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The Synthesis and Design of Communication Antennas Using Genetic Algorithms

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Book cover Soft Computing in Communications

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 136))

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Abstract

This chapter discusses the design and optimization of communication antenna arrays through genetic algorithms. A genetic algorithm approach to communication antenna design is presented by considering two different applications of array synthesis. The first application will investigate a method of creating thinned aperiodic linear phased arrays that will have suppressed grating lobes with increased scan angles. In addition, the genetic algorithm will place restrictions on the driving point impedance of each array element so that they are well behaved during scanning. The second application involves using a domaindecomposition / reciprocity procedure in conjunction with genetic algorithms to design microstrip patch antenna arrays mounted on an arbitrarily-shaped threedimensional metallic platform, such as a base station tower. In this application a genetic algorithm synthesis procedure is introduced that is capable of determining the optimal set of element excitation phases required to yield a desired or specified far-field radiation pattern.

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Authors and Affiliations

  1. Department of Electrical Engineering, Pennsylvania State University, University Park, PA, 16802, USA

    Douglas H. Werner, Matthew G. Bray & Pingjuan L. Werner

  2. The Applied Research Laboratory, Pennsylvania State University, State College, PA, 16804, USA

    Douglas H. Werner & Rene J. Allard

Authors
  1. Douglas H. Werner
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  2. Matthew G. Bray
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  3. Rene J. Allard
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  4. Pingjuan L. Werner
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© 2004 Springer-Verlag Berlin Heidelberg

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Werner, D.H., Bray, M.G., Allard, R.J., Werner, P.L. (2004). The Synthesis and Design of Communication Antennas Using Genetic Algorithms. In: Soft Computing in Communications. Studies in Fuzziness and Soft Computing, vol 136. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45090-0_11

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  • DOI: https://doi.org/10.1007/978-3-540-45090-0_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53623-6

  • Online ISBN: 978-3-540-45090-0

  • eBook Packages: Springer Book Archive

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