An efficient mechanism to simulate DC characteristics of GaAs MESFETs using swarm optimization

Although the major parts of function blocks for the satellite navigation receivers are fully integrated in a CMOS chip in most cases, it is convenient to create an antenna preamplifier as a separate circuit based on a low-noise pHEMT. Such an RF front end can be strongly optimized to attain a trade-off between the noise figure and transducer power gain. Furthermore, as all the principal navigation systems (GPS, GLONASS, Galileo, and Compass) work in similar frequency band (roughly from 1.1 to 1.7 GHz), it is reasonable to create this low-noise preamplifier for all of them. In the paper, a sophisticated method of the amplifier design is suggested based on multi-objective optimization. First, an extraction of pHEMT model parameters was performed, including comparisons among several models. The extraction was carried out by our original three-step robust identification procedure based on a combination of meta-heuristic and direct optimization methods. Second, a substantial improvement of a standard method for the multi-objective optimization is outlined. Third, the equations of passive elements of the circuit (including transmission lines and T splitters) were carefully defined using frequency dispersion of their parameters as Q, ESR, etc. Fourth, an optimal selection of the amplifier operating point and essential passive elements was performed using the previously improved goal attainment method. Finally, the sparameters and noise figure of the proposed preamplifier were measured, and the third-order intermodulation products were also checked.

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“…and carefully checked their accuracy. A typical comparison of the TriQuint TOM2 and Dobes models [6]- [8] is shown in Fig. 1.…”

Section: Atf-54143 Model Identificationsmentioning

confidence: 99%

“…They are often compared in references in a detailed way [6]- [8] regarding their precision. We have identified more types of models for pHEMT used in the low-noise amplifier, and we selected the one as a good compromise between its accuracy and complexity.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization of a low-noise antenna amplifier for multi-constellation satellite-navigation receivers

Dobeš

Michal

Popp

et al. 2015

2015 28th IEEE International System-on-Chip Conference (SOCC)

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show abstract

“…and carefully checked their accuracy. A typical comparison of the TriQuint TOM2 and Dobes (called Dobes in [17,18]) models [17][18][19][20]25] is shown in Fig. 3.…”

Section: Approximating the Scattering Parametersmentioning

confidence: 99%

“…At present, there are many pHEMT models available in CAD tools. Their precision is often compared in references in a detailed way [17][18][19][20]. We have identified more types of the models used in low noise amplifiers, and we selected the one as a compromise between its accuracy and complexity.…”

Section: Introductionmentioning

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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“…The PSO is frequently used to solve successfully complex multidimensional optimization problems in different fields, such as antenna design and devicemodeling [14]- [25] etc. In the PSO, every individual entity in the swarm is referred to as a particle and is associated with a velocity.…”

Section: Particle Swarm Optimization Algorithmmentioning

confidence: 99%

Analysis of Linear Antenna Array for minimum Side Lobe Level, Half Power Beamwidth, and Nulls control using PSO

Rahman

Cao

Ahmed

et al. 2017

J. Microw. Optoelectron. Electromagn. Appl.

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An efficient mechanism to simulate DC characteristics of GaAs MESFETs using swarm optimization

Cited by 6 publications

References 15 publications

Multi-objective optimization of a low-noise antenna amplifier for multi-constellation satellite-navigation receivers

Multi-objective optimization of a low-noise antenna amplifier for multi-constellation satellite-navigation receivers

Precise Characterization and Multiobjective Optimization of Low Noise Amplifiers

Analysis of Linear Antenna Array for minimum Side Lobe Level, Half Power Beamwidth, and Nulls control using PSO

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