Mitalee Agrawal (2011)," BER Analysis of MIMO OFDM System for AWGN & Rayleigh Fading Channel", International Journal of Computer Applications (0975 – 8887) , Vol 34, pp 33-37, November 2011
  10. K. Vidhya R. Shankar kumar, " Channel Estimation Techniques for OFDM Systems", Proceedings of the International Conference on Pattern Recognition, Informatics and Medical Engineering, March 21-23, 2012.
  11. Neda Aboutorab, Wibowo Hardjawana and Branka Vucetic, Channel Estimation and ICI Cancellation for High Mobility Pilot-Aided MIMO-OFDM Systems, IEEE, 2013.
  12. M. Huang, X. Chen, L. Xiao, S. Zhou and J. Wang, "Kalman filter based channel estimation for OFDM in time-varying channels", IET Commun. , 2007, 1, (4), pp. 795–801.
  13. Hussein Hijazi (2010)," Joint Data QR-Detection and Kalman Estimation for OFDM Time-Varying Rayleigh Channel Complex Gains", IEEE Transactions On Communications IEEE, 2010
Index Terms

Computer Science
Information Sciences