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

An improved interleaver design technique for parallel concatenated convolutional codes

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)
Daneshgaran, F. ; Dept. of Electr. & Comput. Sci., California State Univ., Los Angeles, CA, USA ; Laddomada, M.

This paper is aimed at the problem of designing optimized interleavers for parallel concatenated convolutional codes (PCCC) that satisfy several requirements simultaneously: 1) designing interleavers tailored to the constituent codes of the PCCC; 2) improving the distance spectra of the resulting turbo codes which dominate their asymptotic performance; and 3) constructing optimized interleavers recursively so that they are implicitly prunable. Two more modifications of a previously developed iterative interleaver growth algorithm (IGA) of polynomial complexity [F. Daneshragan et al., Sept. 1999] are presented to improve the performance of the optimized interleavers at a reduced complexity: 1) a growing window is used to trap error patterns of proper length in order to form the cost function; and 2) we employ error feedback to further improve the distance spectrum, of the optimized codes and to reduce complexity. The optimization is achieved via constrained minimization of a cost function closely related to the asymptotic bit error rate (BER) or frame error rate (FER) of the codes.

Published in:

Communications, 2003. ICC '03. IEEE International Conference on  (Volume:5 )

Date of Conference:

11-15 May 2003

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.