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International Conference on Knowledge Science, Engineering and Management

KSEM 2010: Knowledge Science, Engineering and Management pp 573–578Cite as

Knowledge Based Systems and Metacognition in Radar

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6291))

Abstract

An airborne ground looking radar sensor’s performance may be enhanced by selecting algorithms adaptively as the environment changes. A short description of an airborne intelligent radar system (AIRS) is presented with a description of the knowledge based filter and detection portions. A second level of artificial intelligence (AI) processing is presented that monitors, tests, and learns how to improve and control the first level. This approach is based upon metacognition, a way forward for developing knowledge based systems.

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References

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Author information

Authors and Affiliations

  1. Capraro Technologies, Inc., 2118 Beechgrove Place, Utica, NY, 13501, USA

    Gerard T. Capraro

  2. Air Force Research Laboratory Sensors Directorate, 26 Electronic Parkway Rome, NY, 13441, USA

    Michael C. Wicks

Authors
  1. Gerard T. Capraro
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  2. Michael C. Wicks
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Editor information

Editors and Affiliations

  1. School of Computing and Mathematics, University of Ulster, Newtownabbey, Co. Antrim, BT37 0QB, UK

    Yaxin Bi

  2. Innovation and Technology Research Laboratory, University of Technology, 2007, Sydney, NSW, Australia

    Mary-Anne Williams

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© 2010 Springer-Verlag Berlin Heidelberg

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Capraro, G.T., Wicks, M.C. (2010). Knowledge Based Systems and Metacognition in Radar. In: Bi, Y., Williams, MA. (eds) Knowledge Science, Engineering and Management. KSEM 2010. Lecture Notes in Computer Science(), vol 6291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15280-1_54

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  • DOI: https://doi.org/10.1007/978-3-642-15280-1_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15279-5

  • Online ISBN: 978-3-642-15280-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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