1 Ocak 2014 Dergi makalesi Açık Erişim

Basaran, Mehmet; Erkucuk, Serhat; Cirpan, Hakan Ali

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/64925</identifier>
  <creators>
    <creator>
      <creatorName>Basaran, Mehmet</creatorName>
      <givenName>Mehmet</givenName>
      <familyName>Basaran</familyName>
      <affiliation>Istanbul Tech Univ, Dept Elect &amp; Commun Engn, TR-34469 Istanbul, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Erkucuk, Serhat</creatorName>
      <givenName>Serhat</givenName>
      <familyName>Erkucuk</familyName>
      <affiliation>Kadir Has Univ, Dept Elect &amp; Elect Engn, TR-34083 Istanbul, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Cirpan, Hakan Ali</creatorName>
      <givenName>Hakan Ali</givenName>
      <familyName>Cirpan</familyName>
      <affiliation>Istanbul Tech Univ, Dept Elect &amp; Commun Engn, TR-34469 Istanbul, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Compressive Sensing For Ultra-Wideband Channel Estimation: On The Sparsity Assumption Of Ultra-Wideband Channels</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2014</publicationYear>
  <dates>
    <date dateType="Issued">2014-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/64925</alternateIdentifier>
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  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1002/dac.2548</relatedIdentifier>
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  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
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  <descriptions>
    <description descriptionType="Abstract">Due to the sparse structure of ultra-wideband (UWB) multipath channels, there has been a considerable amount of interest in applying the compressive sensing (CS) theory to UWB channel estimation. The main consideration of the related studies is to propose different implementations of the CS theory for the estimation of UWB channels, which are assumed to be sparse. In this study, we investigate the suitability of standardized UWB channel models to be used with the CS theory. In other words, we question the sparsity assumption of realistic UWB multipath channels. For that, we particularly investigate the effects of IEEE 802.15.4a UWB channel models and the selection of channel resolution both on channel estimation and system performances from a practical implementation point of view. In addition, we compare the channel estimation performance with the Cramer-Rao lower bound for various channel models and number of measurements. The study shows that although UWB channel models for residential environments (e.g., channel models CM1 and CM2) exhibit a sparse structure yielding a reasonable channel estimation performance, channel models for industrial environments (e.g., CM8) may not be treated as having a sparse structure due to multipaths arriving densely. Furthermore, it is shown that the sparsity increased by channel resolution can improve the channel estimation performance significantly at the expense of increased receiver processing. Copyright (c) 2013 John Wiley &amp;amp; Sons, Ltd.</description>
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