Physical vs. surrogate models of passive RF devices

Passos, Fábio; Kotti, Mouna; Gonzalez-Echevarria, R.; Fino, M. Helena; Fakhfakh, Mourad; Roca, E.; Castro-López, R.; Fernandez, F.V.

doi:10.1109/iscas.2015.7168584

Cited by 13 publications

(14 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The geometry of this planar spiral inductor is usually defined by four geometric parameters: number of turns (N), the inner diameter (D in ), the turn width (W) and the spacing between turns (S). Several different modeling strategies were considered for the accurate modeling of integrated inductors [10]. However, the most accurate strategy, which is used in SIDe-O, is discussed in detail in [14].…”

Section: Inductor Pof Generationmentioning

confidence: 99%

See 1 more Smart Citation

Enhanced systematic design of a voltage controlled oscillator using a two-step optimization methodology

et al. 2018

Self Cite

View full text Add to dashboard Cite

In this paper a design strategy based on bottomup design methodologies is used in order to systematically design a voltage controlled oscillator. The methodology uses two computer-aided design tools: AIDA, a multi-objective multiconstraint circuit optimization tool, and SIDe-O, a tool that characterizes and optimizes integrated inductors with high accuracy (around 1% when compared to electromagnetic simulations). By using such tools, the difficult trade-offs inherent to radio-frequency circuits can be explored efficiently and accurately. Furthermore, with the capability that AIDA has at considering process parameter variations during the optimization, the resulting methodology is able to obtain truly robust circuit designs.

show abstract

Section: Inductor Pof Generationmentioning

confidence: 99%

“…Alternately, lumped-element models (e.g., the -model [8]) relating performance parameters with the inductor geometric parameters can provide a wide range of inductor choices on a reasonably efficient evaluation time-cost. Unfortunately, these models are not entirely accurate, especially at high frequencies [10].…”

Section: Introductionmentioning

confidence: 99%

Enhanced systematic design of a voltage controlled oscillator using a two-step optimization methodology

et al. 2018

Self Cite

View full text Add to dashboard Cite

show abstract

“…Therefore, an approximate model of the outcome is used instead. In this work a new tailored surrogate modeling strategy is used explicitly for integrated inductors [6]. Using this strategy, two sets of surrogate models were developed.…”

Section: Modeling Strategymentioning

confidence: 99%

“…), and one for each frequency point. This strategy increases the overall accuracy and efficiency of the model [6]. Surrogate models based on Gaussian processes assume continuity: if an input variable changes by a small quantity, the output varies smoothly.…”

Section: )mentioning

confidence: 99%

See 1 more Smart Citation

An inductor modeling and optimization toolbox for RF circuit design

et al. 2017

Self Cite

View full text Add to dashboard Cite

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 accurately describe the behavior of inductors for a given range of frequencies, which can later be used in SPICE-like simulations for circuit design in commercial environments. This toolbox provides a solution to the problem of accurately and efficiently optimizing inductors, which alleviates the bottleneck that these devices represent in the radio-frequency circuit design process.

show abstract

A two-step surrogate modeling strategy for single-objective and multi-objective optimization of radiofrequency circuits

et al. 2018

Self Cite

View full text Add to dashboard Cite

The knowledge-intensive radiofrequency circuit design and the scarce design automation support play against the increasingly stringent time-to-market demands. Optimization algorithms are starting to play a crucial role; however, their effectiveness is dramatically limited by the accuracy of the evaluation functions of objectives and constraints. Accurate performance evaluation of radiofrequency passive elements e.g., inductors, is provided by electromagnetic simulators but their computational cost make their use within iterative optimization loops unaffordable. Surrogate modeling strategies, e.g., Kriging, support vector machines, artificial neural networks, etc, arise as a promising modeling alternative. However, their limited accuracy in this kind of applications has prevented a widespread use. In this paper, inductor performance properties are exploited to develop a two-step surrogate modeling strategy in order to evaluate the behavior of inductors with high efficiency and accuracy. An automated design flow for radio-frequency circuits using this surrogate modeling of passive components is presented. The methodology couples a circuit simulator with evolutionary computation algorithms such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA) or Non-Dominated Sorting Genetic Algorithm (NSGA-II). This methodology ensures optimal performances within short computation times by avoiding electromagnetic simulations of inductors during the entire optimization process and using a surrogate model that has less than 1% error in inductance and quality factor when compared against electromagnetic simulations. Numerous real-life experiments of single-objective and multi-objective low-noise amplifier design demonstrate the accuracy and efficiency of the proposed strategies.

show abstract

Physical vs. surrogate models of passive RF devices

Cited by 13 publications

References 7 publications

Enhanced systematic design of a voltage controlled oscillator using a two-step optimization methodology

Enhanced systematic design of a voltage controlled oscillator using a two-step optimization methodology

An inductor modeling and optimization toolbox for RF circuit design

A two-step surrogate modeling strategy for single-objective and multi-objective optimization of radiofrequency circuits

Contact Info

Product

Resources

About