2016
DOI: 10.1109/tmtt.2016.2549520
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Lumped-Element Equivalent-Circuit Modeling of Millimeter-Wave HEMT Parasitics Through Full-Wave Electromagnetic Analysis

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Cited by 38 publications
(41 citation statements)
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“…The parasitic network contains 2‐stage inductance and capacitance branches in Figure , which accounts distribution effects of electrodes, represented by N = 1 and N = 2. When there is only N = 1 branch, the model is similar with conventional simplified model . The values of the parasitic capacitance and inductance can be obtained uniquely and directly according to the proposed procedure, which is shown in Figure .…”
Section: Parasitic Parameter Extraction Methodsmentioning
confidence: 99%
See 3 more Smart Citations
“…The parasitic network contains 2‐stage inductance and capacitance branches in Figure , which accounts distribution effects of electrodes, represented by N = 1 and N = 2. When there is only N = 1 branch, the model is similar with conventional simplified model . The values of the parasitic capacitance and inductance can be obtained uniquely and directly according to the proposed procedure, which is shown in Figure .…”
Section: Parasitic Parameter Extraction Methodsmentioning
confidence: 99%
“…When there is only N = 1 branch, the model is similar with conventional simplified model. [11][12][13][14][15][16][17] The values of the parasitic capacitance and inductance can be obtained uniquely and directly according to the proposed procedure, which is shown in Figure 3. Figure 4A shows the gate and drain electrodes pad layout of 2 × 80 μm device, and its equivalent circuit is also presented in Figure 4B The S-parameters of this structure is simulated by using full-wave electromagnetic using Ansys HFSS.…”
Section: Parasitic Parameter Extraction Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…Therefore, ANNs are widely used also for modeling and predicting the scattering (S-) parameters of microwave field-effect transistors (FETs). 7,8,11,13,18,[40][41][42][43][44][45][46][47][48][49] The main advantage of an ANN-based FET model is that, because of the "black-box" nature of ANN models, the S-parameters can be straightforwardly and accurately reproduced without requiring the extraction of an equivalent-circuit model [50][51][52][53][54][55][56][57][58][59][60][61][62][63][64][65][66][67][68] or a detailed knowledge of the FET physics. [69][70][71][72][73] As a matter of fact, by exploiting ANNs, it is possible mathematically describe the observable inputoutput relationships.…”
Section: Introductionmentioning
confidence: 99%