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    Application of Genetic Algorithms to Transmit Code Problem of Synthetic Aperture Radar

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    Agah_ApertureRadar.pdf (720.9Kb)
    Issue Date
    2009
    Author
    Soto, Fernando Palacios
    Stiles, James Marion
    Agah, Arvin
    Publisher
    De Gruyter
    Type
    Article
    Article Version
    Scholarly/refereed, publisher version
    Metadata
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    Abstract
    This paper presents the design and. development of a genetic algorithm to compute an upper bound to evaluate a formal algorithm developed to solve the transmit code problem of Synthetic Aperture Radar (SAR). The input to the genetic algorithm is a set of propagation matrices that contain virtual information of the transformation of a signal transmitted and received by a SAR. The output is an upper bound approximately 11 times smaller than the results provided by the formal algorithm. The contributions of this paper are twofold: the upper bound found for the transmit code problem, and a tool that can be used for further research in similar domains.
    Description
    This is the published version. Copyright De Gruyter
    URI
    http://hdl.handle.net/1808/19811
    DOI
    https://doi.org/10.1515/JISYS.2009.18.1-2.105
    Collections
    • Electrical Engineering and Computer Science Scholarly Works [288]
    Citation
    Soto, Fernando Palacios, James M. Stiles, and Arvin Agah. "Application of Genetic Algorithms to Transmit Code Problem of Synthetic Aperture Radar." Journal of Intelligent Systems 18.1-2 (2009): n. pag. http://dx.doi.org/10.1515/JISYS.2009.18.1-2.105.

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    785-864-8983

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    Lawrence, KS 66045
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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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