Adjoint sensitivity analysis of an ultrawideband antenna

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The frequency domain finite element method using H(curl)-conforming finite elements is a robust technique for full-wave analysis of antennas. As computers become more powerful, it is becoming feasible to not only predict antenna performance, but also to compute sensitivity of antenna performance with respect to multiple parameters. This sensitivity information can then be used for optimization of the design or specification of manufacturing tolerances. In this paper we review the Adjoint Method for sensitivity calculation, and apply it to the problem of optimizing a Ultrawideband antenna.

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6 p. (0.1 MB)

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Stephanson, M. B. & White, D. A. July 28, 2011.

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Description

The frequency domain finite element method using H(curl)-conforming finite elements is a robust technique for full-wave analysis of antennas. As computers become more powerful, it is becoming feasible to not only predict antenna performance, but also to compute sensitivity of antenna performance with respect to multiple parameters. This sensitivity information can then be used for optimization of the design or specification of manufacturing tolerances. In this paper we review the Adjoint Method for sensitivity calculation, and apply it to the problem of optimizing a Ultrawideband antenna.

Physical Description

6 p. (0.1 MB)

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PDF-file: 6 pages; size: 0.1 Mbytes

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  • Presented at: IEEE Antennas and Propagation Society, Toronto, Canada, Jul 11 - Jul 17, 2010

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  • Report No.: LLNL-CONF-491662
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 1022906
  • Archival Resource Key: ark:/67531/metadc835567

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Office of Scientific & Technical Information Technical Reports

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  • July 28, 2011

Added to The UNT Digital Library

  • May 19, 2016, 3:16 p.m.

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  • April 13, 2017, 6:29 p.m.

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Stephanson, M. B. & White, D. A. Adjoint sensitivity analysis of an ultrawideband antenna, article, July 28, 2011; Livermore, California. (digital.library.unt.edu/ark:/67531/metadc835567/: accessed November 20, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.