RF integrated inductor modeling and its application to optimization-based design

Pereira, Pedro; Fino, M. Helena; Coito, Fernando; Neves, Mário Ventim

doi:10.1007/s10470-011-9682-x

Cited by 14 publications

(12 citation statements)

References 16 publications

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“…The set of working examples were obtained through an automatic sizing tool that supports the design of integrated inductors using the double π-model (for more details please see [25]). Then, a hybrid methodology was adopted for the evaluation of the overall sensitivities of the inductor quality factor on the geometrical/technological parameters.…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, a fully symbolic characterization is also not easily generated and a semi-symbolic approach is considered in order to evaluate both the inductance and the quality factor. Thus, circuit analysis is needed, such as Kirchhoff's laws and electromagnetic induction theory, for obtaining the value of the input impedance of the one port equivalent circuit, and then the inductance (L) and the quality factor (Q) can be calculated [25]. Since, no single analytical expression can be derived for equivalent inductance or quality factor using this model, the sensitivity analysis must entail a numerical approximation.…”

Section: Hybrid Sensitivity Analysis For the Double π-Modelmentioning

confidence: 99%

“…In this section, the sensitivity analysis applied to a set of solutions, obtained with a multiobjective optimization design methodology [25], will be performed. The optimization design has two simultaneous objectives:…”

Section: Analysis Of the Sensitivity To Parameter Variationmentioning

confidence: 99%

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A hybrid approach for the sensitivity analysis of integrated inductors

et al. 2016

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Section: Discussionmentioning

confidence: 99%

Section: Hybrid Sensitivity Analysis For the Double π-Modelmentioning

confidence: 99%

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A hybrid approach for the sensitivity analysis of integrated inductors

et al. 2016

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“…4, is adopted. Albeit, the authors have been working in a more complex inductor model [18], for the clarity of exposure concerning circuit sensitivity analysis, the inductor pi-model enables a better acquaintance on the subject.…”

Section: Inductor Characterizationmentioning

confidence: 99%

Optimization-Based Design of Nano-CMOS LC-VCOs

Pereira

Fino

Coito

et al. 2012

Technological Innovation for Value Creation

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Abstract. This paper introduces a variability-aware methodology for the design of LC-VCOs in Nano-CMOS technologies. The complexity of the design as well as the necessity for having an environment offering the possibility for exploring design trade-offs has led to the development of design methodologies based multi-objective optimization procedures yielding the generation of Pareto-optimal surfaces. The efficiency of the process is granted by using analytical models for both passive and active devices. Although physics-based analytical expressions have been proposed for the evaluation of the lumped elements, the variability of the process parameters is usually ignored due to the difficulty to formalize it into an optimization performance index. The usually adopted methodology of considering only optimum solutions for the Pareto surface, may lead to pruning quasi-optimal solutions that may prove to be better, should their sensitivity to process parameter variation be accounted for. In this work we propose starting by generating an extended Pareto surface where both optimum and quasi-optimum solutions are considered. Finally information on the sensitivity to process parameter variations, is used for electing the best design solution.

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“…For the inductor the 2-π model [15][16] is used in the in-loop optimisation simulation based tool in order to highlight potentialities and performances of the proposed tool and to show the real effect of parasitics of inductors. An LC-VCO circuit is considered as an application example.…”

Section: Introductionmentioning

confidence: 99%

A Multi-objective Simulation Based Tool: Application to the Design of High Performance LC-VCOs

Sallem¹,

Pereira²,

Fakhfakh³

et al. 2013

IFIP Advances in Information and Communication Technology

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Abstract. The continuing size reduction of electronic devices imposes design challenges to optimize the performances of modern electronic systems, such as: wireless services, telecom and mobile computing. Fortunately, those design challenges can be overcome thanks to the development of Electronic Design Automation (EDA) tools. In the analog, mixed signal and radio-frequency (AMS/RF) domains, circuit optimization tools have demonstrated their usefulness in addressing design problems taking into account downscaling technological aspects. Recent advances in EDA have shown that the simulationbased sizing technique is a very interesting solution to the 'complex' modelling task in the circuit design optimization problem. In this paper we propose a multi-objective simulation-based optimization tool. A CMOS LC-VCO circuit is presented to show the viability of this tool. The tool is used to generate the Pareto front linking two conflicting objectives, namely the VCO Phase Noise and Power Consumption. The accuracy of the results is checked against HSPICE/RF simulations.

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RF integrated inductor modeling and its application to optimization-based design

Cited by 14 publications

References 16 publications

A hybrid approach for the sensitivity analysis of integrated inductors

A hybrid approach for the sensitivity analysis of integrated inductors

Optimization-Based Design of Nano-CMOS LC-VCOs

A Multi-objective Simulation Based Tool: Application to the Design of High Performance LC-VCOs

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