In this work, we show that polar belief propagation (BP) decoding exhibits an error floor behavior which is caused by clipping of the log-likelihood ratios (LLR). The error floor becomes more pronounced for clipping to smaller LLR-values. We introduce a single-value measure quantifying a “relative error floor”, showing, by exhaustive simulations for different lengths, that the error floor is mainly caused by inadequate clipping values. We propose four modifications to the conventional BP decoding algorithm to mitigate this error floor behavior, demonstrating that the error floor is a decoder property, and not a code property. The results agree with the fact that polar codes are theoretically proven to not suffer from error floors. Finally, we show that another cause of error floors can be an improper selection of frozen bit positions.
Description
Mitigating clipping effects on error floors under belief propagation decoding of polar codes - IEEE Conference Publication
%0 Conference Paper
%1 8108145
%A Elkelesh, A.
%A Cammerer, S.
%A Ebada, M.
%A ten Brink, S.
%B 2017 International Symposium on Wireless Communication Systems (ISWCS)
%D 2017
%K coding myown
%P 384-389
%R 10.1109/ISWCS.2017.8108145
%T Mitigating clipping effects on error floors under belief propagation decoding of polar codes
%U https://ieeexplore.ieee.org/document/8108145
%X In this work, we show that polar belief propagation (BP) decoding exhibits an error floor behavior which is caused by clipping of the log-likelihood ratios (LLR). The error floor becomes more pronounced for clipping to smaller LLR-values. We introduce a single-value measure quantifying a “relative error floor”, showing, by exhaustive simulations for different lengths, that the error floor is mainly caused by inadequate clipping values. We propose four modifications to the conventional BP decoding algorithm to mitigate this error floor behavior, demonstrating that the error floor is a decoder property, and not a code property. The results agree with the fact that polar codes are theoretically proven to not suffer from error floors. Finally, we show that another cause of error floors can be an improper selection of frozen bit positions.
@inproceedings{8108145,
abstract = {In this work, we show that polar belief propagation (BP) decoding exhibits an error floor behavior which is caused by clipping of the log-likelihood ratios (LLR). The error floor becomes more pronounced for clipping to smaller LLR-values. We introduce a single-value measure quantifying a “relative error floor”, showing, by exhaustive simulations for different lengths, that the error floor is mainly caused by inadequate clipping values. We propose four modifications to the conventional BP decoding algorithm to mitigate this error floor behavior, demonstrating that the error floor is a decoder property, and not a code property. The results agree with the fact that polar codes are theoretically proven to not suffer from error floors. Finally, we show that another cause of error floors can be an improper selection of frozen bit positions.},
added-at = {2020-03-23T22:13:39.000+0100},
author = {{Elkelesh}, A. and {Cammerer}, S. and {Ebada}, M. and {ten Brink}, S.},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/26588b67d6d5ea6944e92ee90244e6868/scammerer},
booktitle = {2017 International Symposium on Wireless Communication Systems (ISWCS)},
description = {Mitigating clipping effects on error floors under belief propagation decoding of polar codes - IEEE Conference Publication},
doi = {10.1109/ISWCS.2017.8108145},
interhash = {57489e598266c28fc637b30d8647af2a},
intrahash = {6588b67d6d5ea6944e92ee90244e6868},
issn = {2154-0225},
keywords = {coding myown},
month = aug,
pages = {384-389},
timestamp = {2020-03-23T21:31:47.000+0100},
title = {Mitigating clipping effects on error floors under belief propagation decoding of polar codes},
url = {https://ieeexplore.ieee.org/document/8108145},
year = 2017
}