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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| Published in | IEEE transactions on communications Vol. 66; no. 6; pp. 2376 - 2383 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.06.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Yi Hou Rongke Liu Ling Zhao Bin Dai |
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| Cites_doi | 10.1109/TWC.2010.04.080631 10.1016/j.dsp.2014.12.009 10.1109/ICC.2004.1312544 10.1109/TSP.2006.880306 10.1109/TSP.2010.2072922 10.1049/iet-com:20070039 10.1109/78.978374 10.1109/78.476432 10.1121/1.2782884 10.1109/GLOCOM.2011.6134477 10.1109/TCOM.1981.1095035 10.1080/15326349708807450 10.1109/JSEN.2012.2223209 10.1017/CBO9780511803253 10.1080/03610918608812563 10.1109/LCOMM.2016.2636178 10.1109/JPROC.2007.896497 10.1109/TSP.2013.2295063 |
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| References | ref13 ref12 ref15 ref14 ref20 ref11 ref10 koyon (ref8) 1995 ref1 ref17 ref16 ref19 ref18 ref7 ref9 ref4 ref3 ref6 mackay (ref21) 2017 ref5 ilow (ref2) 1988; sp 46 |
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| Snippet | This paper tackles the problem of channel estimation and decoding in environments that exhibit time-varying block-memoryless impulsive noise. In order to... |
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| SubjectTerms | 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 |
| Title | Joint Channel Estimation and LDPC Decoding Over Time-Varying Impulsive Noise Channels |
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