Neural network modeling of scattering parameters from a conducting post in rectangular waveguide

Manidipa Bhattacharya, B. Gupta, K. Yasumoto, Hongting Jia

    研究成果: 書籍/レポート タイプへの寄稿会議への寄与

    抄録

    Neural networks are popular as efficient alternatives to conventional computational models like numerical modeling or analytical methods for RF and Microwave modeling and design. Such models reduce both processing time and analytical complexity resulting in simpler computation process. Thus the technique has greater potential in the analysis of various problems in electromagnetism. In the present problem neural network technique has been used for non- linear modeling of the frequency response of the scattering properties of a long circular conducting cylinder in a three dimensional rectangular waveguide at X band. The scattering properties of the vertical posts are analyzed by semi analytical approach based on image theory and the scattered fields are calculated from the lattice sum and the transition matrices. Analysis results have been used to generate S parameter data for the configuration in order to train the proposed network.

    本文言語英語
    ホスト出版物のタイトルProgress in Electromagnetics Research Symposium 2008, PIERS 2008 Cambridge
    出版社Electromagnetics Academy
    ページ261-264
    ページ数4
    ISBN(印刷版)9781618390547
    出版ステータス出版済み - 2008
    イベントProgress in Electromagnetics Research Symposium 2008, PIERS 2008 Cambridge - Cambridge, MA, 米国
    継続期間: 7月 2 20087月 6 2008

    その他

    その他Progress in Electromagnetics Research Symposium 2008, PIERS 2008 Cambridge
    国/地域米国
    CityCambridge, MA
    Period7/2/087/6/08

    !!!All Science Journal Classification (ASJC) codes

    • 電子工学および電気工学
    • 電子材料、光学材料、および磁性材料

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