Reliable procedure for electrical characterization of MOS-based devices

Dobeš, Josef; Michal, Jan; Paňko, Václav; Pospíšil, Ladislav

doi:10.1016/j.sse.2010.05.034

Cited by 12 publications

(3 citation statements)

References 7 publications

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“…This procedure calculates a total of N = k−1 i=1 i = k (k − 1)/2 points z i, j in the k-dimensional objective space (i.e., N = 1, 3, and 6 points for k = 2, 3, and 4) from k initially known vertices of the reference set. Much more details about this procedure can be found in [21], and a mathematical proof of the asymptotic uniformity of the coverage is given in [22].…”

Section: Suggested Methods For An Assymptotically Uniform Coverage Of mentioning

confidence: 99%

Precise Characterization and Multiobjective Optimization of Low Noise Amplifiers

Dobeš¹,

Michal²,

Popp³

et al. 2015

RADIOENGINEERING

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Although practically all function blocks of the satellite navigation receivers are realized using the CMOS digital integrated circuits, it is appropriate to create a separate low noise antenna preamplifier based on a low noise pHEMT. Such an RF front end can be strongly optimized to attain a suitable tradeoff between the noise figure and transducer power gain. Further, as all the four principal navigation systems (GPS, GLONASS, Galileo, and COMPASS) work in similar frequency bands (roughly from 1.1 to 1.7 GHz), it is reasonable to create the low noise preamplifier for all of them. In the paper, a sophisticated method of the amplifier design is suggested based on multiobjective optimization. A substantial improvement of a standard optimization method is also outlined to satisfy a uniform coverage of Pareto front. Moreover, for enhancing efficiency of many times repeated solutions of large linear systems during the optimization, a new modification of the Markowitz criterion is suggested compatible with fast modes of the LU factorization. Extraordinary attention was also given to the accuracy of modeling. First, an extraction of pHEMT model parameters was performed including its noise part, and several models were compared. The extraction was carried out by an original identification procedure based on a combination of metaheuristic and direct methods. Second, the equations of the passive elements (including transmission lines and T-splitters) were carefully defined using frequency dispersion of their parameters as Q, ESR, etc. Third, an optimal selection of the operating point and essential passive elements was performed using the improved optimization method. Finally, the s-parameters and noise figure of the amplifier were measured, and stability and third-order intermodulation products were also checked.

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Section: Suggested Methods For An Assymptotically Uniform Coverage Of mentioning

confidence: 99%

Precise Characterization and Multiobjective Optimization of Low Noise Amplifiers

Dobeš¹,

Michal²,

Popp³

et al. 2015

RADIOENGINEERING

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“…The objective function f P is minimized using our original modification of the Levenberg-Marquardt method [6], which consists in normalizing the Jacobian matrix for suppressing numerical instability. The LevenbergMarquardt method is used to obtain solutions for chosen values of w i and P in (12).…”

Section: A Usage Of the Goal Attainment Methodsmentioning

confidence: 99%

“…For circuit simulations, our original C.I.A. tool [6] was used with large efficiency enhancement by fill-in suppression.…”

Section: A Usage Of the Goal Attainment Methodsmentioning

confidence: 99%

Multi-objective optimization of radio-frequency front-ends

Dobeš

Michal

Biolková

2012

2012 IEEE International SOC Conference

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This paper proposes an enhancement of a standard method for the multi-objective optimization known as GAM (Goal Attainment Method). In our modification, the GAM algorithm is combined with a procedure that automatically provides a set of parameters (weights, coordinates of the reference point) for which the method generates non-inferior solutions uniformly spread over a suitably selected part of the Pareto front. The resulting set of the solutions is then presented in a convenient graphic form so that the solution representing the most satisfactory trade-off can easily be chosen. The whole algorithm was implemented as a program and tested on various circuit design examples. A typical one was a four-dimensional multi-objective optimization of an RF video front-end. Therefore, this task is thoroughly described in the paper as a representative demonstration of the capability of the program, including a sophisticated quasi four-dimensional graphic for selecting the trade-off. Moreover, a comparison of our modification with WSM (Weighted Sum Method) is also performed.

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