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Waveform Optimization for Integrated Radar and Communication Systems Using Meta-Heuristic Algorithms

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Computational Optimization and Applications in Engineering and Industry

Part of the book series: Studies in Computational Intelligence ((SCI,volume 359))

Abstract

Integration of multiple functions such as navigation and radar tasks with communication applications has attracted substantial interest in recent years. In this chapter, we therefore focus on the waveform optimization for such integrated systems based on Oppermann sequences. These sequences are defined by a number of parameters that can be chosen to design sequence sets for a wide range of performance characteristics. It will be shown that meta-heuristic algorithms are wellsuited to find the optimal parameters for these sequences. The motivation behind the use of biologically inspired heuristic and/or meta-heuristic algorithms is due to their ability to solve large, complex, and dynamic problems

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Author information

Authors and Affiliations

  1. Harman International, Automotive Division, Becker-Göring Str. 16, D-76307, Karlsbad, Germany

    Momin Jamil

  2. Blekinge Institute of Technology, SE-37179, Karlskrona, Sweden

    Hans-Jürgen Zepernick

Authors
  1. Momin Jamil
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  2. Hans-Jürgen Zepernick
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Editors and Affiliations

  1. National Physical Laboratory, Mathematics and Scientific Computing, TW11 0LW, Teddington, Middlesex, UK

    Xin-She Yang

  2. Engineering Optimization & Modeling Center, School of Science and Engineering, Reykjavik University, Menntavegur 1, 101, Reykjavik, Iceland

    Slawomir Koziel

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Jamil, M., Zepernick, HJ. (2011). Waveform Optimization for Integrated Radar and Communication Systems Using Meta-Heuristic Algorithms. In: Yang, XS., Koziel, S. (eds) Computational Optimization and Applications in Engineering and Industry. Studies in Computational Intelligence, vol 359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20986-4_7

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  • DOI: https://doi.org/10.1007/978-3-642-20986-4_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20985-7

  • Online ISBN: 978-3-642-20986-4

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