Efficient wideband analysis of electromagnetic scattering and radiation problems

Surma, Maciej

doi:10.1109/mikon.2004.1356922

Cited by 1 publication

(3 citation statements)

References 3 publications

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“…The selection of samples is a common problem for all interpolation techniques, which determines the accuracy of approximate results and the total calculation time. Adaptive sampling algorithm has been proposed to solve the above difficulties [24][25][26][27][28][29][30][31][32]. The extended frequency points is usually selected to achieve the adaptive effect in AWE method [24][25][26].…”

Section: Introductionmentioning

confidence: 99%

“…Adaptive sampling algorithm has been proposed to solve the above difficulties [24][25][26][27][28][29][30][31][32]. The extended frequency points is usually selected to achieve the adaptive effect in AWE method [24][25][26]. A dichotomy method is proposed to select the expansion point through the midpoint in [24], and in [25] the single point and two-point AWE techniques are applied to the analysis of broadband EM problems.…”

Section: Introductionmentioning

confidence: 99%

“…The extended frequency points is usually selected to achieve the adaptive effect in AWE method [24][25][26]. A dichotomy method is proposed to select the expansion point through the midpoint in [24], and in [25] the single point and two-point AWE techniques are applied to the analysis of broadband EM problems. Multi-point AWE method is obtained by the combination of complex frequency hopping (CFH) technology in [26].…”

Section: Introductionmentioning

confidence: 99%

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Combination of Dual-Model-Base Adaptive Sampling Algorithm and Adaptive Cross Approximation for Fast Computation of Broadband RCS

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Xi³

et al. 2022

PIER M

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In this paper, a dual-model based adaptive sampling method is proposed for the fast calculation of broadband electromagnetic scattering. The difference between the rational function model (RFM) and cubic-spline (CS) based polynomial model is used to generate new frequency samples adaptively. Then, the cubic Hermite interpolation is used to approximate the final broadband RCS curve. The radar cross section (RCS) at each frequency sample is computed by the method of moment (MoM) which is accelerated by the adaptive cross approximation (ACA). Numerical results demonstrate that the proposed method is able to obtain the broadband RCS curve with high accuracy and reduce the computation time significantly. Compared with the method of moment and adaptive cross approximation method, the adaptive algorithm improves the computational efficiency by 77.13% in the sphere case, 83.79% in the rail model, and nearly 90.72% in the missile example. In addition, the method proposed in this paper has the characteristics of nonuniform sampling and strong applicability and flexibility, which is able to combine other matrix compressed methods to effectively solve problems in electromagnetic field.

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