Computer-Aided Analysis of Microwave Circuits

Monaco, V.A.; Tiberio, Paolo

doi:10.1109/tmtt.1974.1128208

Cited by 78 publications

(48 citation statements)

References 50 publications

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“…One of the earliest papers on the area of optimization methods for microwave circuits was Bandler and Macdonald's work [33], [34]. A classical paper on the analysis part of microwave circuits in computer aided design was introduced by Monaco and Tiberio [35]. In this paper, different methods used in the analysis programs of linear circuits in frequency domain were described.…”

Section: B Microwave Modelsmentioning

confidence: 99%

Core Levels Algorithm for Optimization: Case of Microwave Models

Haydar¹,

Ülker²,

Dimililer³

et al. 2017

ijacsa

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Abstract-Metaheuristic algorithms are investigated and used by many researchers in different areas. It is crucial to find optimal solutions for all problems under study especially for the ones which require sensitive optimization. Especially, for real case problems, solution quality and convergence speed of the algorithms are highly desired characteristics. In this paper, a new optimization algorithm called Core Levels Algorithm (COLA) based on the use of metaheuristics is proposed and analyzed. In the algorithm, two core levels are applied recursively to create new offsprings from the parent vectors which provides a desired balance on the exploration and exploitation characteristics. The algorithm's performance is first studied on some well-known benchmark functions and then compared with previously proposed efficient evolutionary algorithms. The experimental results showed that even at the early stages of optimization, obtained values are very close or exactly the same as the optimum values of the analyzed functions. Then, the performance of COLA is investigated on real case problems such as some selected microwave circuit designs. The results denoted that COLA produces stable results and provides high accuracy of optimization without high parameter dependency even for the real case problems.

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Section: B Microwave Modelsmentioning

confidence: 99%

Core Levels Algorithm for Optimization: Case of Microwave Models

Haydar¹,

Ülker²,

Dimililer³

et al. 2017

ijacsa

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“…One can in addition refer to [9] for an excellent review on computer-aided analysis of RF circuits. On shall note that SIDON is implemented in MATLAB but there is no restriction to adapt it to other programming languages as the open-source Python.…”

Section: The Theory Of Sidonmentioning

confidence: 99%

SIDON: A simulator of radio-frequency networks. Application to WEST ICRF launchers

Helou

Dumortier²,

Durodié³

et al. 2015

AIP Conference Proceedings

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Abstract. SIDON (SImulator of raDiO-frequency Networks) is an in-house developed Radio-Frequency (RF) network solver that has been implemented to cross-validate the design of WEST ICRF launchers and simulate their impedance matching algorithm while considering all mutual couplings and asymmetries. In this paper, the authors illustrate the theory of SIDON as well as results of its calculations. The authors have built time-varying plasma scenarios (a sequence of launchers front-faces L-mode and H-mode Z-matrices), where at each time step (1 millisecond here), SIDON solves the RF network. At the same time, when activated, the impedance matching algorithm controls the matching elements (vacuum capacitors) and thus their corresponding S-matrices. Typically a 1-second pulse requires around 10 seconds of computational time on a desktop computer. These tasks can be hardly handled by commercial RF software. This innovative work allows identifying strategies for the launchers future operation while insuring the limitations on the currents, voltages and electric fields, matching and Load-Resilience, as well as the required straps voltage amplitude/phase balance. In this paper, a particular attention is paid to the simulation of the launchers behavior when arcs appear at several locations of their circuits using SIDON calculator. This latter work shall confirm or identify strategies for the arc detection using various RF electrical signals. One shall note that the use of such solvers in not limited to ICRF launchers simulations but can be employed, in principle, to any linear or linearized RF problem.

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“…The global S representation of a system composed by several subcircuits (represented by their S matrix) can be obtained, as shown in [23]. Hence, without loss of generality, we can suppose that a PLC system can be represented by a cascade of two-port circuits, each of them representing a single device or a group of devices.…”

Section: Representation Of Plc Channels By Wavelet-based Scattermentioning

confidence: 99%

Innovative model for time-varying power line communication channel response evaluation

Barmada

Musolino

Raugi

2006

IEEE J. Select. Areas Commun.

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Abstract-This work presents a channel model for the broadband characterization of power lines in presence of time variation of the loads. The model is characterized by taking into account both measured and geometrical channel characteristics and can easily be used to take into account also the presence of noise. The channel is described by a two-port equivalent described by a scattering matrix determined from a wavelet-based expansion of the input and output quantities. Upper and lower bounds for the response of the channel in presence of time-varying loads are determined in a fast and efficient way avoiding time consuming Monte Carlo simulations. The bounds determination allows the estimate of noteworthy quantities for the tuning of currently used modulation schemes for power lines communications such as orthogonal frequency-division multiplexing.

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Computer-Aided Analysis of Microwave Circuits

Cited by 78 publications

References 50 publications

Core Levels Algorithm for Optimization: Case of Microwave Models

Core Levels Algorithm for Optimization: Case of Microwave Models

SIDON: A simulator of radio-frequency networks. Application to WEST ICRF launchers

Innovative model for time-varying power line communication channel response evaluation

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