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

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

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    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.

    Original languageEnglish
    Title of host publicationProgress in Electromagnetics Research Symposium 2008, PIERS 2008 Cambridge
    PublisherElectromagnetics Academy
    Pages261-264
    Number of pages4
    ISBN (Print)9781618390547
    Publication statusPublished - 2008
    EventProgress in Electromagnetics Research Symposium 2008, PIERS 2008 Cambridge - Cambridge, MA, United States
    Duration: Jul 2 2008Jul 6 2008

    Other

    OtherProgress in Electromagnetics Research Symposium 2008, PIERS 2008 Cambridge
    CountryUnited States
    CityCambridge, MA
    Period7/2/087/6/08

    All Science Journal Classification (ASJC) codes

    • Electrical and Electronic Engineering
    • Electronic, Optical and Magnetic Materials

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