Iterative equalization and decoding for high-data-rate frequency-hop spread-spectrum communications
In this paper, a packet-level iterative equalization-and-decoding technique is evaluated for slow-frequency-hop spread-spectrum communications with Reed-Solomon coding. The receiver employs MAP equalization with priors during each iteration, and the soft equalizer outputs are used for bounded-distan...
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description | In this paper, a packet-level iterative equalization-and-decoding technique is evaluated for slow-frequency-hop spread-spectrum communications with Reed-Solomon coding. The receiver employs MAP equalization with priors during each iteration, and the soft equalizer outputs are used for bounded-distance successive-erasures decoding. Successful decoding of some R-S codewords of the packet in earlier iterations is used to update the priors for equalization in subsequent iterations. The performance of this iterative technique is compared with the performance of one-shot equalization and successive-erasures decoding, and both are compared with the performance of a system using MLSE equalization and the parity-bit method for erasure generation. The decoding complexity of each approach is also considered, and the effect of limits on the maximum decoding delay is examined. |
doi_str_mv | 10.1109/MILCOM.2004.1494954 |
format | Conference Proceeding |
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The receiver employs MAP equalization with priors during each iteration, and the soft equalizer outputs are used for bounded-distance successive-erasures decoding. Successful decoding of some R-S codewords of the packet in earlier iterations is used to update the priors for equalization in subsequent iterations. The performance of this iterative technique is compared with the performance of one-shot equalization and successive-erasures decoding, and both are compared with the performance of a system using MLSE equalization and the parity-bit method for erasure generation. 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The decoding complexity of each approach is also considered, and the effect of limits on the maximum decoding delay is examined.</description><subject>Applied sciences</subject><subject>Coding, codes</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>Equalizers</subject><subject>Exact sciences and technology</subject><subject>Fading</subject><subject>Frequency</subject><subject>Information, signal and communications theory</subject><subject>Intersymbol interference</subject><subject>Iterative decoding</subject><subject>Maximum likelihood estimation</subject><subject>Packet radio networks</subject><subject>Reed-Solomon codes</subject><subject>Signal and communications theory</subject><subject>Signal, noise</subject><subject>Spread spectrum communication</subject><subject>Systems, networks and services of telecommunications</subject><subject>Technological innovation</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Transmission and modulation (techniques and equipments)</subject><isbn>078038847X</isbn><isbn>9780780388475</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2004</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFkEtLAzEUhQMiqLW_oJtsXKbmOZkspfgotHSj4K5kkps20nmYTIX66w1W8MDlcjgfZ3EQmjE6Z4ya-_Vytdis55xSOWfSSKPkBbqhuqairqV-v0LTnD9okeKaK36N3HKEZMf4BRg-j_YQv4vpO2w7jz243sduh0Of8D7u9sTb0ZKCAw6p4NC5E9n3A85DAutJHsCN6dhi17ftsYvutyvfostgDxmmf3-C3p4eXxcvZLV5Xi4eViQyoUZSMQlBBFXJGqjRqm64bxoG4IWm3kDFjaYauPTSKdDKUMd9Zco1oYSNmKC7c-9gs7OHkGznYt4OKbY2nbZMV1wyIQo3O3MRAP7j817iB6Y0Y0k</recordid><startdate>2004</startdate><enddate>2004</enddate><creator>Ramchandran, H.</creator><creator>Noneaker, D.L.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope><scope>IQODW</scope></search><sort><creationdate>2004</creationdate><title>Iterative equalization and decoding for high-data-rate frequency-hop spread-spectrum communications</title><author>Ramchandran, H. ; Noneaker, D.L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i135t-614ef3f5648e09758b2dbb1eed370d9e629707e24d4c5e7590c2d692d6bfe62b3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Applied sciences</topic><topic>Coding, codes</topic><topic>Detection, estimation, filtering, equalization, prediction</topic><topic>Equalizers</topic><topic>Exact sciences and technology</topic><topic>Fading</topic><topic>Frequency</topic><topic>Information, signal and communications theory</topic><topic>Intersymbol interference</topic><topic>Iterative decoding</topic><topic>Maximum likelihood estimation</topic><topic>Packet radio networks</topic><topic>Reed-Solomon codes</topic><topic>Signal and communications theory</topic><topic>Signal, noise</topic><topic>Spread spectrum communication</topic><topic>Systems, networks and services of telecommunications</topic><topic>Technological innovation</topic><topic>Telecommunications</topic><topic>Telecommunications and information theory</topic><topic>Transmission and modulation (techniques and equipments)</topic><toplevel>online_resources</toplevel><creatorcontrib>Ramchandran, H.</creatorcontrib><creatorcontrib>Noneaker, D.L.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ramchandran, H.</au><au>Noneaker, D.L.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Iterative equalization and decoding for high-data-rate frequency-hop spread-spectrum communications</atitle><btitle>IEEE MILCOM 2004. Military Communications Conference, 2004</btitle><stitle>MILCOM</stitle><date>2004</date><risdate>2004</risdate><volume>2</volume><spage>934</spage><epage>940 Vol. 2</epage><pages>934-940 Vol. 2</pages><isbn>078038847X</isbn><isbn>9780780388475</isbn><abstract>In this paper, a packet-level iterative equalization-and-decoding technique is evaluated for slow-frequency-hop spread-spectrum communications with Reed-Solomon coding. The receiver employs MAP equalization with priors during each iteration, and the soft equalizer outputs are used for bounded-distance successive-erasures decoding. Successful decoding of some R-S codewords of the packet in earlier iterations is used to update the priors for equalization in subsequent iterations. The performance of this iterative technique is compared with the performance of one-shot equalization and successive-erasures decoding, and both are compared with the performance of a system using MLSE equalization and the parity-bit method for erasure generation. The decoding complexity of each approach is also considered, and the effect of limits on the maximum decoding delay is examined.</abstract><cop>Piscataway NJ</cop><pub>IEEE</pub><doi>10.1109/MILCOM.2004.1494954</doi></addata></record> |
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subjects | Applied sciences Coding, codes Detection, estimation, filtering, equalization, prediction Equalizers Exact sciences and technology Fading Frequency Information, signal and communications theory Intersymbol interference Iterative decoding Maximum likelihood estimation Packet radio networks Reed-Solomon codes Signal and communications theory Signal, noise Spread spectrum communication Systems, networks and services of telecommunications Technological innovation Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) |
title | Iterative equalization and decoding for high-data-rate frequency-hop spread-spectrum communications |
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