NDLI: Online log-likelihood ratio scaling for robust turbo decoding

Content Provider	IET Digital Library
Author	Khamy, Mostafa El Wu, Jinhong Lee, Jungwon Kang, Inyup
Abstract	Optimal iterative log-MAP decoding of turbo codes requires accurate knowledge of the operating signal-to-noise ratio (SNR). However, the SNR information, available at practical decoders for bit-interleaved coded modulation systems, such as the third generation partnership project high-speed packet access and long-term evolution wireless cellular systems, may be inaccurate. In this study, two decoder architectures for improved turbo decoding in the presence of SNR mismatch are proposed. The SNR-mismatch aware turbo decoder selects the decoder which is estimated to have the best performance at the current mismatch, according to the test criterion. The SNR-mismatch compensated turbo decoder provides a more accurate estimation of the noise variance and concurrently scales the channel and the decoder log-likelihood ratios (LLRs) to continue decoding. Two different methods are proposed to find the optimal scaling factors online, one on the symbol level and the other on the bit level. This study shows that online LLR scaling, without prior knowledge about the noise mismatch statistics, can result in near-optimal turbo decoding regardless of the initial SNR mismatch.
Starting Page	217
Ending Page	226
Page Count	10
ISSN	17518628
Volume Number	8
e-ISSN	17518636
Issue Number	Issue 2, Jan (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/8/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2013.0471
Journal	IET Communications
Publisher Date	2013-12-12
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bit-interleaved Coded Modulation System Code Decoder Architecture Decoder Log-likelihood Ratio Iterative Decoding Maximum Likelihood Decoding Modulation Coding Online Log Likelihood Ratio Scaling Optimal Iterative Log-MAP Decoding Radio Communication Radio Link And Equipment Robust Turbo Decoding Signal-to-noise Ratio Mismatch Turbo Code
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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