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Bit-Interleaved Coded Modulation with Mismatched Decoding Metrics

delete2011-02-01
delete35
PRE
AI
T
Trung T. Nguyen *
L
Lutz Lampe
DOI:10.1109/TCOMM.2011.121410.100281delete
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摘要

摘要

En 中文
Bit-interleaved coded modulation (BICM) has become the de facto coding standard for communication systems. Recently, BICM has been cast as a mismatched decoding scheme due to the assumption of independent bit metrics. In addition to this inherent mismatch, practical demodulators may produce mismatched decoding metrics because of implementation constraints, such as clipping and metric approximation to reduce computational complexity. In this paper, we investigate BICM with such metrics. In line with recent works on this topic, we adopt the generalized mutual information (GMI) as the pertinent performance measure. First, we show that level-dependent scaling of logarithmic bit metrics can improve the BICM GMI. Second, we propose a uniform metric scaling which can lead to an improved performance of mismatched sum-product symbol-by-symbol decoding, even if the GMI is not changed. Third, we investigate general metric-mismatch correction methods and analyze their effects in terms of the GMI. By means of three application examples, we illustrate that metric-mismatch correction, including metric scaling, can significantly increase BICM rates.
Keyword:
Bit-interleaved coded modulation (BICM)
mismatched decoding
generalized mutual information (GMI)
symbol-by-symbol decoding
metric correction
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期刊

IEEE Transactions on Communications 封面图
IEEE Transactions on Communications
IF:
8.3
论文数:
1.2W
被引数:
3.6W

机构

U
University of British Columbia
学者数:
7.0W
论文数: 6.1W
被引数: 8.6W
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