Channel estimation methods for diversity and MIMO in LR-WPAN systems
MIMO and diversity techniques can increase data rates or robustness against transmission errors in low rate wireless personal area networks (LR-WPAN). These techniques require knowledge of the channels, which is preferably obtained from the received preamble of the physical layer data packet. This p...
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description | MIMO and diversity techniques can increase data rates or robustness against transmission errors in low rate wireless personal area networks (LR-WPAN). These techniques require knowledge of the channels, which is preferably obtained from the received preamble of the physical layer data packet. This paper compares the performance and complexity of training sequence based channel estimation methods. Three methods, based on m-sequences and Hadamard matrices are proposed and compared with respect to performance and hardware complexity. |
doi_str_mv | 10.1109/ICCE.2010.5418961 |
format | Conference Proceeding |
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These techniques require knowledge of the channels, which is preferably obtained from the received preamble of the physical layer data packet. This paper compares the performance and complexity of training sequence based channel estimation methods. 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These techniques require knowledge of the channels, which is preferably obtained from the received preamble of the physical layer data packet. This paper compares the performance and complexity of training sequence based channel estimation methods. Three methods, based on m-sequences and Hadamard matrices are proposed and compared with respect to performance and hardware complexity.</description><subject>Channel estimation</subject><subject>Diversity methods</subject><subject>equalisation</subject><subject>Error correction</subject><subject>Error correction codes</subject><subject>Fading</subject><subject>Hardware</subject><subject>LR-WPAN</subject><subject>MIMO</subject><subject>Physical layer</subject><subject>Robustness</subject><subject>Transmitters</subject><issn>2158-3994</issn><issn>2158-4001</issn><isbn>9781424443147</isbn><isbn>1424443148</isbn><isbn>1424443164</isbn><isbn>9781424443161</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1UG1LwzAYjC8D59wPEL_kD3TmSZ6kycdRpxY6JzLw48japyyyttIUYf9-Q-d9Oe4OjuMYuwcxAxDuMc-yxUyKk9QI1hm4YLeAEhEVGLxkYwnaJigEXLGpS-1_hun1OVPO4YiNLSbm179h0xi_xAmopbHpmD1lO9-2tOcUh9D4IXQtb2jYdVXkddfzKvxQH8Nw4L6t-DJfrnhoefGRfL7P33g8xIGaeMdGtd9Hmp55wtbPi3X2mhSrlzybF0lwYkjKUhtFaMCSTw2WSmntrfQIdUlb2gpTOWHRkyu1QKpScOCll7XwWqca1IQ9_NUGItp896e9_WFz_kYdAcG7UAk</recordid><startdate>201001</startdate><enddate>201001</enddate><creator>Huhn, A.</creator><creator>Schwetlick, H.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201001</creationdate><title>Channel estimation methods for diversity and MIMO in LR-WPAN systems</title><author>Huhn, A. ; Schwetlick, H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-cc563e4618ea764c3355a82a41fcebeb06d9084ae9c504ed7191a2a2f0a557513</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Channel estimation</topic><topic>Diversity methods</topic><topic>equalisation</topic><topic>Error correction</topic><topic>Error correction codes</topic><topic>Fading</topic><topic>Hardware</topic><topic>LR-WPAN</topic><topic>MIMO</topic><topic>Physical layer</topic><topic>Robustness</topic><topic>Transmitters</topic><toplevel>online_resources</toplevel><creatorcontrib>Huhn, A.</creatorcontrib><creatorcontrib>Schwetlick, H.</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></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Huhn, A.</au><au>Schwetlick, H.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Channel estimation methods for diversity and MIMO in LR-WPAN systems</atitle><btitle>2010 Digest of Technical Papers International Conference on Consumer Electronics (ICCE)</btitle><stitle>ICCE</stitle><date>2010-01</date><risdate>2010</risdate><spage>223</spage><epage>224</epage><pages>223-224</pages><issn>2158-3994</issn><eissn>2158-4001</eissn><isbn>9781424443147</isbn><isbn>1424443148</isbn><eisbn>1424443164</eisbn><eisbn>9781424443161</eisbn><abstract>MIMO and diversity techniques can increase data rates or robustness against transmission errors in low rate wireless personal area networks (LR-WPAN). These techniques require knowledge of the channels, which is preferably obtained from the received preamble of the physical layer data packet. This paper compares the performance and complexity of training sequence based channel estimation methods. Three methods, based on m-sequences and Hadamard matrices are proposed and compared with respect to performance and hardware complexity.</abstract><pub>IEEE</pub><doi>10.1109/ICCE.2010.5418961</doi><tpages>2</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Channel estimation Diversity methods equalisation Error correction Error correction codes Fading Hardware LR-WPAN MIMO Physical layer Robustness Transmitters |
title | Channel estimation methods for diversity and MIMO in LR-WPAN systems |
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