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  • In this paper an optimization scheme about the association of targets on multistatic radar system is discussed. The association of targets based on Probability Hypothetic Density function (PHD) is a challenging task for the parallel programming techniques. In this paper, a comparison of PHD computations between serial and optimized versions of the proposed algorithm is presented. The proposed optimized algorithm was implemented on Parallel Computing Toolbox under Matlab system
  • In this paper an optimization scheme about the association of targets on multistatic radar system is discussed. The association of targets based on Probability Hypothetic Density function (PHD) is a challenging task for the parallel programming techniques. In this paper, a comparison of PHD computations between serial and optimized versions of the proposed algorithm is presented. The proposed optimized algorithm was implemented on Parallel Computing Toolbox under Matlab system (en)
Title
  • An Optimization of a PHD function for association of targets on multistatic radar
  • An Optimization of a PHD function for association of targets on multistatic radar (en)
skos:prefLabel
  • An Optimization of a PHD function for association of targets on multistatic radar
  • An Optimization of a PHD function for association of targets on multistatic radar (en)
skos:notation
  • RIV/00216275:25530/14:39898836!RIV15-MSM-25530___
http://linked.open...avai/riv/aktivita
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  • I
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  • 2531
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  • RIV/00216275:25530/14:39898836
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  • PHD function; Multistatic radar (en)
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  • [39574E226E80]
http://linked.open...v/mistoKonaniAkce
  • Cincinnati
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  • New York
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  • 2014 IEEE Radar Conference
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  • Pidanič, Jan
  • Doleček, Radovan
  • Němec, Zdeněk
  • Shejbal, Tomáš
  • Bhattacharjiee, Ratnajit
  • Trivedi, Gaurav
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issn
  • 1097-5659
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/RADAR.2014.6875756
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  • IEEE (Institute of Electrical and Electronics Engineers)
https://schema.org/isbn
  • 978-1-4799-2034-1
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  • 25530
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