Interpolation and extrapolation capabilities of non-linear behavioural models

Saini, R.; Bell, James; Williams, T.; Lees, Jonathan; Benedikt, J.; Tasker, P.J.

doi:10.1109/arftg78.2011.6183865

Cited by 8 publications

(7 citation statements)

References 6 publications

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“…The formulation of the model is provided in [16] and [17], shown in (10) at the bottom of this page. (10) After the parameter has been introduced, the equivalences in ( 9) become (11) We then have the -dependent Padé model, as shown in (12). We choose the Padé 11/11 model as an example in this paper and assume the phase of the large incident signal is equal to 0, where (12) can be simplified to ( 13), shown at the bottom of this page.…”

Section: Basic Theory Of -Dependent Modelsmentioning

confidence: 99%

Nonlinear Behavioral Modeling Dependent on Load Reflection Coefficient Magnitude

Cai

King

Zhu

et al. 2015

IEEE Trans. Microwave Theory Techn.

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A new frequency-domain nonlinear behavioral modeling technique is presented and validated in this paper. This technique extends existing Padé and poly-harmonic distortion models by including the load reflection magnitude, , as a parameter. Although a rigorous approach requires a full 2-D load-pull model to cover the entire Smith chart, simulation and experimental evidence have shown that such a 1-D model-that retains only amplitude information of the load reflection coefficient-can give accuracy close to that of a full 2-D load-pull model. Consequently, neglecting the phase constitutes an approximation that provides large benefits without appearing to lead to a severe compromise in accuracy. Furthermore, compared with traditional load-independent models, the new -dependent models provide a major improvement in model accuracy. After a discussion of the model extraction methodology, examples are provided comparing traditional load-pull -parameter models with the model presented in this paper. The new model not only provides consistently good accuracy, but also has a much smaller model file size. Along with the examples that display the ability of the new modeling technique to predict fundamental frequency behavioral, a second harmonic example is also provided. The modeling approach is also validated using measurements results.

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Section: Basic Theory Of -Dependent Modelsmentioning

confidence: 99%

Nonlinear Behavioral Modeling Dependent on Load Reflection Coefficient Magnitude

Cai

King

Zhu

et al. 2015

IEEE Trans. Microwave Theory Techn.

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show abstract

“…Many new modeling methods have been introduced 19–29 to extend the validity range. One of these models is the Cardiff model 26–29 . It makes the PHD model dependent on both output and input large‐signal incident waves, resulting in a more general model that can be applied to a wider area of the load‐side Smith chart.…”

Section: Introductionmentioning

confidence: 99%

“…In the past few decades, a wide variety of modeling methods have been developed, including physics‐based models, 13,14 equivalent‐circuit models, 15,16 and behavioral models 17–33 . In general, the first two models are considered to be the most suitable for PA design.…”

Section: Introductionmentioning

confidence: 99%

“…[10][11][12] In the past few decades, a wide variety of modeling methods have been developed, including physics-based models, 13,14 equivalent-circuit models, 15,16 and behavioral models. [17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33] In general, the first two models are considered to be the most suitable for PA design. To represent the behavior of the intrinsic part of the transistor, they use equations in closed form.…”

mentioning

confidence: 99%

“…18 However, the validity range of the model might be limited. Many new modeling methods have been introduced [19][20][21][22][23][24][25][26][27][28][29] to extend the validity range. One of these models is the Cardiff model.…”

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confidence: 99%

See 2 more Smart Citations

DC‐bias and temperature included CSWPL model for RF power transistors

Liu,

Tang,

Crupi

et al. 2024

Int J Numerical Modelling

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A novel frequency domain behavioral modeling method for gallium‐nitride (GaN) devices is presented in this article. By utilizing a multi‐dimensional polynomial function, the proposed technique interpolates DC‐bias voltage and temperature based on the Canonical section‐wise piecewise linear (CSWPL) model framework. A detailed description of the model's theory is provided. With data from 10‐W GaN devices, the model was implemented in commercial software and validated through both DC and radio frequency (RF) tests. A robust predictive ability is demonstrated by the obtained results, thus proving the accuracy of the developed modeling method. This model is superior to the standard CSWPL model in that it is capable of predicting transistor behavior at different bias voltages and temperatures using a single set of parameters, thereby greatly reducing the complexity of the model and the time required for extraction.

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Behavioral Model of RF PAs Including Load Mismatch Effects Based on Canonical Section-wise Piecewise-Linear Function

Cai

King

2020

IEEE Access

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A new, dynamic, double-input, double-output (DIDO), wideband, dynamic, complex envelope, behavioral model for power amplifiers (PAs), accounting for load mismatch effects, is proposed and validated in this paper. The model is constructed based on two-dimensional, dynamic, canonical section-wise piecewise-linear functions (2-D DCSWPL). Compared with existing DIDO behavioral modeling methods, which are almost all exclusively based on polynomial functions, the proposed model permits a vastly extended modeling space for PAs under load mismatch conditions. Experimental examples are given to validate the proposed modeling technique with a 15 W GaN PA under a wide range of output mismatch conditions, driven by a 5 MHz LTE signal. The proposed model shows an average accuracy improvement of 2 dB when compared with the more traditional DIDO memory polynomial (MP) models. In addition, the load reflection-dependent dynamic 2-D CSWPL modeling technique for PAs under mismatch condition is also provided. Compared with load-dependent MP, load-dependent crossover MP (COMP) and load-dependent DIDO MP models, the proposed model shows superior accuracy. Thus, the proposed modeling technique is an excellent choice for the modelling of PA systems that are subject to load mismatch effects. INDEX TERMS Canonical section-wise piecewise-linear Function, dynamic modeling, load mismatch effects, nonlinear behavioral Modeling, RF PAs.

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Interpolation and extrapolation capabilities of non-linear behavioural models

Cited by 8 publications

References 6 publications

Nonlinear Behavioral Modeling Dependent on Load Reflection Coefficient Magnitude

Nonlinear Behavioral Modeling Dependent on Load Reflection Coefficient Magnitude

DC‐bias and temperature included CSWPL model for RF power transistors

Behavioral Model of RF PAs Including Load Mismatch Effects Based on Canonical Section-wise Piecewise-Linear Function

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