270 resultados para backhaul predistortion wideband polyphase


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Here we present a status report of the first spherical antenna project equipped with a set of parametric transducers for gravitational detection. The Mario Schenberg, as it is called, started its commissioning phase at the Physics Institute of the University of Sao Paulo, in September 2006, under the full support of FAPESP. We have been testing the three preliminary parametric transducer systems in order to prepare the detector for the next cryogenic run, when it will be calibrated. We are also developing sapphire oscillators that will replace the current ones thereby providing better performance. We also plan to install eight transducers in the near future, six of which are of the two-mode type and arranged according to the truncated icosahedron configuration. The other two, which will be placed close to the sphere equator, will be mechanically non-resonant. In doing so, we want to verify that if the Schenberg antenna can become a wideband gravitational wave detector through the use of an ultra-high sensitivity non-resonant transducer constructed using the recent achievements of nanotechnology.

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The frequency selective surfaces, or FSS (Frequency Selective Surfaces), are structures consisting of periodic arrays of conductive elements, called patches, which are usually very thin and they are printed on dielectric layers, or by openings perforated on very thin metallic surfaces, for applications in bands of microwave and millimeter waves. These structures are often used in aircraft, missiles, satellites, radomes, antennae reflector, high gain antennas and microwave ovens, for example. The use of these structures has as main objective filter frequency bands that can be broadcast or rejection, depending on the specificity of the required application. In turn, the modern communication systems such as GSM (Global System for Mobile Communications), RFID (Radio Frequency Identification), Bluetooth, Wi-Fi and WiMAX, whose services are highly demanded by society, have required the development of antennas having, as its main features, and low cost profile, and reduced dimensions and weight. In this context, the microstrip antenna is presented as an excellent choice for communications systems today, because (in addition to meeting the requirements mentioned intrinsically) planar structures are easy to manufacture and integration with other components in microwave circuits. Consequently, the analysis and synthesis of these devices mainly, due to the high possibility of shapes, size and frequency of its elements has been carried out by full-wave models, such as the finite element method, the method of moments and finite difference time domain. However, these methods require an accurate despite great computational effort. In this context, computational intelligence (CI) has been used successfully in the design and optimization of microwave planar structures, as an auxiliary tool and very appropriate, given the complexity of the geometry of the antennas and the FSS considered. The computational intelligence is inspired by natural phenomena such as learning, perception and decision, using techniques such as artificial neural networks, fuzzy logic, fractal geometry and evolutionary computation. This work makes a study of application of computational intelligence using meta-heuristics such as genetic algorithms and swarm intelligence optimization of antennas and frequency selective surfaces. Genetic algorithms are computational search methods based on the theory of natural selection proposed by Darwin and genetics used to solve complex problems, eg, problems where the search space grows with the size of the problem. The particle swarm optimization characteristics including the use of intelligence collectively being applied to optimization problems in many areas of research. The main objective of this work is the use of computational intelligence, the analysis and synthesis of antennas and FSS. We considered the structures of a microstrip planar monopole, ring type, and a cross-dipole FSS. We developed algorithms and optimization results obtained for optimized geometries of antennas and FSS considered. To validate results were designed, constructed and measured several prototypes. The measured results showed excellent agreement with the simulated. Moreover, the results obtained in this study were compared to those simulated using a commercial software has been also observed an excellent agreement. Specifically, the efficiency of techniques used were CI evidenced by simulated and measured, aiming at optimizing the bandwidth of an antenna for wideband operation or UWB (Ultra Wideband), using a genetic algorithm and optimizing the bandwidth, by specifying the length of the air gap between two frequency selective surfaces, using an optimization algorithm particle swarm

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This work presents a theoretical and experimental investigation about the properties of microstrip antennas for ultra-wideband systems. Configurations of elliptic monopoles with different eccentricities and circular monopoles are considered. Two prototypes for each antenna configuration were built, one with the typical microstrip configuration and the other is similar to the first, except for a small aperture in the ground plane. Therefore, this work proposes to modify the configuration of the ground plane of the monopoles designed adding a rectangular stub, in order to optimize and improve the performance of such structures. The obtained results show that the introduction of that rectangular aperture in the ground plane allows an improvement of the frequency response for the considered antenna propotypes. It is observed a good agreement between the measured and simulated results. Finally, some proposals for future works are presented

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This work is the analysis of a structure of the microstrip antenna designed for application in ultra wide band systems (Ultra Wideband - UWB). This is a prospective analytical study where they tested the changes in the geometry of the antenna, observing their suitability to the proposed objectives. It is known that the UWB antenna must operate in a range of at least 500 MHz, and answer a fractional bandwidth greater than or equal to 25%. It is also desirable that the antenna meets the specifications of track determined by FCC - Federal Communication Commission, which regulates the system in 2002 designating the UWB bandwidth of 7.5 GHz, a range that varies from 3.1 GHz to 10, 6 GHz. by setting the maximum power spectral density of operation in -41.3 dB / MHz, and defining the fractional bandwidth by 20%. The study starts of a structure of geometry in the form of stylized @, which evolves through changes in its form, in simulated commercial software CST MICROWAVE STUDIO, version 5.3.1, and then tested using the ANSOFT HFSS, version 9. These variations, based on observations of publications available from literature referring to the microstrip monopole planar antennas. As a result it is proposed an antenna, called Monopole Antenna Planar Spiral Almost Rectangular for applications in UWB systems - AMQEUWB, which presents simulated and measured results satisfactory, consistent with the objectives of the study. Some proposals for future work are mentioned

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This work presents an wideband ring VCO for cognitive radio five-port based receivers. A three-stage differential topology using transmission gate was adopted in order to maintain wide and linear tuning range and a low phase-noise. Monte-Carlo analysis were performed for phase-shift response of individual stages, which is an important figure of merit in five-port works. It was observed a fairly linear correlation between control voltage and oscillation frequency in the range between 200 MHz and 1800 MHz. The VCO was preliminarily designed for IBM 130nm CMOS technology

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This paper presents an evaluative study about the effects of using a machine learning technique on the main features of a self-organizing and multiobjective genetic algorithm (GA). A typical GA can be seen as a search technique which is usually applied in problems involving no polynomial complexity. Originally, these algorithms were designed to create methods that seek acceptable solutions to problems where the global optimum is inaccessible or difficult to obtain. At first, the GAs considered only one evaluation function and a single objective optimization. Today, however, implementations that consider several optimization objectives simultaneously (multiobjective algorithms) are common, besides allowing the change of many components of the algorithm dynamically (self-organizing algorithms). At the same time, they are also common combinations of GAs with machine learning techniques to improve some of its characteristics of performance and use. In this work, a GA with a machine learning technique was analyzed and applied in a antenna design. We used a variant of bicubic interpolation technique, called 2D Spline, as machine learning technique to estimate the behavior of a dynamic fitness function, based on the knowledge obtained from a set of laboratory experiments. This fitness function is also called evaluation function and, it is responsible for determining the fitness degree of a candidate solution (individual), in relation to others in the same population. The algorithm can be applied in many areas, including in the field of telecommunications, as projects of antennas and frequency selective surfaces. In this particular work, the presented algorithm was developed to optimize the design of a microstrip antenna, usually used in wireless communication systems for application in Ultra-Wideband (UWB). The algorithm allowed the optimization of two variables of geometry antenna - the length (Ls) and width (Ws) a slit in the ground plane with respect to three objectives: radiated signal bandwidth, return loss and central frequency deviation. These two dimensions (Ws and Ls) are used as variables in three different interpolation functions, one Spline for each optimization objective, to compose a multiobjective and aggregate fitness function. The final result proposed by the algorithm was compared with the simulation program result and the measured result of a physical prototype of the antenna built in the laboratory. In the present study, the algorithm was analyzed with respect to their success degree in relation to four important characteristics of a self-organizing multiobjective GA: performance, flexibility, scalability and accuracy. At the end of the study, it was observed a time increase in algorithm execution in comparison to a common GA, due to the time required for the machine learning process. On the plus side, we notice a sensitive gain with respect to flexibility and accuracy of results, and a prosperous path that indicates directions to the algorithm to allow the optimization problems with "η" variables

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Frequency selective surfaces (Frequency Selective Surface - FSS) are often used in various applications in telecommunications. Some of these applications may require that these structures have response with multiple resonance bands. Other applications require that the FSS response have large frequency range, to meet the necessary requirements. FSS to design with these features there are numerous techniques cited in the scientific literature. Thus, the purpose of this paper is to examine some common techniques such as: Overlap of FSS; Elements combined; Elements Elements convolucionados and fractals. And designing multiband FSS and / or broadband selecting simple ways in terms of construction and occupy the smallest possible space, aiming at practical applications. Given these requirements, three projects FSS were performed: a technology applied to IEEE 802.11 a/b/g/n and two projects for application in UWB. In project development, commercial software Ansoft DesignerTM and experimental results were satisfactory was used

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New structural data from Elephant Island and adjacent islands are presented with the objective to improve the understanding of subduction kinematics in the area northeast of the Antarctic Peninsula. on the island, a first deformation phase, D-1, produced a strong SL fabric with steep stretching and mineral lineations, partly defined by relatively high pressure minerals, such as crossite and glaucophane. D-1 is interpreted to record southward subduction along an E-W trench with respect to the present position of the island. A second phase, D-2, led to intense folding with steep E-W-trending axial surfaces. The local presence of sinistral C'-type sheer bands related to this phase and the oblique inclination of the L-2 stretching lineations are the main arguments to interpret this phase as representing oblique sinistral transpressive shear along steep, approximately E-W-trending shear zones, with the northern (Pacific) block going down with respect to the southern (Antarctic Peninsula) block. The sinistral strike-slip component may represent a trench-linked strike-slip movement as a consequence of oblique subduction. Lithostatic pressure decreased and temperature increased to peak values during D-2, interpreted to represent the collision of thickened oceanic crust with the active continental margin. The last deformation phase, D-3, is characterised by post-metamorphic kink bands, partially forming conjugate sets consistent with E-W shortening and N-S extension. The rock units that underlie the island probably rotated during D-3, in Cenozoic times, together with the trench, from an NE-SW to the present ENE-WSW position, during the progressive opening of the Scotia Sea. The similarity between the strain orientation of D-3 and that of the sinistral NE-SW Shackleton Fracture Zone is consistent with this interpretation. (C) 2000 Elsevier B.V. B.V. All rights reserved.

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The mafic/ultramafic Ipanema Layered Complex (ILC), Minas Gerais Brazil, consists of seven individual bodies. These units crosscut polyphase orthogneisses and interlayered paragneisses of the Paleoproterozoic Juiz de Fora Complex. Intrusive granitoids tectonically related to [lie Neoproterozoie Aracuai orogen are also present in the study area.A Sm-Nd whole-rock linear array for seven samples metapyoxenites, metaperidotiles, metagabbro. and meta-anorthosite) from the Santa Cruz massif, the largest body of the ILC. suggest that it was emplaced at 1104 +/- 78 Ma the original magma was derived from a depleted mantle source (epsilon(Ndt)= +3.8). U-Pb single-grain zircon stud of a meta-anorthosite yields all upper intercept age of 1719 +/- 4 Ma, which is interpreted to represent inheritance. The lower intercept at 630+/-3 Ma indicates (hat a Neoproterozoic tectonothermal episode overprinted the ILC, this event occurred under upper-amphiolite-, to granulite-facies conditions. The 630 Ma episode is consistent with the timing of regional metamorphism and deformation of the adjacent Aracuai orogen (Brasiliano collage). Emplacement of the ILC and other coeval metamafies and meta-ultramafics (of alkaline affinity) in the re, oil is attributed to early extension tectonics, accompanying accretion of the Rodinia super- continent during the Mesoproterozoic-Neoproterozoic time boundary.

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Migmatites, high-grade gneisses and granitoids represent the most important Precambrian rocks of Sao Joao da Boa Vista region. Structures are interpreted as due to low-angle oblique non-coaxial ductile shear, developed under conditions of amphibolite facies. Transcurrent ductile shear zones and associated drags modify the foliation and lineations orientations. A first phase of migmatization related to anatexis seems to be developed before or early during the thermo-tectonic process. A second one is syntectonic, and represents the main regional phase. Joints and faults represent the brittle features, the faults marked by cataclastic rocks and intense retrometamorphism along the main zones. -from English summary

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Pós-graduação em Engenharia Elétrica - FEB

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As Redes Ópticas Passivas (Passive Optical Networks - PONs) vêm experimentando um sólido crescimento nas últimas décadas por terem sido concebidas como uma excelente alternativa para a solução de um dos maiores problemas para as redes de telecomunicações: o gargalo nas redes de acesso. A próxima geração desta tecnologia, as chamadas Next Genaration PONs (NG-PON), surgem como consequência da evolução das tecnologias ópticas e oferecem suporte aos serviços de próxima geração, melhorando os parâmetros de desempenho das TDM-PONs e inclusive aumentando a área de cobertura destas redes. Esta expansão geográfica beneficia as empresas de telecomunicações que passam a focar seus esforços na simplificação de suas infra-estruturas através da unificação das redes metropolitanas, de acesso e de backhaul, reduzindo a quantidade de nós e, consequentemente, de custos operacionais e financeiros. Trata-se de uma significativa mudança no cenário das redes de acesso que passam a ter grandes distâncias entre as Optical Network Units (ONUs) e o Central Office (CO) e uma imensa variedade de serviços, tornando fundamental a presença de algoritmos de agendamento capazes de gerenciar todos os recursos compartilhados de forma eficiente, ao mesmo tempo que garantem controle e justeza na alocação dinâmica dos tráfegos upstream e downstream. É a partir deste contexto que esta dissertação tem como objetivo geral apresentar a proposta de um algoritmo híbrido de agendamento de grants baseado na priorização de filas (Hybrid Grant Scheduler based on Priority Queuing – HGSPQ), que além de gerenciar todos os recursos em WDM-PONs, busca oferecer eficiência e controle ao Optical Line Terminal (OLT) no agendamento dinâmico dos tráfegos. Os resultados apresentados foram extraídos de cenários desenvolvidos em ambiente de simulação computacional e se baseiam nas métricas de atraso e vazão para avaliação de seu desempenho. Também será avaliado como a quantidade de recursos no OLT interfere nestas métricas.

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Nos últimos anos, com o surgimento de novos serviços e equipamentos para o sistema de comunicação móvel com maiores larguras de banda de operação e ocupando espaços cada vez menores, o desenvolvimento de novas antenas de bandas largas e com dimensões pequenas se tornou um dos principais desafios das pesquisas na área de antenas. Neste trabalho, duas estruturas de antenas de bandas largas e dimensões reduzidas foram analisadas e otimizadas. Na primeira parte, a antena filamentar monopolo dobrado (Wire Built-in Folded Monopole Antenna, W-BFMA) foi investigada e teve sua largura de banda otimizada, conectada a linha de alimentação em diferentes impedâncias. Para modelar a estrutura da antena W-BFMA foi usado o método numérico dos momentos (Method of Moments - MoM), e para sua otimização os métodos: paramétrico, hill climbing e algoritmo genético (AG). Programas computacionais baseados na linguagem Matlab foram desenvolvidos para modelagem, otimização e cálculos das principais curvas características da antena W-BFMA. Na segunda parte, duas diferentes configurações de antenas monopolos planos usando a tecnologia de banda ultra-larga (Ultra- Wideband Antenna, UWB) foram investigadas e otimizadas com a ajuda do programa comercial Computer Simulation Technology (CST) Microwave Studio. Ambas as antenas UWB foram alimentadas por uma linha de microfita (microstrip line) na impedância de 50Ω. A antena UWB que apresentou melhor resultado teve o seu protótipo construído, as principais curvas características, tais como: perda de retorno, ganho, distribuição de corrente e diagrama de radiação foram analisadas. Os resultados simulados foram comparados com resultados obtidos experimentalmente.

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As formações Sobreiro e Santa Rosa são resultado de intensas atividades vulcânicas paleoproterozoicas na região de São Félix do Xingu (PA), SE do Cráton Amazônico. A Formação Sobreiro é composta por rochas de fácies de fluxo de lava andesítica, com dacito e riodacito subordinados, além de rochas que compõem a fácies vulcanoclástica, caracterizadas por tufo, lapilli-tufo e brecha polimítica maciça. Essas rochas exibem fenocristais de clinopiroxênio, anfibólio e plagioclásio em uma matriz microlítica ou traquítica. O clinopiroxênio é classificado predominantemente como augita, com diopsídio subordinado, e apresenta caracterísiticas geoquímicas de minerais gerados em rochas de arco magmático. O anfibólio, representado pela magnesiohastingsita, foi formado sob condições oxidantes e apresenta texturas de desequilíbrio, como bordas de oxidação vinculadas à degaseificação por alívio de pressão. As rochas da Formação Santa Rosa foram extravasadas em grandes fissuras crustais de direção NE-SW, têm características de evolução polifásica e compõem uma fácies de fluxo de lava riolítica e riodacítica e uma fácies vulcanoclástica de ignimbritos, lapilli-tufos, tufos de cristais félsicos e brechas polimíticas maciças. Diques métricos e stocks de pórfiros graníticos e granitoides equigranulares completam essa suíte. Fenocristais de feldspato potássico, plagioclásio e quartzo dispersos em matriz de quartzo e feldspato potássico intercrescidos ocorrem nessas rochas. Por meio de análises químicas pontuais dos fenocristais em microssonda eletrônica, foram estimadas as condições de pressão e temperatura de sua formação, sendo que o clinopiroxênio das rochas intermediárias da Formação Sobreiro indica profundidade de formação variável entre 58 e 17,5 km (17,5 - 4,5 kbar), a temperaturas entre 1.294 e 1.082 ºC, enquanto o anfibólio cristalizou-se entre 28 e 15 km (7,8 - 4,1 kbar), o que sugere uma evolução polibárica. Assim, propõe-se um modelo de geração de magma basáltico hidratado com base na fusão parcial de cunha mantélica e no acúmulo na crosta inferior em uma zona quente, a partir da qual os magmas andesíticos e dacíticos são formados pela assimilação de crosta continental e cristalização fracionada.