Orientador: Luís Geraldo Pedroso Meloni / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação / Made available in DSpace on 2018-08-16T06:39:32Z (GMT). No. of bitstreams: 1 Okajima_HenriShinichideSouza_M.pdf: 2252019 bytes, checksum: df6b064fa2391bdd5665b43e140c56b1 (MD5) Previous issue date: 2010 / Resumo: Esta dissertação apresenta os resultados obtidos com a pesquisa e implementação de um sistema de demodulação para o receptor de rastreio de um radar de telemedidas. Um radar de telemedidas é responsável pela identificação de um conjunto de medidas realizadas no objeto espacial e enviadas para a antena através de um transponder. A antena de telemedidas deve rastrear o objeto, mantendo-se sempre apontada na direção deste. Para realizar esta função foi utilizada a técnica de monopulso de um canal. Na técnica de monopulso de um canal, cabe ao demodulador digital do receptor executar uma identificação de envoltória e uma demultiplexação temporal que deve permitir encontrar os valores angulares dos erros. A implementação resultou em uma placa de demodulador digital, realizada com um Field Programmable Gate Array (FPGA) da família Cyclone II, e um controlador Freescale, embarcados em uma Placa de Circuito Impresso (PCI) de quatro camadas, projetada para interfacear sinais digitais para controle do sistema de telemedidas e para condicionar os sinais analógicos para posterior processamento. Além de ter interface com placas específicas (por exemplo, CAF - Controle automático de freqüência, CAG - controle automático de ganho, Gerador de Teste, etc), possui também uma interface Controller Area Network (CAN) para comunicação com os módulos de controle de servomecanismos da antena e de interface usuário. Foi desenvolvido também um ambiente de simulação para o demodulador digital em Matlab permitindo verificar a coerência com os resultados esperados e traçar cenários de testes / Abstract: This project presents the results obtained by the research and development of a Demodulation System for a telemetry radar tracking receiver. A telemetry radar system is responsible for identifying a set of measures taken from a spatial artifact and is transmitted by a transponder to its antenna. The telemetry antenna must track the spatial object, maintaining the antenna pointing in the correct direction. To execute this function a single channel monopulse technique is applied. Since the single channel monopulse technique is used, a digital demodulator task is then run for amplitude identification and the de-multiplexing time frame must occur in order to calculate the angle values of errors. This process is explained during the dissertation after the presentation of the main characteristics of radars and some aspects of telemetry systems. The solution is a digital demodulator electronic board, build with an FPGA (Field Programmable Gate Array) from Altera Cyclone II® family, and a Freescale® controller, over a multilayer PCB (Printed Circuit Board) projected to interface with digital signals for the Telemetry Control System and to conditioning analogical signals for processing tasks. The developed board has the CAN (Controller Area Network) interface to communicate with the servomechanism control modules associated with the Antenna and is placed in an armored drawer - to avoid electromagnetic noises - as well as to interact with other specific board functions.A simulation environment was achieved for the digital demodulator in Matlab, allowing the results verification and allowing to establish others testing scenarios / Mestrado / Telecomunicações e Telemática / Mestre em Engenharia Elétrica

Orientadores: João Marcos Travassos Romano, Cynthia Cristina Martins Junqueira / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação / Made available in DSpace on 2018-08-17T17:05:38Z (GMT). No. of bitstreams: 1 ChinattoJunior_AdilsonWalter_M.pdf: 7887281 bytes, checksum: 23d4e34e4a2b77a46e1707773d7b5fdf (MD5) Previous issue date: 2011 / Resumo: O Processamento Largamente Linear, desenvolvido durante a década de 1990, tem levado a uma melhoria no desempenho de algoritmos adaptativos para determinadas situações que empregam sinais impróprios. Quando aplicado a arranjos de antenas, esse tipo de processamento apresenta a potencialidade ser mais robusto e eficiente que as técnicas clássicas de filtragem. Dessa forma, este trabalho busca estender uma série de algoritmos adaptativos clássicos de conformação de feixe para a forma largamente linear, verificando através de simulações os eventuais ganhos em desempenho obtidos na tarefa de mitigação de interferentes através de arranjos de antenas. São avaliados algoritmos treinados, com restrições e cegos, cobrindo um leque relativamente amplo de cenários de utilização. Visando o uso de arranjos de antenas em cenários em que os sinais incidentes possuam modulação real, são propostas otimizações para os algoritmos largamente lineares que levam a uma redução da complexidade computacional, mantendo o desempenho do algoritmo original. Essas otimizações são aplicadas para algoritmos treinados, com restrições e cegos, sendo seus desempenhos comparados através de simulações com os desempenhos obtidos através dos algoritmos largamente lineares originais e dos algoritmos estritamente lineares. Por fim, uma plataforma para testes de arranjos de antenas é implementada em hardware provido de dispositivo de lógica programável (FPGA), permitindo que sejam realizados ensaios práticos envolvendo caracterização de antenas, conformação de feixe não adaptativa e mitigação de interferentes através de algoritmos adaptativos / Abstract: Widely Linear Processing, developed during the 1990s, has led to an improved performance of adaptive algorithms under certain situations that involve improper signals. When applied to antenna arrays, this type of processing shows to be potentially more robust and efficient than the classical filtering techniques. The objective of this work is to extend several classic adaptive beamforming algorithms to the widely linear form, verifying by means of simulations the potential gains in performance when applied to the task of mitigating interference in antenna arrays. Trained, restricted and blind algorithms are considered, covering a relatively broad range of feasible scenarios. Addressing the use of antenna arrays in scenarios in which the incident signals involved have real modulation, optimizations for the widely linear algorithms are proposed, thereby promoting reductions in the computational complexity, while maintaining the original algorithm performance. These optimizations are applied to trained, restricted and blind algorithms, and their performance is compared through simulations with the performances obtained using the original algorithms in their largely linear and strictly linear versions. Finally, an antenna array test platform is implemented in the hardware, allowing practical tests to be carried out. A set of measures taken with the antenna array test platform is exhibited, which include characterization of antennas, non-adaptive beamforming and interference mitigation using adaptive algorithms / Mestrado / Telecomunicações e Telemática / Mestre em Engenharia Elétrica

Orientadores: Guido Costa Souza de Araujo, Alexandre Xavier Falcão / Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação / Made available in DSpace on 2018-08-07T09:45:52Z (GMT). No. of bitstreams: 1 Cappabianco_FabioAugustoMenocci_M.pdf: 2472578 bytes, checksum: 8df546b29eccff4337413df4b5d9a7c3 (MD5) Previous issue date: 2006 / Resumo: Implementações de operadores de processamento de imagens em plataformas de hardware têm obtido ótimos resultados devido a sua atuação paralela em diversas regiões da imagem. Ao mesmo tempo, a IFT (Image Foresting Transform) tem provado ser uma técnica eficiente de reduzir problemas de processamento de imagens em um problema de floresta de caminhos de um grafo, cuja solução é obtida em tempo linear no o número de pixels. Este trabalho contém a implementação de uma plataforma, em hardware, chamada SIFT {Silicon Image Foresting Transform), que executa o algoritmo da IFT paralelamente. O modelo de processamento e armazenamento SIFT serve como base para outras arquiteturas de processamento de imagens e amplia o entendimento de alguns conceitos de mapas de predecessores e rótulos utilizados pela IFT. / Abstract: Great results had been achieved by the use of hardware platforms to implement image processing operators. This success was reached due to the use of multiple processors working parallel in several regions of the image. On the other hand, IFT (Image Foresting Transform), a software technique to reduce image processing problems into a graph path forest problem, performs image operations in linear time in the number of pixels in most of applications. The main goal of this work was to generate a hardware platform, that implements the an algorithm based on the IFT in a fast and efficient way. / Mestrado / Mestre em Ciência da Computação

Orientadores: Dalton Soares Arantes, Fabbryccio A. Cardoso / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação / Made available in DSpace on 2018-08-08T03:13:26Z (GMT). No. of bitstreams: 1 Garcia_FabioLumertz_M.pdf: 3287022 bytes, checksum: 7cf0e283ddc5a0d2f929f3cc22b17903 (MD5) Previous issue date: 2006 / Resumo: O objetivo deste trabalho é apresentar as diversas etapas de implementação de um codificador LDPC para um sistema de televisão digital, desenvolvido através do emprego de algumas tecnologias inovadoras de prototipagem rápida em FPGA. O codificador implementado foi baseado em um código LDPC eIRA, que consiste em uma classe estendida de códigos de repetição e acumulação irregulares, com palavra-código de 9792 bits e taxa de 3/4. Visando agregar outras tecnologias emergentes ao projeto de TV Digital, o sistema proposto foi desenvolvido para operar sobre o Protocolo de Internet - IP. Os esforços para a realização deste trabalho fizeram parte de um esforço mais amplo de um consórcio de universidades brasileiras, visando à concepção, ao projeto, à simulação e à implementação em hardware de um Sistema de Modulação Inovadora para o SBTVD. A grande sinergia obtida neste projeto e o uso intensivo de ferramentas de prototipagem rápida em FPGA possibilitaram a obtenção de uma prova de conceito implementada e testada em um prazo de apenas 12 meses / Abstract: This work presents the several phases in the implementation of an LDPC encoder for a digital television system, developed using innovative technologies for rapid prototyping on Field Programmable Gate Array devices - FPGAs. The implemented encoder was based on an eIRA - extended Irregular Repeat Accumulate - LDPC code with codeword-Iength equal to 9792 bits and rate 3/4. The proposed system was developed to work with video streaming over the Internet Protocol- IP. This work is part of a more ambitious project that resulted in the development of an advanced Modulation System for the Brazilian Digital TV System - BTVD / Mestrado / Telecomunicações e Telemática / Mestre em Engenharia Elétrica

Orientador: Luís Geraldo Pedroso Meloni / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação / Made available in DSpace on 2018-08-23T18:38:54Z (GMT). No. of bitstreams: 1 BarraganGuerrero_DiegoOrlando_M.pdf: 4412718 bytes, checksum: fd7daf7712cace2d176bf47e3bd792dd (MD5) Previous issue date: 2013 / Resumo: Os sistemas OFDM são intrinsecamente sensíveis a erros de sincronismo de tempo e frequência. O sincronismo é uma etapa fundamental para a correta recepção de pacotes. Esta dissertação descreve como se implementar vários algoritmos de sincronismo para OFDM em FPGA usando os símbolos do preâmbulo definidos no padrão IEEE 802.11a. Além disso, foi implementado o algoritmo CORDIC (necessário para a etapa de estimação e compensação de desvio de portadora) em modo rotacional e vetorial para um sistema coordenado circular, comparando o desempenho de várias arquiteturas com o intuito de otimizar a frequência de operação e relacionar o erro do resultado com o número de iterações realizadas. Conforme mostrado nos resultados, são obtidas estimativas com boas aproximações para desvios de 0, 100 e 200 kHz. Os resultados obtidos constituem um instrumento importante para a melhor escolha de implementação de algoritmos de sincronismo em FPGA. Verificou-se que os diferentes algoritmos não apenas possuem valores de variância distintos, mas também frequências de operação diferentes e consumo de recursos da FPGA. Ao longo do projeto foi considerado um modelo de canal tapped-delay / Abstract: OFDM systems are intrinsically sensitive to errors of synchronization in time and frequency. Synchronization is a key step for correct packet reception. This thesis describes how to implement in FPGA several synchronization algorithms for OFDM using the symbols of the preamble defined in IEEE 802.11a. In addition, the CORDIC algorithm is implemented (step required for carrier frequency offset estimation and compensation) in rotational and vectoring mode for a circular coordinate system, comparing the performance of various architectures in order to optimize the operating frequency and relate the error of the result with the number of iterations performed. As shown in the results, estimates are obtained with good approximations for offsets of 0, 100 and 200 kHz. The obtained results are an important instrument for the best choice of synchronization algorithm for implementation in FPGA. It was found that the different algorithms have not only different values of variance, but also different operating frequency and consumption of the FPGA resources. Throughout the project a tapped-delay channel model was considered in the analysis / Mestrado / Telecomunicações e Telemática / Mestre em Engenharia Elétrica

This thesis presents a new hardware accelerated approach using image processing and detection algorithms for implementing fast and robust traffic sign detection system with focus on speed limit sign detection. The proposed system targets reconfigurable integrated circuits particularly Field Programmable Gate Array (FPGA) devices. This work propose a fully parallelized and pipelined parallel system architecture to exploit the high performance and flexibility capabilities of FPGA devices. This thesis is divided into two phases, the first phase, is a software prototype implementation of the proposed system. The software system was designed and developed using C++ and OpenCV library on general purpose CPU. The prototype is used to explore and investigate potential segmentation and detection algorithms that might be feasible to design and implement in hardware accelerated environments. These algorithms includes RGB colour conversion, colour segmentation through thresholding, noise reduction through median filter, morphological operations through erosion and dilation, and sign detection through template matching. The second phase, a hardware-based design of the system was developed using the same algorithms used in the software design. The hardware design is composed of 20 image processing components each designed to xxx fully parallelized and pipelined xxx. The hardware implementation was developed using VHDL as the hardware description language targeting a Xilinix Virtex-6 FPGA XC6VLX240T device. The development environment is Xilinx ISE®Design Suite version 14.3. A set of 20 640x480 test images was used as the test data for the verification and testing of this work. The images was captured by a smart-phone camera in various weather and lightning conditions. The software implementation delivered speed limit detection results with a success rate of 75%. The hardware implementation was only simulated using Xilinx ISE Simulator (ISim) with a overall system latency of 12964 clock cycles. According to the Place and Route report the maximum operation frequency for the proposed hardware design is 71,2 MHz. The design only utilized 2% of the slice registers, 4% of the slice Look up Tables (LUT), and 11% of the block memory. This thesis project concludes the work based on the provided software and hardware implementation and performance analysis results. Also the conclusions chapter provides recommendations and future work for possible extension of the project.

The move from Standard Definition (SD) to High Definition (HD) represents a six times increases in data, which needs to be processed. With expanding resolutions and evolving compression, there is a need for high performance with flexible architectures to allow for quick upgrade ability. The technology advances in image display resolutions, advanced compression techniques, and video intelligence. Software implementation of these systems can attain accuracy with tradeoffs among processing performance (to achieve specified frame rates, working on large image data sets), power and cost constraints. There is a need for new architectures to be in pace with the fast innovations in video and imaging. It contains dedicated hardware implementation of the pixel and frame rate processes on Field Programmable Gate Array (FPGA) to achieve the real-time performance. The following outlines the contributions of the dissertation. (1) We develop a target detection system by applying a novel running average mean threshold (RAMT) approach to globalize the threshold required for background subtraction. This approach adapts the threshold automatically to different environments (indoor and outdoor) and different targets (humans and vehicles). For low power consumption and better performance, we design the complete system on FPGA. (2) We introduce a safe distance factor and develop an algorithm for occlusion occurrence detection during target tracking. A novel mean-threshold is calculated by motion-position analysis. (3) A new strategy for gesture recognition is developed using Combinational Neural Networks (CNN) based on a tree structure. Analysis of the method is done on American Sign Language (ASL) gestures. We introduce novel point of interests approach to reduce the feature vector size and gradient threshold approach for accurate classification. (4) We design a gesture recognition system using a hardware/ software co-simulation neural network for high speed and low memory storage requirements provided by the FPGA. We develop an innovative maximum distant algorithm which uses only 0.39% of the image as the feature vector to train and test the system design. Database set gestures involved in different applications may vary. Therefore, it is highly essential to keep the feature vector as low as possible while maintaining the same accuracy and performance

This thesis deals with the design, implementation and testing of an equipment that performs spectral analysis of a gamma radiation, based on the evaluation of pulses from a scintillation detector. The pulzes are pre-amplified and digitized, and their further processing takes place numerically in an FPGA, which allows a simple modification of the function of the developed device. After an introduction to the issue of gamma radiation spectroscopy with a focus on its detection, the thesis is devoted to the development of a multichannel analyzer hardware, whose individual parts are further described later. Next, the development of a digital signal processing system in the FPGA is described. Followed by an analysis of a microcontroller firmware, and a text protocol for the controlling of the device. Finally, the results of the work are discussed, with a focus on the test measurement of gamma radiation.

The modern embedded system is getting more complicated due to the functional requirements of the system are rapidly increasing. The modern system must have more reliable, as it deals with a lot of data. The distributed systems are used in variety technologies field due to it has more reliable than single control unit. It can transfer task to other processing unit when the one part of system failed while the single control unit failed cause the system to stop operate. The FPGA are being used increasingly in the distributed system due to the benefit of FPGA over microcontroller and ASIC. FPGA is flexible than ASIC due to the ability to reconfiguration its function. FPGA processes the data in parallel, therefore, it computes the data faster than the microcontroller that computes the data in concurrence. The flexibility of FPGA supports the development of reliable distributed system. When one of FPGA failed, the other FPGA can reconfiguration itself to operate on the task of the failed FPGA. The method to reconfigure the FPGA structure is a process of loading new bitstream file into FPGA. For generating variety configurations of distributed system. The developer must develop number of bitstream file according to number of reconfiguration designs. Although the FPGA is flexible and can reconfiguration anytime, the development process of configuration file is a redundancy workload. One FPGA design structure equals one configuration file. This project focus on reduce the redundancy workload, therefore, it can reduce the development time and make the development project launching faster. This virtual partial reconfiguration framework is developed to assist the developer in generating many configuration files without coding. The framework will determine all possible combination of modules and generates all combination design files. One set of the design contain the VHDL file and UCF file. The developer can use these files to synthesise in FPGA vendor development tool and generate bitstream. This virtual partial reconfiguration framework also provides the partial reconfiguration benefits except runtime reconfiguration.

This thesis presents a new hardware accelerated approach using image processing and detection algorithms for implementing fast and robust traffic sign detection system with focus on speed limit sign detection. The proposed system targets reconfigurable integrated circuits particularly Field Programmable Gate Array (FPGA) devices. This work propose a fully parallelized and pipelined parallel system architecture to exploit the high performance and flexibility capabilities of FPGA devices. This thesis is divided into two phases, the first phase, is a software prototype implementation of the proposed system. The software system was designed and developed using C++ and OpenCV library on general purpose CPU. The prototype is used to explore and investigate potential segmentation and detection algorithms that might be feasible to design and implement in hardware accelerated environments. These algorithms includes RGB colour conversion, colour segmentation through thresholding, noise reduction through median filter, morphological operations through erosion and dilation, and sign detection through template matching. The second phase, a hardware-based design of the system was developed using the same algorithms used in the software design. The hardware design is composed of 20 image processing components each designed to xxx fully parallelized and pipelined xxx. The hardware implementation was developed using VHDL as the hardware description language targeting a Xilinix Virtex-6 FPGA XC6VLX240T device. The development environment is Xilinx ISE®Design Suite version 14.3. A set of 20 640x480 test images was used as the test data for the verification and testing of this work. The images was captured by a smart-phone camera in various weather and lightning conditions. The software implementation delivered speed limit detection results with a success rate of 75%. The hardware implementation was only simulated using Xilinx ISE Simulator (ISim) with a overall system latency of 12964 clock cycles. According to the Place and Route report the maximum operation frequency for the proposed hardware design is 71,2 MHz. The design only utilized 2% of the slice registers, 4% of the slice Look up Tables (LUT), and 11% of the block memory. This thesis project concludes the work based on the provided software and hardware implementation and performance analysis results. Also the conclusions chapter provides recommendations and future work for possible extension of the project.