2012
DOI: 10.1002/mop.26919
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Alternative AEFIE‐EFIE method for broadband CEM simulations

Abstract: It is well known that electric field integral equation (EFIE) has the low frequency breakdown problem due to the decoupling of electric and magnetic field. Augmented electric field integral equation (AEFIE) method overcomes the low frequency breakdown. However, its performance degrades with the increasing frequency. To obtain a unified method that works for both low and high frequencies, a novel method using the EFIE complement process inside AEFIE is proposed. Numerical results demonstrated that this alternat… Show more

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Cited by 3 publications
(2 citation statements)
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“…The condition number of the resultant MoM system can be decreased effectively. However, searching loops in the complex geometry is computationally expensive [ Liu and Jiang , ]. Multiresolution (MR) function is an alternative [ Andriulli et al , ; Vipiana et al , ; Francavilla et al , ; Echeverri Bautista et al , ; Li et al , ].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The condition number of the resultant MoM system can be decreased effectively. However, searching loops in the complex geometry is computationally expensive [ Liu and Jiang , ]. Multiresolution (MR) function is an alternative [ Andriulli et al , ; Vipiana et al , ; Francavilla et al , ; Echeverri Bautista et al , ; Li et al , ].…”
Section: Introductionmentioning
confidence: 99%
“…Because MR functions are expressed as linear combination of original RWG functions, the use of MR basis amounts in practice to a transformation of the MoM matrix, which can improve the convergence of iterative methods. The new integral equations to improve the conditioning include the integral equations based on Calderon projection [ Andriulli et al , ; Christiansen and Nedelec , ], the current and charge integral equation [ Taskinen and Yla‐Oijala , ], the separated potential integral equation [ Gope et al , ], the augmented electric field integral equation [ Liu and Jiang , ; Qian and Chew , ], and etc.…”
Section: Introductionmentioning
confidence: 99%