Research Article
Kalman Filtering based Channel Estimation for MIMO-OFDM
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 53 - Issue 15 |
| Published: September 2012 |
| Authors: Ashish Kr. Gupta, Mukesh Pathela, Arun Kumar |
10.5120/8495-2443
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Ashish Kr. Gupta, Mukesh Pathela, Arun Kumar . Kalman Filtering based Channel Estimation for MIMO-OFDM. International Journal of Computer Applications. 53, 15 (September 2012), 8-12. DOI=10.5120/8495-2443
@article{ 10.5120/8495-2443,
author = { Ashish Kr. Gupta,Mukesh Pathela,Arun Kumar },
title = { Kalman Filtering based Channel Estimation for MIMO-OFDM },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 53 },
number = { 15 },
pages = { 8-12 },
doi = { 10.5120/8495-2443 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A Ashish Kr. Gupta
%A Mukesh Pathela
%A Arun Kumar
%T Kalman Filtering based Channel Estimation for MIMO-OFDM%T
%J International Journal of Computer Applications
%V 53
%N 15
%P 8-12
%R 10.5120/8495-2443
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In this paper, Kalman filtering is used for MIMO-OFDM channel estimation. First we uses the MIMO-OFDM Training sequences, the current channel response at the receiving end, and then use the Kalman filter method to estimate the channel response. The measure and tracking, using the Jakes channel transmission model. Through simulation can be seen, and compared to other channel estimation method proposed in this paper. Method can fast-track the time-varying channel where the channel response changes very quickly. At the same time, without excessive insertion of training sequences and pilot symbols, the performance of more greatly improved.
References
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