February 29, 2020 Journal article Open Access

Pramil; Prateek; Parashuram

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  <identifier identifierType="URL">https://zenodo.org/record/5595627</identifier>
  <creators>
    <creator>
      <creatorName>Pramil</creatorName>
      <affiliation>EC Department, RNTU, Bhopal,</affiliation>
    </creator>
    <creator>
      <creatorName>Prateek</creatorName>
      <affiliation>EC Department, RNTU, Bhopal,</affiliation>
    </creator>
    <creator>
      <creatorName>Parashuram</creatorName>
      <affiliation>EC Department, RNTU, Bhopal,</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Band Pass Semi-Adaptive Digital Filters for  Radar Applications</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>Digital filter, Field Programmable Gate Arrays (FPGA) MATLAB software and XILINX software, SPARTAN-3E, DSP Chips.</subject>
    <subject subjectScheme="issn">2249-8958</subject>
    <subject subjectScheme="handle">C5017029320/2020©BEIESP</subject>
  </subjects>
  <contributors>
    <contributor contributorType="Sponsor">
      <contributorName>Blue Eyes Intelligence Engineering  &amp; Sciences Publication (BEIESP)</contributorName>
      <affiliation>Publisher</affiliation>
    </contributor>
  </contributors>
  <dates>
    <date dateType="Issued">2020-02-29</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="JournalArticle"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/5595627</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="ISSN" relationType="IsCitedBy" resourceTypeGeneral="JournalArticle">2249-8958</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.35940/ijeat.C5017.029320</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This paper demonstrates the Digital semi Adaptive Filter which is applied to Radar signals to reduce the blast. Semi Adaptive filter has the strong anti-noise ability; it can also achieve accurate Radar Signal in a very noisy situation. The clatter removing application of the semi Adaptive Filter has been used in spectrum cleaning of the atmospheric radar signals. The object of this work is to plan and recital assessment of band pass Bartlett and chebyshev semi adaptive filters. This design used MATLAB and XILINX software&amp;rsquo;s. FPGA hardware SPARTAN kit use for translates realistic research design. The simulation results indicate that Adaptive Filter has strong anti-noise ability for Radar. These works keeping the sampling frequency at 5 MHz were compared and analyzed, optimized evaluated for 64 orders.&lt;/p&gt;</description>
  </descriptions>
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