Adaptive Integral Method for Higher Order Method of Moments

Oleksiy S. Kim, Peter Meincke

    Research output: Contribution to journalJournal articleResearchpeer-review

    613 Downloads (Pure)

    Abstract

    The adaptive integral method (AIM) is combined with the higher order method of moments (MoM) to solve integral equations. The technique takes advantage of the low computational complexity and memory requirements of the AIM and the reduced number of unknowns and higher order convergence of higher order basis functions. The classical AIM is appropriately modified to allow larger discretization elements and, consequently, higher basis function expansion orders. Numerical examples based on the higher order hierarchical Legendre basis functions show the advantages of the proposed technique over the classical AIM based on low-order basis functions in terms of memory and computational time.
    Original languageEnglish
    JournalI E E E Transactions on Antennas and Propagation
    Volume56
    Issue number8
    Pages (from-to)2298-2305
    ISSN0018-926X
    DOIs
    Publication statusPublished - 2008

    Bibliographical note

    Copyright: 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

    Fingerprint

    Dive into the research topics of 'Adaptive Integral Method for Higher Order Method of Moments'. Together they form a unique fingerprint.

    Cite this