Cart (Loading....) | Create Account
Close category search window
 

Particle filtering applied to turbo equalization with channel and noise variance estimation

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

2 Author(s)
Guimaraes, A.G. ; Inst. Mil. de Eng., Rio de Janeiro ; Pinto, E.L.

We use the particle filtering approach to develop a new Bayesian equalizer for turbo equalization under conditions of imperfect estimation of the channel impulse response (CIR) and the noise variance. This new equalizer is derived on the basis of fixed-lag smoothing, using the SIS (Sequential Importance Sampling) methodology to approximate the conditional probability distribution of a block of transmitted symbols, given the corresponding block of channel outputs and the estimates of the unknown parameters (channel gains and noise variance). Simulation results of performance evaluation and comparison with the MMSE equalizer proposed in [1] are provided, under different conditions of errors in the estimation of the mentioned parameters. It is shown that the proposed scheme significantly outperforms the SISO (soft-input soft-output) equalizer of [1], specially when the estimation errors are more significant.

Published in:

Signal Processing Advances in Wireless Communications, 2008. SPAWC 2008. IEEE 9th Workshop on

Date of Conference:

6-9 July 2008

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.