The week's pick
Reseach Article
Channel Estimation based on Kalman Filtering with BER Reduction in MIMO-OFDM Systems
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 97 - Number 1 |
| Year of Publication: 2014 |
| Authors: Amit Kapoor, Ishan Khurana |
10.5120/16971-6715
|
Amit Kapoor, Ishan Khurana . Channel Estimation based on Kalman Filtering with BER Reduction in MIMO-OFDM Systems. International Journal of Computer Applications. 97, 1 ( July 2014), 20-24. DOI=10.5120/16971-6715
Abstract
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.
References
- Theodore S.Rappaport, “Wireless Communication: Principles and Practice”, Prentice-Hall, 2ndEdition, 2010, India.
- Yong Soo Cho, Jaekwon Kim Won Young Yang, Chung-Gu-Kang, “MIMO-OFDM Wireless Communication with MATLAB”, John Willey & Sons (Asia) Pte Ltd.
- 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.
- Alireza, Gary J. Saulnier, Member IEEE, “General ICI cancellation Scheme for OFDM Systems”, IEEE transactions on vehicular technology, vol. 54, no. 1, january 2005.
- Lajos L. Hanzo “OFDM and MC-CDMA” Willy Press.
- Anastasois Stamoulis, Suhas N. Diggavi, Member IEEE, “ Intercarrier Interference in MIMO-OFDM”, IEEE transactions on signal processing, vol. 50, no. 10, october 2002.
- 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.
- 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.
- 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
- 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.
- Neda Aboutorab, Wibowo Hardjawana and Branka Vucetic, Channel Estimation and ICI Cancellation for High Mobility Pilot-Aided MIMO-OFDM Systems, IEEE, 2013.
- 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.
- Hussein Hijazi (2010)," Joint Data QR-Detection and Kalman Estimation for OFDM Time-Varying Rayleigh Channel Complex Gains", IEEE Transactions On Communications IEEE, 2010
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