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Reseach Article

Channel Estimation based on Kalman Filtering with BER Reduction in MIMO-OFDM Systems

by Amit Kapoor, Ishan Khurana
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

@article{ 10.5120/16971-6715,
author = { Amit Kapoor, Ishan Khurana },
title = { Channel Estimation based on Kalman Filtering with BER Reduction in MIMO-OFDM Systems },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 97 },
number = { 1 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 20-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume97/number1/16971-6715/ },
doi = { 10.5120/16971-6715 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:22:58.963999+05:30
%A Amit Kapoor
%A Ishan Khurana
%T Channel Estimation based on Kalman Filtering with BER Reduction in MIMO-OFDM Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 97
%N 1
%P 20-24
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
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
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Index Terms

Computer Science
Information Sciences

Keywords

OFDM MIMO KALMAN BIT ERROR RATE FILTERING