The design of 3D microwave devices can be improved by using computational optimization techniques combined with numerical simulations of the electromagnetic field. However, high accuracy field analysis is often computationally expensive and time consuming. One way to cut costs is to vary the accuracy level of the analysis at different stages of the optimization. This idea is based on the premise that the accuracy need not be constant throughout the optimization, and so the numerical analysis can be run more cheaply without compromising design quality. / This thesis presents a software system that minimizes the return loss of 3D microwave devices over a frequency band efficiently through accuracy control. It combines a custom gradient-based optimizer with a p-adaptive frequency-domain finite element solver. The solver computes the cost function and its gradient to a specified accuracy in a cost efficient manner. The p-adaptive solver comprises of two original components: an a-posteriori error estimator to evaluate the error in the cost function gradient, and an error indicator to identify the high error regions in the mesh. The optimizer controls the accuracy of the cost function evaluation through a link with the solver, specifying the required relative error for the gradient at each optimization step. / The combined adaption-optimization scheme was applied to 3D rectangular waveguide problems for validation: an E-plane miter bend, a U-bend, an impedance transformer and a compensated magic-T. For comparison, all the problems were also optimized using high-order finite elements at every step. Test results prove the computational efficiency of the new combined scheme at various stages of the optimization. In the early stages, when the element orders are low, the scheme is able to attain similar cost function reductions as the high-order analysis, with computational savings up to a factor of 25. Even in the late stages, when the accuracy is more stringent, the scheme manages a reduction in cumulative computation time of at least a factor of 4.

Thesis, (M.E.?)-- University of Adelaide, Dept. of Engineering, 1958. / Typewritten.

Thesis (M.App.Sc.) - Carleton University, 2007. / Includes bibliographical references (p. 87-94). Also available in electronic format on the Internet.

Made available in DSpace on 2014-12-17T14:56:21Z (GMT). No. of bitstreams: 1 PatricLS.pdf: 758253 bytes, checksum: 5014311c01c22242625c739abbfdc673 (MD5) Previous issue date: 2006-06-09 / Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico / This work has as main objective the application of Artificial Neural Networks, ANN, in the resolution of problems of RF /microwaves devices, as for example the prediction of the frequency response of some structures in an interest region. Artificial Neural Networks, are presently a alternative to the current methods of analysis of microwaves structures. Therefore they are capable to learn, and the more important to generalize the acquired knowledge, from any type of available data, keeping the precision of the original technique and adding the low computational cost of the neural models. For this reason, artificial neural networks are being increasily used for modeling microwaves devices. Multilayer Perceptron and Radial Base Functions models are used in this work. The advantages/disadvantages of these models and the referring algorithms of training of each one are described. Microwave planar devices, as Frequency Selective Surfaces and microstrip antennas, are in evidence due the increasing necessities of filtering and separation of eletromagnetic waves and the miniaturization of RF devices. Therefore, it is of fundamental importance the study of the structural parameters of these devices in a fast and accurate way. The presented results, show to the capacities of the neural techniques for modeling both Frequency Selective Surfaces and antennas / Este trabalho tem como principal objetivo a aplica??o de Redes Neurais Artificiais, RNA, na resolu??o de problemas de dispositivos de RF /microondas, como por exemplo a predi??o da resposta em freq??ncia de algumas estruturas em uma regi?o de interesse. As Redes Neurais Artificiais se apresentam como uma alternativa aos m?todos atuais de an?lise de estrutura de microondas, pois s?o capazes de aprender, e o mais importante generalizar o conhecimento adquirido, a partir de qualquer tipo de dado dispon?vel, mantendo a precis?o da t?cnica original utilizada e aliando o baixo custo computacional dos modelos neurais. Por esse motivo, as redes neurais artificiais s?o cada vez mais utilizadas para a modelagem de dispositivos de microondas. S?o utilizados neste trabalho os modelos Perceptron de M?ltiplas Camadas e de Fun??es de Base Radiais. S?o descritas as vantagens/desvantagens de cada um desses modelos, assim como os algoritmos de treinamento referentes a cada um deles. Dispositivos planares de microondas, como Superf?cies Seletivas de Freq??ncias e as antenas de microfita, ganham cada vez mais destaque devido ?s necessidades crescentes de filtragem e separa??o de ondas eletromag?ticas e ? miniaturiza??o de dispositivos de R?dio-Freq??ncia. Por isso ? de import?ncia fundamental o estudo dos par?metros estruturais desses dispositivos de forma r?pida e precisa. Os resultados apresentados, demonstram as capacidades das t?cnicas neurais para modelagem de Superf?cies Seletivas de Freq??ncia e antenas

Orientador: Hugo Enrique Hernández Figueroa / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação / Made available in DSpace on 2018-08-26T15:57:35Z (GMT). No. of bitstreams: 1 ArrietaConcha_JoseLuis_M.pdf: 2860251 bytes, checksum: a9513ec6b0227b83e8ccdb097adfef27 (MD5) Previous issue date: 2014 / Resumo: Redes de comunicação ópticas são parte da sociedade de informação de hoje, em que as fibras ópticas têm um papel muito importante, uma vez que são amplamente utilizados em redes de comunicação e outros sistemas de comunicação atuais. No entanto, o uso de dispositivos eletrônicos em várias redes eletro-ópticas representam um grande engarrafamento para a utilização ideal da grande largura de banda e as taxas de dados de alta velocidade permitida por fibras ópticas. A fim de evitar tal congestionamento de tráfego da rede, dispositivos baseados em tecnologias fotônicas são uma das soluções propostas, porque eles fornecem a capacidade de manter altas velocidades de transmissão com taxas elevadas de dados e baixas perdas. Por isso, tais dispositivos fotônicos são continuamente pesquisados, a fim de melhorar a sua eficácia, a obtenção do maior confinamento e encaminhamento do sinal óptico, e melhorar a perda de inserção quando ele é integrado com outros dispositivos. Para alcançar uma maior compreensão dos dispositivos fotônicos, o trabalho apresentado aqui permite uma compreensão pedagógica e ainda completa de cristais fotônicos e efeitos magnéticos. Esta abordagem pedagógica permite uma experiência em mãos para os estudantes e pesquisadores sobre um tema complexo, um tipo de implementação experimental que normalmente exige sofisticados recursos de fabricação fotônicos. A abordagem em micro-ondas permite construir protótipos conceitualmente equivalentes e manipuláveis. Aqui, apresentamos um estudo teórico, análise numérica, modelagem de computador e simulações eletromagnéticas para um circulador de ferrita de 3 portas em uma estrutura de grade fotônico construído para a faixa de micro-ondas de 2,3GHz - 2,9GHz / Abstract: Optical communication networks are part of today¿s information based society, in which optical fibers play a very important role, since they are widely used in such communication networks and other state of the art communication systems. However, the use of electronic devices in various electronic-optical networks represent a major bottleneck for the optimal utilization of the large bandwidth and high speed data rates allowed by optical fibers. In order to avoid such congestion of network traffic, devices based on photonic technologies are one of the proposed solutions, because they provide the capability to maintain transmission speeds with both high data rates and low losses. That is why such photonic devices are continuously being researched in order to improve their effectiveness, obtain greater confinement and guiding of the optical signal, as well as to reduce the insertion loss when it is integrated with other devices. To achieve a greater understanding of photonic devices, the work presented in this paper allow for a pedagogical and yet thorough understanding of photonic crystals and magnetic effects. This pedagogical approach permits a hands-on experience for students and researchers on a complex subject, a kind of experimental implementation that usually demands sophisticated photonic fabrication resources. The microwave approach allows one to construct conceptually equivalent but hand-manipulable prototypes. Here, we present the theoretical study, numerical analysis, computer modeling and electromagnetic simulations for a 3-port ferrite circulator in a photonic grid structure built for the 2.3 GHz to 2.9 GHz microwave range. For a photonic device operating in the optical communication range, we may expect a qualitative analogous behavior / Mestrado / Telecomunicações e Telemática / Mestre em Engenharia Elétrica

No description available.

<p>Wireless communications and interconnected devices have become ubiquitous in our everyday life. As the rollout of the 5th generation (5G), wireless communication technology is well underway, the number of interconnected devices is increasing exponentially. Estimations for 2021 predicted that 1.5 billion smart devices would sell globally, representing a $53.45 billion market size by 2022. With the increase of communication channels and transmitted data within these networks, the challenge of coexistence without interference will become prominent. Simultaneously, 5G networks are introducing more frequency bands while densifying the network of communication towers. Forecasts predict a 100X increase of the network at the edge by introducing small cell towers, with projections estimating 45 million installed by 2031. As a result, rapid exponential growth in hardware costs is expected. Also, these dense networks will require a higher degree of self-configuration to prevent adjacent band interference.</p> <p>Tunable filters and large-scale manufacturing technologies are two solutions to address these challenges. Reconfigurable high-quality evanescent-mode (EVA) filters have been extensively presented in the literature. Different mechanisms have been employed for tuning, such as piezoelectric actuators and motors, and magnetostatic and electrostatic actuators. Furthermore, these implementations have been realized with printed circuit board (PCB) technology, computer numerical control (CNC) machining, 3D printing, and silicon (Si) micro-machining. Specifically, PCB manufacturing of three-dimensional front-end tunable filters has been promising and can deliver excellent performance. In addition, they can be integrated into the existing manufacturing lines and circuitry for the RF front-end.</p> <p>Nonetheless, there are limitations in fabrication tolerances that PCB manufacturing could reach. Consequently, there are restrictions on the frequency bands that these devices can be manufactured as dimensions become smaller in higher bands. Moreover, EVA cavities have been proven to yield higher performance filters when compared to unloaded quality factors and power handling of currently used substrate integrated waveguide (SIW) based technologies. Specifically, EVA filters produced with silicon micro-manufacturing combined with MEMS actuators have been demonstrated with remarkable performance up to 100s of GHz. Also, cost limitations per unit built are significant compared to other technologies like injection molding.</p> <p>The research goal of this work is to investigate scalable, low-cost manufacturing processes and techniques while maintaining a high-performance device. Combining knowledge from silicon RF MEMS tuned EVA filters and the cost-effective mass manufacturing injection molding technology to deliver a high-Q, high power handling, low-cost tunable filter. Demonstrating these characteristics within the same manufactured prototype would be a unique solution within the existing literature on tunable filters.</p> <p>This thesis is organized into three parts. The first part is focused on design for manufacturing (DFM). Si micromachining has been used to produce tunable resonators and filters at lower bands, but higher bands have yet to be demonstrated. The low-cost batch fabrication of already established Si micromachining lines makes this an attractive technology to realize these devices. This section presents network densification’s challenges and the economics of scale-up manufacturing. Furthermore, using Si micromachining, the first high Q tunable W band RF resonator is demonstrated tuned with MEMS technology.</p> <p>In the second part, the focus is on design for performance (DFP). Si micromachining is optimized to demonstrate high-performance RF MEMS tunable filters up to 100s GHz. High Q, wide tuning range, and low actuation voltages for the MEMS tuners have been realized.</p> <p>In the third part, the focus is on design for cost (DFC), where injection molding manufacturing technology is proven to have significant advantages in low cost with respect to other large-scale manufacturing technologies. A high-performance tunable resonator and filter in the sub-6 GHz frequency band are manufactured. They prove that simultaneously high Q, widely tunable, high power capable filters can be produced with low-cost scalable manufacturing technology.</p>

Les enjeux majeurs des dispositifs hyperfréquences utilisés dans les systèmes de télécommunication modernes sont la montée en fréquence de fonctionnement, la miniaturisation des circuits et l’intégrabilité des composants.Grâce à l’émergence des métamatériaux et à la maîtrise des propriétés des ferrites, il est possible de développer nouveaux dispositifs répondant à ces nouvelles exigences de l’électronique embarquée.Cette thèse développe, à partir d’une ligne métamatériau HIW coplanaire basée sur un substrat de ferrite, un nouveau dispositif hyperfréquence non réciproque de faible encombrement, opérant à des fréquences situées entre 13 et 15 GHz.Les prototypes fabriqués et caractérisés sous de faibles valeurs de champ magnétique, présentent les performances caractéristiques d’un isolateur bande étroite: isolation supérieure à 30 dB, pertes d’insertion inférieures à 1 dB. / The main challenges of microwave devices used in modern telecommunication systems are the increase of the operating frequency, the circuit’s miniaturization and the integration of components.Thanks to the emergence of metamaterials and the control of the properties of ferrites, it is possible to develop new circuits that meet these new requirements for embedded electronics.This thesis investigates, from a coplanar HIW metamaterial line based on a ferrite substrate, a new non-reciprocal microwave device, operating in frequency range between 13 and 15 GHz.Prototypes were fabricated and characterized under low magnetic field. They achieved the characteristic performances of a narrow band isolator: isolation over 30 dB and insertion losses of less than 1 dB.

University of Macau / Faculty of Science and Technology / Department of Electrical and Electronics Engineering

Made available in DSpace on 2014-12-17T14:55:56Z (GMT). No. of bitstreams: 1 MarcioGP.pdf: 1534925 bytes, checksum: d1c777b1e76b23d509caeb3258a0aa97 (MD5) Previous issue date: 2006-06-19 / This dissertation contributes for the development of methodologies through feed forward artificial neural networks for microwave and optical devices modeling. A bibliographical revision on the applications of neuro-computational techniques in the areas of microwave/optical engineering was carried through. Characteristics of networks MLP, RBF and SFNN, as well as the strategies of supervised learning had been presented. Adjustment expressions of the networks free parameters above cited had been deduced from the gradient method. Conventional method EM-ANN was applied in the modeling of microwave passive devices and optical amplifiers. For this, they had been proposals modular configurations based in networks SFNN and RBF/MLP objectifying a bigger capacity of models generalization. As for the training of the used networks, the Rprop algorithm was applied. All the algorithms used in the attainment of the models of this dissertation had been implemented in Matlab / Esta disserta??o contribui para o desenvolvimento de metodologias atrav?s de redes neurais artificiais de alimenta??o direta para a modelagem de dispositivos de microondas e ?pticos. Uma revis?o bibliogr?fica sobre as aplica??es de t?cnicas neuro-computacionais na ?reas de engenharia de microondas e ?ptica foi realizada. As caracter?sticas das redes MLP, RBF e SFNN, bem como as estrat?gias de aprendizado supervisionado foram apresentadas. As express?es de ajuste dos par?metros livres das redes acima citadas foram deduzidas a partir do m?todo do gradiente. O m?todo convencional EM-ANN foi aplicado na modelagem de dispositivos passivos de microondas e amplificadores ?pticos. Para isto, foram propostas configura??es modulares baseadas em redes SFNN e RBF/MLP objetivando uma maior capacidade de generaliza??o dos modelos. No que se refere ao treinamento das redes utilizadas, o algoritmo Rprop foi aplicado. Todos os algoritmos utilizados na obten??o dos modelos desta disserta??o foram implementados em Matlab