Joint Channel Estimation and LDPC Decoding Over Time-Varying Impulsive Noise Channels

This paper tackles the problem of channel estimation and decoding in environments that exhibit time-varying block-memoryless impulsive noise. In order to perform the estimation in continuous value space and the decoding in discrete value space jointly, a novel message passing framework is proposed t...

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Bibliographic Details
Published inIEEE transactions on communications Vol. 66; no. 6; pp. 2376 - 2383
Main Authors Hou, Yi, Liu, Rongke, Dai, Bin, Zhao, Ling
Format Journal Article
LanguageEnglish
Published New York IEEE 01.06.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithm design and analysis
Channel estimation
Decoding
Estimation
Impulsive noise
Iterative decoding
low-density parity-check codes
Message passing
message passing framework
random-walk metropolis algorithm
Resampling
sampling-importance resampling
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Summary:This paper tackles the problem of channel estimation and decoding in environments that exhibit time-varying block-memoryless impulsive noise. In order to perform the estimation in continuous value space and the decoding in discrete value space jointly, a novel message passing framework is proposed that combines the sampling-importance resampling (SIR) estimator and the LDPC sum-product decoder in an iterative manner. The resampling process within the framework is further improved based on the asymptotic performance analysis for mismatched decoding. The simulation results prove the validity of the enhanced SIR estimator in the proposed method and demonstrate our method can achieve better performance than the LDPC decoder with quantile estimator.
ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2018.2800748