2013
DOI: 10.1109/tap.2013.2279423
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Fundamentals of Thin-Wire Integral Equations With the Finite-Gap Generator—Part I

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Cited by 11 publications
(24 citation statements)
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“…Recent studies have revealed that numerical methods applied to Hallén's and Pocklington's equations 1 with the approximate kernel yield current distributions corrupted by unphysical oscillations near the ends of the antenna and possibly near the driving point, depending on the type of the driving source [1][2][3][4][5][6][7][8][9]. These oscillations have been associated with the nonsolvability 2 of the underlying integral equations and occur when the number of basis functions becomes sufficiently larger than the length-to-diameter ratio of the wire antenna (the usual criterion of number of basis functions or points per wavelength is not relevant here).…”
Section: Introductionmentioning
confidence: 99%
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“…Recent studies have revealed that numerical methods applied to Hallén's and Pocklington's equations 1 with the approximate kernel yield current distributions corrupted by unphysical oscillations near the ends of the antenna and possibly near the driving point, depending on the type of the driving source [1][2][3][4][5][6][7][8][9]. These oscillations have been associated with the nonsolvability 2 of the underlying integral equations and occur when the number of basis functions becomes sufficiently larger than the length-to-diameter ratio of the wire antenna (the usual criterion of number of basis functions or points per wavelength is not relevant here).…”
Section: Introductionmentioning
confidence: 99%
“…These oscillations have been associated with the nonsolvability 2 of the underlying integral equations and occur when the number of basis functions becomes sufficiently larger than the length-to-diameter ratio of the wire antenna (the usual criterion of number of basis functions or points per wavelength is not relevant here). It is stressed that the said oscillations should not be blamed on finite computer wordlength or matrix ill-conditioning effects, which are also important but separate [1][2][3][4][5][6][7][8][9]. Matrix ill-conditioning effects occur when small perturbations (due to roundoff, errors in numerical integrations etc.)…”
Section: Introductionmentioning
confidence: 99%
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