Gain gradients applied to optimization of distributed-parameter matching circuits for a microwave transistor subject to its potential performance

Güneş, Filiz; Demi̇rel, Salih

doi:10.1002/mmce.20254

Cited by 8 publications

(6 citation statements)

References 16 publications

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“…A complex impedance terminated NUE. the optimization of the UEs (b', Z 0 ) to match the required variations of the resistive and reactive parts of the source and load impedances of a microwave transistor subject to its potential performance [11] and we expect to employ the NUE in optimization of the matching circuits. This application can also be considered as the solution of the simultaneous nonlinear transformation equation set by ''the Smith chart'' methodology for a given complex termination.…”

Section: Discussionmentioning

confidence: 99%

A novel neural Smith chart for use in microwave circuitry

Güneş

Çağlar

2009

Int J RF and Microwave Comp Aid Eng

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In this article, briefly the Smith chart is mapped with an artificial neural network (ANN) covering its whole details to be exploited CAD of the microwave circuitry. Thus, relative to the similar works in the existing literature, this article provides the continuous Smith chart domain to facilitate the ''Smith chart'' methodology in solving the highly nonlinear transformation equations between the rectangular impedance and polar reflection planes for an infinite number of passive impedance to be used in design tasks of the microwave circuits. Data ensembles for the training and testing processes are obtained from the systematically selected locations on the Smith chart with the adaptive radius sampling algorithm. The ANN architecture is also simple, which consists of the two simple multilayer perceptron (MLP) modules with the common inputs which are the termination Z S 5 R S 1 jX S , line {', Z 0 } operation bandwidth B between the defined f min , f max and the dielectric e. Briefly, the outputs of these ANN modules are the standing waves and the impedance transformation, which are the characteristic features of the transmission line circuits. Activation of the hidden layers of the modules are performed by the tangential-sigmoid type of function while the output layers are activated linearly. Furthermore, the neural unit element (NUE) is defined by the two independent neural networks as problems in the forward and reverse directions to be incorporated into the analysis and design algorithms of the unit element (UE). This can also be considered as solving the simultaneous nonlinear equation set for (', Z 0 ) parameters of the required impedance transformations Z OUT (x) 5 R OUT (x) 1 X OUT (x) from the given complex termination Z S 5 R S 1 jX S . Applications of the Neural Smith chart are given by the numerous examples with the proved accuracy. Thus it has been verified that this neural Smith chart can be exploited for the whole classical transmission line theory including impedance matching.

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Section: Discussionmentioning

confidence: 99%

A novel neural Smith chart for use in microwave circuitry

Güneş

Çağlar

2009

Int J RF and Microwave Comp Aid Eng

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“…Besides, the circuit parameters must take place within the feasible design variable space (FDVS). Final stage is to choose an algorithm to be used in the optimization. In fact, authors have experienced many algorithms with gradients or heuristics approaches [9–11] in the circuit synthesis process; in this work, “particle swarm optimization (PSO)” algorithm is used as a simple, efficient, and the derivative‐free optimization algorithm in the synthesis processes of the matching networks.…”

Section: Introductionmentioning

confidence: 99%

A low-noise amplifier design using the performance limitations of a microwave transistor for the ultra-wideband applications

Güneş

Demi̇rel

Özkaya

2010

Int J RF and Microwave Comp Aid Eng

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In this work, a design method of an ultra-wideband, low-noise amplifier (LNA) is put forward exploiting the performance limitations of a single high-quality discrete transistor. For this purpose, the compatible (noise F, input VSWR V i , gain G T ) triplets and their (Z S , Z L ) terminations of the microwave transistor are used for the feasible design target space with the minimum noise F min (f), maximum gain G Tmax (f), and a low constant input VSWR V ireq using the optimum noise impedance Z opt (f), and the maximum gain termination Z Lmax (f) over the available bandwidth B. In the next stage, this multiobjective design process is reduced to the Darlington synthesis of the corresponding Z opt (f), Z Lmax (f) terminations using the unit elements and short-circuited stubs in the T-, L-, P-configurations. This synthesis is transformed to an optimization process with the determined feasible target space and optimization variables. Here, particle swarm intelligence is successfully implemented as a comparatively simple and efficient optimization tool in both verification of the design target space and the design process of the input and output matching circuits.Typical design examples are given with their challenging performances in the simple matching configurations realizable by the microstrip line technology. Furthermore, the performances of the synthesized amplifiers are compared using an analysis programme in MATLAB code and a microwave system simulator and verified to agree with each other and the design target space. V C 2010 Wiley Periodicals, Inc. Int J RF and Microwave CAE 20:535-545, 2010.

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“…In fact, authors have experienced many algorithms with gradients/heuristics approaches [9][10][11] in the circuit synthesis process; in this work, "Particle Swarm Optimization" (PSO) algorithm is employed as a simple and efficient by the derivative-free optimization tool in the syntheses process of the matching networks. In fact, nowadays evolutionary optimization algorithms have applied a wide range of electromagnetic problems, such as genetic optimization of the wideband multimodal square horns for discrete lenses [12] and diffusion coefficient of the turbulent jet [13] PSO design of the electromagnetic absorbers [14], PSO synthesis of the phased arrays [15], cylindrical conformal arrays [16] and smart antennas [17], null placement and side lobe reduction of the radiation patterns for the linear arrays using the ant colony optimization [18].…”

Section: Introductionmentioning

confidence: 99%

Design of an Ultra-Wideband, Low-Noise Amplifier Using a Single Transistor: A Typical Application Example

Demi̇rel¹,

Güneş²,

Ozkaya³

2009

PIER B

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Abstract-In this work, a design method of an Ultra-Wideband (UWB), low-noise amplifier (LNA) is proposed exerting the performance limitations of a single high-quality discrete transistor. For this purpose, the compatible (Noise F , Input VSWR V i , Gain G T ) triplets and their (Z S , Z L ) terminations of a microwave transistor are exploited for the feasible design target space with the minimum noise F min (f ), maximum gain G T max (f ) and a low input VSWR V i over the available bandwidth B. This multi-objective design procedure is reduced into syntheses of the Darlington equivalences of the Z Sopt (f ), Z L max (f ) terminations with the Unit-elements and short-circuited stubs in the T -, L-, Π-configurations and Particle Swarm Intelligence is successfully implemented as a comparatively simple and efficient optimization tool into both verification of the design target space and the design process of the input and output matching circuits. A typical design example is given with its challenging performance in the simple Π-and Π-configurations realizable by the microstrip line technology. Furthermore the performances of the synthesized amplifiers are compared using an analysis programme in MATLAB code and a microwave system simulator and verified to agree with each other.

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Gain gradients applied to optimization of distributed-parameter matching circuits for a microwave transistor subject to its potential performance

Cited by 8 publications

References 16 publications

A novel neural Smith chart for use in microwave circuitry

A novel neural Smith chart for use in microwave circuitry

A low-noise amplifier design using the performance limitations of a microwave transistor for the ultra-wideband applications

Design of an Ultra-Wideband, Low-Noise Amplifier Using a Single Transistor: A Typical Application Example

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