Adaptive Polar-Linear Interpolation Aided Channel Estimation for Wireless Communication Systems
Channel Estimation (CE) is one of the key components in wireless communication systems employing coherent demodulation and interference cancellation. Among the numerous CE techniques in the literature, Pilot-Assisted Channel Estimation (PACE) has been widely used in many practical systems, thanks to...
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| Veröffentlicht in: | IEEE transactions on wireless communications 2012-03, Vol.11 (3), p.920-926 |
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| creator | Jiang, Ming Huang, Siji Wen, Wenkun |
| description | Channel Estimation (CE) is one of the key components in wireless communication systems employing coherent demodulation and interference cancellation. Among the numerous CE techniques in the literature, Pilot-Assisted Channel Estimation (PACE) has been widely used in many practical systems, thanks to its simplicity and efficiency for implementation. In order to minimise pilot overhead, interpolation is typically mandatory in PACE. Conventional linear and Polar-Linear Interpolation (PLI) methods are easy to implement, but naturally result in residual interpolation errors that can not be mitigated even at high Signal-to-Noise Ratios (SNRs). In this paper, we propose a CE scheme equipped with a novel interpolation method referred to as Adaptive Polar-Linear Interpolation (APLI). The proposed APLI-aided CE scheme can achieve a good performance, thanks to its capability of adaptively tracking the instantaneous variation of channel's fading coefficients, while maintaining a low complexity that is similar to the simple linear interpolation. The benefits of our proposal are demonstrated by a range of numerical illustrations and simulation results. |
| doi_str_mv | 10.1109/TWC.2012.012712.101162 |
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Among the numerous CE techniques in the literature, Pilot-Assisted Channel Estimation (PACE) has been widely used in many practical systems, thanks to its simplicity and efficiency for implementation. In order to minimise pilot overhead, interpolation is typically mandatory in PACE. Conventional linear and Polar-Linear Interpolation (PLI) methods are easy to implement, but naturally result in residual interpolation errors that can not be mitigated even at high Signal-to-Noise Ratios (SNRs). In this paper, we propose a CE scheme equipped with a novel interpolation method referred to as Adaptive Polar-Linear Interpolation (APLI). The proposed APLI-aided CE scheme can achieve a good performance, thanks to its capability of adaptively tracking the instantaneous variation of channel's fading coefficients, while maintaining a low complexity that is similar to the simple linear interpolation. The benefits of our proposal are demonstrated by a range of numerical illustrations and simulation results.</description><identifier>ISSN: 1536-1276</identifier><identifier>EISSN: 1558-2248</identifier><identifier>DOI: 10.1109/TWC.2012.012712.101162</identifier><identifier>CODEN: ITWCAX</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Adaptive polar-linear interpolation ; Adaptive systems ; Applied sciences ; Channel estimation ; Channels ; Complexity theory ; Demodulation ; Detection, estimation, filtering, equalization, prediction ; Estimation ; Exact sciences and technology ; Fading ; Information, signal and communications theory ; Interpolation ; Modulation, demodulation ; origin shifting ; polar rotation route selection ; Proposals ; quadrant-based phase adaptation ; Signal and communications theory ; Signal to noise ratio ; Signal, noise ; Simulation ; Studies ; Systems, networks and services of telecommunications ; Telecommunications ; Telecommunications and information theory ; Transmission and modulation (techniques and equipments) ; Wireless communication ; Wireless communication systems</subject><ispartof>IEEE transactions on wireless communications, 2012-03, Vol.11 (3), p.920-926</ispartof><rights>2015 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Mar 2012</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c365t-4b10c6a80a1ea2517681626241e3f383545769743487e85d920fc59960ec88e63</citedby><cites>FETCH-LOGICAL-c365t-4b10c6a80a1ea2517681626241e3f383545769743487e85d920fc59960ec88e63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6144760$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27923,27924,54757</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6144760$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25639646$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Jiang, Ming</creatorcontrib><creatorcontrib>Huang, Siji</creatorcontrib><creatorcontrib>Wen, Wenkun</creatorcontrib><title>Adaptive Polar-Linear Interpolation Aided Channel Estimation for Wireless Communication Systems</title><title>IEEE transactions on wireless communications</title><addtitle>TWC</addtitle><description>Channel Estimation (CE) is one of the key components in wireless communication systems employing coherent demodulation and interference cancellation. Among the numerous CE techniques in the literature, Pilot-Assisted Channel Estimation (PACE) has been widely used in many practical systems, thanks to its simplicity and efficiency for implementation. In order to minimise pilot overhead, interpolation is typically mandatory in PACE. Conventional linear and Polar-Linear Interpolation (PLI) methods are easy to implement, but naturally result in residual interpolation errors that can not be mitigated even at high Signal-to-Noise Ratios (SNRs). In this paper, we propose a CE scheme equipped with a novel interpolation method referred to as Adaptive Polar-Linear Interpolation (APLI). The proposed APLI-aided CE scheme can achieve a good performance, thanks to its capability of adaptively tracking the instantaneous variation of channel's fading coefficients, while maintaining a low complexity that is similar to the simple linear interpolation. The benefits of our proposal are demonstrated by a range of numerical illustrations and simulation results.</description><subject>Adaptive polar-linear interpolation</subject><subject>Adaptive systems</subject><subject>Applied sciences</subject><subject>Channel estimation</subject><subject>Channels</subject><subject>Complexity theory</subject><subject>Demodulation</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>Estimation</subject><subject>Exact sciences and technology</subject><subject>Fading</subject><subject>Information, signal and communications theory</subject><subject>Interpolation</subject><subject>Modulation, demodulation</subject><subject>origin shifting</subject><subject>polar rotation route selection</subject><subject>Proposals</subject><subject>quadrant-based phase adaptation</subject><subject>Signal and communications theory</subject><subject>Signal to noise ratio</subject><subject>Signal, noise</subject><subject>Simulation</subject><subject>Studies</subject><subject>Systems, networks and services of telecommunications</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Transmission and modulation (techniques and equipments)</subject><subject>Wireless communication</subject><subject>Wireless communication systems</subject><issn>1536-1276</issn><issn>1558-2248</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkE9LAzEQxRdRsFY_gSCLIHjZmv-bHMtStVBQsNJjiOkspuxma7IV-u1N2dKDhzBh3pvHzC_L7jCaYIzU03JVTQjCZJJemQpGGAtylo0w57IghMnzw5-KIuniMruKcYMQLgXno0xP12bbu1_I37vGhGLhPJiQz30PYZs6vet8PnVrWOfVt_EemnwWe9cOQt2FfOUCNBBjXnVtu_PODtLHPvbQxuvsojZNhJtjHWefz7Nl9Vos3l7m1XRRWCp4X7AvjKwwEhkMhvC0nEw3CMIw0JpKyhkvhSoZZbIEydeKoNpypQQCKyUIOs4eh9xt6H52EHvdumihaYyHbhd1gqIER5ypZL3_Z910u-DTdlolQCVHpUwmMZhs6GIMUOttSFeHfUrSB-w6YdcH7HrArgfsafDhmG6iNU0djLcunqYJF1QJdlj4dvA5ADjJAjNWCkT_AEpYigk</recordid><startdate>20120301</startdate><enddate>20120301</enddate><creator>Jiang, Ming</creator><creator>Huang, Siji</creator><creator>Wen, Wenkun</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</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>F28</scope><scope>FR3</scope></search><sort><creationdate>20120301</creationdate><title>Adaptive Polar-Linear Interpolation Aided Channel Estimation for Wireless Communication Systems</title><author>Jiang, Ming ; Huang, Siji ; Wen, Wenkun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c365t-4b10c6a80a1ea2517681626241e3f383545769743487e85d920fc59960ec88e63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adaptive polar-linear interpolation</topic><topic>Adaptive systems</topic><topic>Applied sciences</topic><topic>Channel estimation</topic><topic>Channels</topic><topic>Complexity theory</topic><topic>Demodulation</topic><topic>Detection, estimation, filtering, equalization, prediction</topic><topic>Estimation</topic><topic>Exact sciences and technology</topic><topic>Fading</topic><topic>Information, signal and communications theory</topic><topic>Interpolation</topic><topic>Modulation, demodulation</topic><topic>origin shifting</topic><topic>polar rotation route selection</topic><topic>Proposals</topic><topic>quadrant-based phase adaptation</topic><topic>Signal and communications theory</topic><topic>Signal to noise ratio</topic><topic>Signal, noise</topic><topic>Simulation</topic><topic>Studies</topic><topic>Systems, networks and services of telecommunications</topic><topic>Telecommunications</topic><topic>Telecommunications and information theory</topic><topic>Transmission and modulation (techniques and equipments)</topic><topic>Wireless communication</topic><topic>Wireless communication systems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jiang, Ming</creatorcontrib><creatorcontrib>Huang, Siji</creatorcontrib><creatorcontrib>Wen, Wenkun</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on wireless communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Jiang, Ming</au><au>Huang, Siji</au><au>Wen, Wenkun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adaptive Polar-Linear Interpolation Aided Channel Estimation for Wireless Communication Systems</atitle><jtitle>IEEE transactions on wireless communications</jtitle><stitle>TWC</stitle><date>2012-03-01</date><risdate>2012</risdate><volume>11</volume><issue>3</issue><spage>920</spage><epage>926</epage><pages>920-926</pages><issn>1536-1276</issn><eissn>1558-2248</eissn><coden>ITWCAX</coden><abstract>Channel Estimation (CE) is one of the key components in wireless communication systems employing coherent demodulation and interference cancellation. Among the numerous CE techniques in the literature, Pilot-Assisted Channel Estimation (PACE) has been widely used in many practical systems, thanks to its simplicity and efficiency for implementation. In order to minimise pilot overhead, interpolation is typically mandatory in PACE. Conventional linear and Polar-Linear Interpolation (PLI) methods are easy to implement, but naturally result in residual interpolation errors that can not be mitigated even at high Signal-to-Noise Ratios (SNRs). In this paper, we propose a CE scheme equipped with a novel interpolation method referred to as Adaptive Polar-Linear Interpolation (APLI). The proposed APLI-aided CE scheme can achieve a good performance, thanks to its capability of adaptively tracking the instantaneous variation of channel's fading coefficients, while maintaining a low complexity that is similar to the simple linear interpolation. The benefits of our proposal are demonstrated by a range of numerical illustrations and simulation results.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TWC.2012.012712.101162</doi><tpages>7</tpages></addata></record> |
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| subjects | Adaptive polar-linear interpolation Adaptive systems Applied sciences Channel estimation Channels Complexity theory Demodulation Detection, estimation, filtering, equalization, prediction Estimation Exact sciences and technology Fading Information, signal and communications theory Interpolation Modulation, demodulation origin shifting polar rotation route selection Proposals quadrant-based phase adaptation Signal and communications theory Signal to noise ratio Signal, noise Simulation Studies Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) Wireless communication Wireless communication systems |
| title | Adaptive Polar-Linear Interpolation Aided Channel Estimation for Wireless Communication Systems |
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