1 Ocak 2014 Dergi makalesi Açık Erişim

Senyurek, Volkan Y.; Baspinar, Ulvi; Varol, Huseyin S.

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/66051</identifier>
  <creators>
    <creator>
      <creatorName>Senyurek, Volkan Y.</creatorName>
      <givenName>Volkan Y.</givenName>
      <familyName>Senyurek</familyName>
      <affiliation>Univ Marmara, Dept Elect &amp; Comp, Fac Tech Educ, TR-34722 Istanbul, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Baspinar, Ulvi</creatorName>
      <givenName>Ulvi</givenName>
      <familyName>Baspinar</familyName>
      <affiliation>Univ Marmara, Dept Elect &amp; Comp, Fac Tech Educ, TR-34722 Istanbul, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Varol, Huseyin S.</creatorName>
      <givenName>Huseyin S.</givenName>
      <familyName>Varol</familyName>
      <affiliation>Univ Marmara, Dept Elect &amp; Comp, Fac Tech Educ, TR-34722 Istanbul, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>A Modified Adaptive Kalman Filter For Fiber Optic Gyroscope</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/66051</alternateIdentifier>
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  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.81043/aperta.66050</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.81043/aperta.66051</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>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">In this article, an adaptive Kalman filter was designed in order to filter angle' random walk (ARW) and rate random walk (RRW) noises observed in the output of the fiber optic gyroscope (FOG). Especially in case of rapid maneuvers, a new innovation approach, which is based on adaptive mechanism, has been introduced to overcome the shortcomings of conventional and innovation-based adaptive Kalman filters. Process and measurement noise covariances Q and R were estimated successfully and by using these parameters comparisons of conventional and adaptive Kalman filters were made on both real and artificial signals. The results of this study shows that the designed filter reduces ARW, RRW and flicker noises successfully.</description>
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