By Topic

Channel estimation and Equalization for time-varying OFDM system using Kaiman filter

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Rajasekhar, C. ; Dept..of ECE, GITAM Univ., Vishakapatanam, India ; Rao, D.S. ; Kumar, Y.V.P. ; Vijay, K.

Orthogonal Frequency Division Multiplexing (OFDM) technique has become major multi carrier technique with the advent of wireless and mobile communications. It is known that OFDM is effective over frequency selective fading. However, ICI (inter-carrier interference) destroys the subcarrier orthogonality in time varying channels. The ICI can be mitigated by using different channel estimation schemes at receiver of fast fading systems. Though many channel estimation techniques have already existed, they suffer from complexity in implementation. Efficient channel estimation can be done by assuming channel as a linear state space model i.e., Kaiman filter model. This paper discusses about the Kaiman filter based channel estimation technique that can be implemented with less complexity yet efficient for a time varying channel model. The Equalization is employed using a time-domain filter that maximizes receiver SINR. Also, the proposed technique's efficiency is proved in terms of MSEE, BER in comparison with other techniques.

Published in:

Information and Communication Technologies (WICT), 2012 World Congress on

Date of Conference:

Oct. 30 2012-Nov. 2 2012