2017
DOI: 10.1016/j.vlsi.2017.01.009
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An inductor modeling and optimization toolbox for RF circuit design

Abstract: This paper describes the SIDe-O toolbox and the support it can provide to the radio-frequency designer. SIDe-O is a computer-aided design toolbox developed for the design of integrated inductors based on surrogate modeling techniques and the usage of evolutionary optimization algorithms. The models used feature less than 1% error when compared to electromagnetic simulations while reducing the simulation time by several orders of magnitude. Furthermore, the tool allows the creation of S-parameter files that acc… Show more

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Cited by 15 publications
(5 citation statements)
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“…Hence, we use a state-ofthe-art ML technique to model inductors [28]. It is a MATLAB toolbox (SIDe-O), which allows the designer to perform inductor design and optimization within milliseconds [29]. The model achieves less than 1% error compared to EM simulations and does not impact the accuracy of the inductor design.…”
Section: B Lowest Hierarchy Level: Passive Devicesmentioning
confidence: 99%
See 1 more Smart Citation
“…Hence, we use a state-ofthe-art ML technique to model inductors [28]. It is a MATLAB toolbox (SIDe-O), which allows the designer to perform inductor design and optimization within milliseconds [29]. The model achieves less than 1% error compared to EM simulations and does not impact the accuracy of the inductor design.…”
Section: B Lowest Hierarchy Level: Passive Devicesmentioning
confidence: 99%
“…The model achieves less than 1% error compared to EM simulations and does not impact the accuracy of the inductor design. We follow the approach in [29], and the passive component design is considered an additional level of the hierarchy.…”
Section: B Lowest Hierarchy Level: Passive Devicesmentioning
confidence: 99%
“…3(a), using the geometric parameters of the data samples, i.e., inner diameter, number of turns and turn width, are performed. Afterwards, the EM simulation results are used to train the surrogate structure that models the complete inductor search space using the setup proposed in [31], and illustrated in Fig. 2(a).…”
Section: A Integrated Inductor Designmentioning
confidence: 99%
“…In this work, the accuracy and efficiency of surrogate modeling approaches is exploited. Therefore, in order to generate the inductor POF, SIDe-O is used [13]. This toolbox is based on surrogate models that allow an accurate characterization with less than 1% error when compared with EM simulations [14].…”
Section: Inductor Pof Generationmentioning
confidence: 99%