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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Veröffentlicht in: | IEEE transactions on communications 2018-06, Vol.66 (6), p.2376-2383 |
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creator | Hou, Yi Liu, Rongke Dai, Bin Zhao, Ling |
description | 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. |
doi_str_mv | 10.1109/TCOMM.2018.2800748 |
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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. 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(IEEE) 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c295t-76648a71c0d701095df380a3286a910af00485fc294cfbe8383c69f15c236be83</citedby><cites>FETCH-LOGICAL-c295t-76648a71c0d701095df380a3286a910af00485fc294cfbe8383c69f15c236be83</cites><orcidid>0000-0003-3098-8649 ; 0000-0003-3522-6627</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8278238$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8278238$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Hou, Yi</creatorcontrib><creatorcontrib>Liu, Rongke</creatorcontrib><creatorcontrib>Dai, Bin</creatorcontrib><creatorcontrib>Zhao, Ling</creatorcontrib><title>Joint Channel Estimation and LDPC Decoding Over Time-Varying Impulsive Noise Channels</title><title>IEEE transactions on communications</title><addtitle>TCOMM</addtitle><description>This paper tackles the problem of channel estimation and decoding in environments that exhibit time-varying block-memoryless impulsive noise. 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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.</description><subject>Algorithm design and analysis</subject><subject>Channel estimation</subject><subject>Decoding</subject><subject>Estimation</subject><subject>Impulsive noise</subject><subject>Iterative decoding</subject><subject>low-density parity-check codes</subject><subject>Message passing</subject><subject>message passing framework</subject><subject>random-walk metropolis algorithm</subject><subject>Resampling</subject><subject>sampling-importance resampling</subject><issn>0090-6778</issn><issn>1558-0857</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9UMFOAjEUbIwmIvoDemniefG13W67R7OAYkA8gNem7na1BFpsFxL-3l1BTy_vZWbezCB0S2BACOQPi2I-mw0oEDmgEkCk8gz1COcyAcnFOeoB5JBkQshLdBXjCgBSYKyHli_eugYXX9o5s8aj2NiNbqx3WLsKT4dvBR6a0lfWfeL53gS8sBuTvOtw6C6TzXa3jnZv8Ku30fzJxGt0Uet1NDen2UfL8WhRPCfT-dOkeJwmJc15k4gsS6UWpIRKQBuDVzWToBmVmc4J6Lp1KXndgtOy_jCSSVZmeU14SVnW7X10f9TdBv-9M7FRK78Lrn2pKBEpB0qyDkWPqDL4GIOp1Ta0KcNBEVBdfeq3PtXVp071taS7I8kaY_4JkgpJWxs_5QBqMQ</recordid><startdate>20180601</startdate><enddate>20180601</enddate><creator>Hou, Yi</creator><creator>Liu, Rongke</creator><creator>Dai, Bin</creator><creator>Zhao, Ling</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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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.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TCOMM.2018.2800748</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0003-3098-8649</orcidid><orcidid>https://orcid.org/0000-0003-3522-6627</orcidid></addata></record> |
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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 |
title | Joint Channel Estimation and LDPC Decoding Over Time-Varying Impulsive Noise Channels |
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