2009
DOI: 10.1109/tap.2009.2028591
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Efficient Wideband Electromagnetic Scattering Computation for Frequency Dependent Lossy Dielectrics Using WCAWE

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Cited by 13 publications
(7 citation statements)
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“…To fully illustrate the capability of the MDWCAWE, the frequency and angular response of the MDWCAWE compared against the MoM solution is given in Figure 3 while the associated % relative error is illustrated in Figure 4. In order to achieve a wider bandwidth, a balance must be struck between using more moments albeit at an rapidly increasing computational cost or implementing a multipoint approach where additional expansion points are placed over the frequency and angular domains [18]. The total CPU times for MWCAWE compared against the MoM in shown in Table 1, which demonstrate the capability of this approach.…”
Section: Numerical Results and Validationsmentioning
confidence: 99%
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“…To fully illustrate the capability of the MDWCAWE, the frequency and angular response of the MDWCAWE compared against the MoM solution is given in Figure 3 while the associated % relative error is illustrated in Figure 4. In order to achieve a wider bandwidth, a balance must be struck between using more moments albeit at an rapidly increasing computational cost or implementing a multipoint approach where additional expansion points are placed over the frequency and angular domains [18]. The total CPU times for MWCAWE compared against the MoM in shown in Table 1, which demonstrate the capability of this approach.…”
Section: Numerical Results and Validationsmentioning
confidence: 99%
“…Additionally, automated error controls are outlined in [17,18] that can be used to determine the number of moment required such that the approximate solution can converge to a pre-specified tolerance.…”
Section: Formulation Of the Multi-dimensional Reduced Order Modelmentioning
confidence: 99%
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“…Many model order reduction techniques such as modal expansion [16], asymptotic waveform evaluation [17,18], Padé via Lanczos model reduction [19], and the Krylov subspace method [20] have been proposed for combination with the brute force approaches to reduce the complexity of the involved models. Another numerical technique, called the reduced-basis method (RBM), was originally introduced in [21,22] whereby the approximate space, which was used to reduce the dimension of the original model obtained by brute force methods, was local and typically low-dimensional in the number of parameters.…”
Section: Introductionmentioning
confidence: 99%
“…However, these techniques are restricted to problems of relatively low frequencies and low contrast [9,10]. Algorithms based on model order reduction have, to date, been typically applied to the problem of solving scattering or circuit problems over a wide frequency range [12,13]. These techniques produce a reduced-order model which approximates the behaviour of the original system.…”
Section: Introductionmentioning
confidence: 99%