Lower bounds on the error probability of turbo codes
Author
Özçelikkale, Ayça
Duman, Tolga M.
Date
2014-06-07Source Title
IEEE International Symposium on Information Theory - Proceedings
Publisher
IEEE
Pages
3170 - 3174
Language
English
Type
Conference PaperItem Usage Stats
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Abstract
We present lower bounds on the error probability of turbo codes under maximum likelihood (ML) decoding. We focus on additive white Gaussian noise (AWGN) channels, and consider both ensembles of codes with uniform interleaving and specific turbo codes with fixed interleavers. To calculate the lower bounds, instead of using the traditional approach that only makes use of the distance spectrum, we propose to utilize the exact second order distance spectrum. This approach together with a proper restriction of the error events results in promising lower bounds. © 2014 IEEE.
Keywords
Information theoryWhite noise
Additive white Gaussian noise channel
Distance spectra
Error events
Error probabilities
Maximum-likelihood decoding
Second orders
Traditional approaches
Uniform interleaving
Turbo codes