Tensor-Based Joint Channel and Symbol Estimation for Two-Way MIMO Relaying Systems
In this letter, we present two closed-form semiblind receivers for a two-way amplify-and-forward relaying system. The proposed receivers jointly estimate the symbol and channel matrices involved in the two-way relaying system by exploiting tensor structures of the received signals at the relay and t...
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Veröffentlicht in: | IEEE signal processing letters 2019-02, Vol.26 (2), p.227-231 |
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creator | Freitas, Walter da C. Favier, Gerard de Almeida, Andre L. F. |
description | In this letter, we present two closed-form semiblind receivers for a two-way amplify-and-forward relaying system. The proposed receivers jointly estimate the symbol and channel matrices involved in the two-way relaying system by exploiting tensor structures of the received signals at the relay and the destination, and without using training sequences, in contrast to previous works. Differently from competing receivers, one of the proposed receivers does not require channel reciprocity between uplink and downlink phases, which can be of interest in frequency division duplexing relaying systems. Parameter identifiability and computational complexity are analyzed, and simulation results are provided to corroborate the effectiveness of the proposed semiblind receivers in scenarios with and without channel reciprocity. |
doi_str_mv | 10.1109/LSP.2018.2885227 |
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F.</creator><creatorcontrib>Freitas, Walter da C. ; Favier, Gerard ; de Almeida, Andre L. F.</creatorcontrib><description>In this letter, we present two closed-form semiblind receivers for a two-way amplify-and-forward relaying system. The proposed receivers jointly estimate the symbol and channel matrices involved in the two-way relaying system by exploiting tensor structures of the received signals at the relay and the destination, and without using training sequences, in contrast to previous works. Differently from competing receivers, one of the proposed receivers does not require channel reciprocity between uplink and downlink phases, which can be of interest in frequency division duplexing relaying systems. Parameter identifiability and computational complexity are analyzed, and simulation results are provided to corroborate the effectiveness of the proposed semiblind receivers in scenarios with and without channel reciprocity.</description><identifier>ISSN: 1070-9908</identifier><identifier>EISSN: 1558-2361</identifier><identifier>DOI: 10.1109/LSP.2018.2885227</identifier><identifier>CODEN: ISPLEM</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Channel estimation ; closed-form semiblind receiver ; Computer Science ; Computer simulation ; Frequency division duplexing ; Interference cancellation ; Mathematical analysis ; MIMO (control systems) ; MIMO communication ; Parameter identification ; Receivers ; Reciprocity ; Relaying ; Relays ; Signal and Image Processing ; tensor space-time code (TSTC) ; Tensors ; Tucker-2 model ; Two-way relaying ; Uplink</subject><ispartof>IEEE signal processing letters, 2019-02, Vol.26 (2), p.227-231</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c325t-bf159a269116248ad424128416c2e4fdc463dff862b59e10024b468a2b16084a3</citedby><cites>FETCH-LOGICAL-c325t-bf159a269116248ad424128416c2e4fdc463dff862b59e10024b468a2b16084a3</cites><orcidid>0000-0002-0821-3460 ; 0000-0002-3149-6307 ; 0000-0002-8882-7410</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8565909$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,314,777,781,793,882,27905,27906,54739</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8565909$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://hal.science/hal-03548152$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Freitas, Walter da C.</creatorcontrib><creatorcontrib>Favier, Gerard</creatorcontrib><creatorcontrib>de Almeida, Andre L. F.</creatorcontrib><title>Tensor-Based Joint Channel and Symbol Estimation for Two-Way MIMO Relaying Systems</title><title>IEEE signal processing letters</title><addtitle>LSP</addtitle><description>In this letter, we present two closed-form semiblind receivers for a two-way amplify-and-forward relaying system. The proposed receivers jointly estimate the symbol and channel matrices involved in the two-way relaying system by exploiting tensor structures of the received signals at the relay and the destination, and without using training sequences, in contrast to previous works. Differently from competing receivers, one of the proposed receivers does not require channel reciprocity between uplink and downlink phases, which can be of interest in frequency division duplexing relaying systems. Parameter identifiability and computational complexity are analyzed, and simulation results are provided to corroborate the effectiveness of the proposed semiblind receivers in scenarios with and without channel reciprocity.</description><subject>Channel estimation</subject><subject>closed-form semiblind receiver</subject><subject>Computer Science</subject><subject>Computer simulation</subject><subject>Frequency division duplexing</subject><subject>Interference cancellation</subject><subject>Mathematical analysis</subject><subject>MIMO (control systems)</subject><subject>MIMO communication</subject><subject>Parameter identification</subject><subject>Receivers</subject><subject>Reciprocity</subject><subject>Relaying</subject><subject>Relays</subject><subject>Signal and Image Processing</subject><subject>tensor space-time code (TSTC)</subject><subject>Tensors</subject><subject>Tucker-2 model</subject><subject>Two-way relaying</subject><subject>Uplink</subject><issn>1070-9908</issn><issn>1558-2361</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kMFPwjAUhxejiYjeTbw08eRh2Ne1pT0iQcGMYADjsem2TkbGiuvQ7L-3ZITTe3n5fi-_fEFwD3gAgOVzvPoYEAxiQIRghAwvgh4wJkIScbj0Ox7iUEosroMb57YYYwGC9YLl2lTO1uGLdiZD77aoGjTe6KoyJdJVhlbtLrElmrim2OmmsBXKbY3Wfzb80i2az-YLtDSlbovq27OuMTt3G1zlunTm7jT7wefrZD2ehvHibTYexWEaEdaESQ5MasIlACdU6IwSCkRQ4CkxNM9SyqMszwUnCZMGMCY0oVxokgDHguqoHzx1fze6VPva96tbZXWhpqNYHW84YlQAI7_g2ceO3df252Bco7b2UFe-niK-hpSRF-Ip3FFpbZ2rTX5-C1gdLStvWR0tq5NlH3noIoUx5owLxpnEMvoH9DR1Tw</recordid><startdate>20190201</startdate><enddate>20190201</enddate><creator>Freitas, Walter da C.</creator><creator>Favier, Gerard</creator><creator>de Almeida, Andre L. F.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><general>Institute of Electrical and Electronics Engineers</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-0821-3460</orcidid><orcidid>https://orcid.org/0000-0002-3149-6307</orcidid><orcidid>https://orcid.org/0000-0002-8882-7410</orcidid></search><sort><creationdate>20190201</creationdate><title>Tensor-Based Joint Channel and Symbol Estimation for Two-Way MIMO Relaying Systems</title><author>Freitas, Walter da C. ; Favier, Gerard ; de Almeida, Andre L. F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c325t-bf159a269116248ad424128416c2e4fdc463dff862b59e10024b468a2b16084a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Channel estimation</topic><topic>closed-form semiblind receiver</topic><topic>Computer Science</topic><topic>Computer simulation</topic><topic>Frequency division duplexing</topic><topic>Interference cancellation</topic><topic>Mathematical analysis</topic><topic>MIMO (control systems)</topic><topic>MIMO communication</topic><topic>Parameter identification</topic><topic>Receivers</topic><topic>Reciprocity</topic><topic>Relaying</topic><topic>Relays</topic><topic>Signal and Image Processing</topic><topic>tensor space-time code (TSTC)</topic><topic>Tensors</topic><topic>Tucker-2 model</topic><topic>Two-way relaying</topic><topic>Uplink</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Freitas, Walter da C.</creatorcontrib><creatorcontrib>Favier, Gerard</creatorcontrib><creatorcontrib>de Almeida, Andre L. 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F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Tensor-Based Joint Channel and Symbol Estimation for Two-Way MIMO Relaying Systems</atitle><jtitle>IEEE signal processing letters</jtitle><stitle>LSP</stitle><date>2019-02-01</date><risdate>2019</risdate><volume>26</volume><issue>2</issue><spage>227</spage><epage>231</epage><pages>227-231</pages><issn>1070-9908</issn><eissn>1558-2361</eissn><coden>ISPLEM</coden><abstract>In this letter, we present two closed-form semiblind receivers for a two-way amplify-and-forward relaying system. The proposed receivers jointly estimate the symbol and channel matrices involved in the two-way relaying system by exploiting tensor structures of the received signals at the relay and the destination, and without using training sequences, in contrast to previous works. Differently from competing receivers, one of the proposed receivers does not require channel reciprocity between uplink and downlink phases, which can be of interest in frequency division duplexing relaying systems. Parameter identifiability and computational complexity are analyzed, and simulation results are provided to corroborate the effectiveness of the proposed semiblind receivers in scenarios with and without channel reciprocity.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/LSP.2018.2885227</doi><tpages>5</tpages><orcidid>https://orcid.org/0000-0002-0821-3460</orcidid><orcidid>https://orcid.org/0000-0002-3149-6307</orcidid><orcidid>https://orcid.org/0000-0002-8882-7410</orcidid></addata></record> |
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subjects | Channel estimation closed-form semiblind receiver Computer Science Computer simulation Frequency division duplexing Interference cancellation Mathematical analysis MIMO (control systems) MIMO communication Parameter identification Receivers Reciprocity Relaying Relays Signal and Image Processing tensor space-time code (TSTC) Tensors Tucker-2 model Two-way relaying Uplink |
title | Tensor-Based Joint Channel and Symbol Estimation for Two-Way MIMO Relaying Systems |
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