Multiple differential detection of parallel concatenated convolutional (turbo) codes in correlated fast Rayleigh fading
A new technique for iterative decoding of parallel concatenated convolutional (turbo) codes (PCCCs) for the correlated fast Rayleigh fading channel is proposed and evaluated. This technique is based upon the use of a multiple differential detector (MDD) receiver structure which exploits the statisti...
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Veröffentlicht in: | IEEE journal on selected areas in communications 1998-02, Vol.16 (2), p.265-275, Article 265 |
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description | A new technique for iterative decoding of parallel concatenated convolutional (turbo) codes (PCCCs) for the correlated fast Rayleigh fading channel is proposed and evaluated. This technique is based upon the use of a multiple differential detector (MDD) receiver structure which exploits the statistical characteristics of the fading process to overcome the effects of the rapid phase and amplitude variations. Since traditional MDD receivers cannot be used with PCCCs because they do not produce soft output and are not compatible with channel interleaving, a novel MDD receiver structure is derived which overcomes these shortfalls. In addition, with careful use of extrinsic information related to the a posteriori probability distribution function of the transmitted symbols, the receiver is designed in such a fashion as to allow channel estimation to improve with each iteration. Evaluation of the proposed receiver by means of computer simulation has shown dramatic performance improvements in fast Rayleigh fading channels as compared to long constraint-length conventional convolutional codes using both single and traditional MDD receiver structures. |
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This technique is based upon the use of a multiple differential detector (MDD) receiver structure which exploits the statistical characteristics of the fading process to overcome the effects of the rapid phase and amplitude variations. Since traditional MDD receivers cannot be used with PCCCs because they do not produce soft output and are not compatible with channel interleaving, a novel MDD receiver structure is derived which overcomes these shortfalls. In addition, with careful use of extrinsic information related to the a posteriori probability distribution function of the transmitted symbols, the receiver is designed in such a fashion as to allow channel estimation to improve with each iteration. 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This technique is based upon the use of a multiple differential detector (MDD) receiver structure which exploits the statistical characteristics of the fading process to overcome the effects of the rapid phase and amplitude variations. Since traditional MDD receivers cannot be used with PCCCs because they do not produce soft output and are not compatible with channel interleaving, a novel MDD receiver structure is derived which overcomes these shortfalls. In addition, with careful use of extrinsic information related to the a posteriori probability distribution function of the transmitted symbols, the receiver is designed in such a fashion as to allow channel estimation to improve with each iteration. Evaluation of the proposed receiver by means of computer simulation has shown dramatic performance improvements in fast Rayleigh fading channels as compared to long constraint-length conventional convolutional codes using both single and traditional MDD receiver structures.</description><subject>Channel estimation</subject><subject>Concatenated codes</subject><subject>Convolutional codes</subject><subject>Detectors</subject><subject>Fading</subject><subject>Interleaved codes</subject><subject>Iterative decoding</subject><subject>Phase detection</subject><subject>Probability distribution</subject><subject>Rayleigh channels</subject><issn>0733-8716</issn><issn>1558-0008</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1998</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNptkL1PwzAQxS0EEuVjYGXKhOgQ6kscOx5RxZdUhIRgjhz7XIxMUmwHxH9PSisGxHC6e3e_d8Mj5AToBQCVMyYvOAeAaodMoKrqnFJa75IJFWWZ1wL4PjmI8ZVSYKwuJuTzfvDJrTxmxlmLAbvklM8MJtTJ9V3W22ylgvIefab7TquE3VhmLT56P6yh0XCehtD203FrMGauG4cQ0P-QVsWUPaovj275MirjuuUR2bPKRzze9kPyfH31NL_NFw83d_PLRa4LIVKujCxbrpELVGgN8NowacAWvBVV0UrT8rqAlgoQDFpluWSFLaWEqtQgsCwPydnm7yr07wPG1Ly5qNF71WE_xKaoS8mAyRGcbkAd-hgD2mYV3JsKXw3QZh1tw2SziXZkZ39Y7ZJaJ5GCcv5fx-nG4RDx9_P2-A2qp4WU</recordid><startdate>19980201</startdate><enddate>19980201</enddate><creator>Marsland, I.D.</creator><creator>Mathiopoulos, P.T.</creator><general>IEEE</general><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>19980201</creationdate><title>Multiple differential detection of parallel concatenated convolutional (turbo) codes in correlated fast Rayleigh fading</title><author>Marsland, I.D. ; Mathiopoulos, P.T.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c277t-ad93b6ce67eaefd168d49d1f26b752b9db6821b071741baf6942f399153c17e33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Channel estimation</topic><topic>Concatenated codes</topic><topic>Convolutional codes</topic><topic>Detectors</topic><topic>Fading</topic><topic>Interleaved codes</topic><topic>Iterative decoding</topic><topic>Phase detection</topic><topic>Probability distribution</topic><topic>Rayleigh channels</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Marsland, I.D.</creatorcontrib><creatorcontrib>Mathiopoulos, P.T.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE journal on selected areas in communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Marsland, I.D.</au><au>Mathiopoulos, P.T.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multiple differential detection of parallel concatenated convolutional (turbo) codes in correlated fast Rayleigh fading</atitle><jtitle>IEEE journal on selected areas in communications</jtitle><stitle>J-SAC</stitle><date>1998-02-01</date><risdate>1998</risdate><volume>16</volume><issue>2</issue><spage>265</spage><epage>275</epage><pages>265-275</pages><artnum>265</artnum><issn>0733-8716</issn><eissn>1558-0008</eissn><coden>ISACEM</coden><abstract>A new technique for iterative decoding of parallel concatenated convolutional (turbo) codes (PCCCs) for the correlated fast Rayleigh fading channel is proposed and evaluated. This technique is based upon the use of a multiple differential detector (MDD) receiver structure which exploits the statistical characteristics of the fading process to overcome the effects of the rapid phase and amplitude variations. Since traditional MDD receivers cannot be used with PCCCs because they do not produce soft output and are not compatible with channel interleaving, a novel MDD receiver structure is derived which overcomes these shortfalls. In addition, with careful use of extrinsic information related to the a posteriori probability distribution function of the transmitted symbols, the receiver is designed in such a fashion as to allow channel estimation to improve with each iteration. 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subjects | Channel estimation Concatenated codes Convolutional codes Detectors Fading Interleaved codes Iterative decoding Phase detection Probability distribution Rayleigh channels |
title | Multiple differential detection of parallel concatenated convolutional (turbo) codes in correlated fast Rayleigh fading |
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