Hardware Acceleration of Encryption Algorithms Using Xilinx Zynq Technology

Tato práce se zabývá dvěma standardy pro zabezpečení uložených dat a datových toků Data Encryption Standard (dále zkratka DES) a Advanced Encryption Standard (dále zkratka AES). Prezentuje srovnání několika volně dostupných implementací pro oba algoritmy, které potom integruje do měřících zdrojových kódů v jazyce C. Měřící program potom změří rychlost provádění algoritmu a vypočítá bitovou rychlost pro různé délky vstupního bloku zprávy. Dále je součástí práce implementace obou šifrovacích algoritmů DES i AES v jazyce VHDL, simulace syntetizovaných návrhů a odvození bitové rychlosti obvodů pomocí výpisů z Vivado simulátoru. Výsledné vypočítané rychlosti hardwarových implementací jsou poté srovnány s naměřenou rychlostí softwarových implementací. Součástí práce jsou i zdrojové soubory kódu užitého při měření v jazyce C, kód VHDL implementace, program v jazyce C# pro generování VHDL komponent a další program v jazyce C# užitý při automatickém testování.The main concern of this paper are two world standard encryption algorithms Data Encryption Standard DES (DES for short) and Advanced Encryption Standard (further mentioned as AES). For these two respective algorithms, three publicly available implementations are integrated into a benchmarking code in C programming language. The code has been executed, implementations measured with three different input block lengths and bitrate calculated for each implementation. The thesis also includes hardware implementation of both encryption algorithms DES and AES using VHDL language, simulation of the synthesised circuits and calculation of the hardware implementations' bitrate using Vivado simulator's timing reports. These measured bitrates are then compared with the bitrates of benchmarked software implementations. Paper includes all source codes of the benchmarking C program and VHDL implementation, along with program written in C# used to generate VHDL components and another C# program used for automated testing. 

PWM controller design with Zynq SoC

The project is the development of a digital pulse-width modulation controller using Zynq technology, a system-on-chip that integrates a processor and programmable logic components. This technology enables offloading data processing to the hardware, to obtain the parallelization and acceleration of the control system to achieve a faster response. It also allows the creation of specific subsystems for tasks such as data flow, event synchronization, and management of input and output commands. The system can control up to two variable of a process through a dual mode control loop, which is implemented using a combination of software and hardware. The software can execute a configuration program and then run a high-level control algorithm that can be potentially complex. On the other hand, the programmable logic is pre-configured using a hardware description language that the compiler translates for the specific technology employed. By doing so, the project is flexible because both the hardware and software can be reprogrammed according to the requirements. These requirements can vary in nature, including increased performance, compatibility with interfacing devices, or the need to isolate subsystems for function verification. Finally, it was possible to verify the system and its components at each development stage, both internally using integrated logic analyzers and with the hardware-in-the-loop methodology.The project is the development of a digital pulse-width modulation controller using Zynq technology, a system-on-chip that integrates a processor and programmable logic components. This technology enables offloading data processing to the hardware, to obtain the parallelization and acceleration of the control system to achieve a faster response. It also allows the creation of specific subsystems for tasks such as data flow, event synchronization, and management of input and output commands. The system can control up to two variable of a process through a dual mode control loop, which is implemented using a combination of software and hardware. The software can execute a configuration program and then run a high-level control algorithm that can be potentially complex. On the other hand, the programmable logic is pre-configured using a hardware description language that the compiler translates for the specific technology employed. By doing so, the project is flexible because both the hardware and software can be reprogrammed according to the requirements. These requirements can vary in nature, including increased performance, compatibility with interfacing devices, or the need to isolate subsystems for function verification. Finally, it was possible to verify the system and its components at each development stage, both internally using integrated logic analyzers and with the hardware-in-the-loop methodology

Remote Side-Channel Attacks on Heterogeneous SoC

International audienceThanks to their performance and flexibility, FPGAs are increasingly adopted for hardware acceleration on various platforms such as system on chip and cloud datacenters. Their use for commercial and industrial purposes raises concern about potential hardware security threats. By getting access to the FPGA fabric, an attacker could implement malicious logic to perform remote hardware attacks. Recently, several papers demonstrated that FPGA can be used to eavesdrop or disturb the activity of resources located within and outside the chip. In a complex SoC that contains a processor and a FPGA within the same die, we experimentally demonstrate that FPGA-based voltage sensors can eavesdrop computations running on the CPU and that advanced side-channel attacks can be conducted remotely to retrieve the secret key of a symmetric crypto-algorithm

SoC-based real-time passive stereo image processing implementation and optimization

Stereo Image Processing as a part of three dimensional image processing become more and more important for industrial measuring, quality assurance and industrial automation. While classical image processing get it features from an image plane, additional information is obtained in direction of the optical axis. In comparison to active stereo methods, which need a projector or laser source and scanning device, passive stereo need at minimum two images from different perspectives. The paper starts with the basics of passive stereo, required optical setup and electronics. Some Information about the implementation of a stereo IP core in the used Xilinx SoC FPGA embedded system given. The program flow in ARM core and FPGA is illustrated. To get a high performance image processing system, the optimization of the parameters and the implementation settings on the used FPGA is very important. A comparison of several core parameter setups is done. Finally, some ways for further optimization with new hardware technologies are given

3D image acquisition and processing with high continuous data throughput for human-machine-interaction and adaptive manufacturing

Many applications in industrial environment are able to detect structures in measurement volumes from macroscopic to microscopic range. One way to process the resulting image data and to calculate three-dimensional (3D) images is the use of active stereo vision technology. In this context, one of the main challenges is to deal with the permanently increasing amount of data. This paper aims to describes methods for handling the required data throughput for 3D image acquisition in active stereo vision systems. Thus, the main focus is on implementing the steps of the image processing chain on re-configurable hardware. Among other things, this includes the pre-processing step with the correction of distortion and rectification of incoming image data. Therefore, the approach uses the offline pre-calculation of rectification maps. Furthermore, with the aid of the rectified maps, each image is directly rectified during the image acquisition. Afterwards, an FPGA and GPU-based approach is selected for optimal performance of stereo matching and 3D point calculation

Flexible Hardware Architectures for Retinal Image Analysis

RÉSUMÉ Des millions de personnes autour du monde sont touchées par le diabète. Plusieurs complications oculaires telle que la rétinopathie diabétique sont causées par le diabète, ce qui peut conduire à une perte de vision irréversible ou même la cécité si elles ne sont pas traitées. Des examens oculaires complets et réguliers par les ophtalmologues sont nécessaires pour une détection précoce des maladies et pour permettre leur traitement. Comme solution préventive, un protocole de dépistage impliquant l'utilisation d'images numériques du fond de l'œil a été adopté. Cela permet aux ophtalmologistes de surveiller les changements sur la rétine pour détecter toute présence d'une maladie oculaire. Cette solution a permis d'obtenir des examens réguliers, même pour les populations des régions éloignées et défavorisées. Avec la grande quantité d'images rétiniennes obtenues, des techniques automatisées pour les traiter sont devenues indispensables. Les techniques automatisées de détection des maladies des yeux ont été largement abordées par la communauté scientifique. Les techniques développées ont atteint un haut niveau de maturité, ce qui a permis entre autre le déploiement de solutions en télémédecine. Dans cette thèse, nous abordons le problème du traitement de volumes élevés d'images rétiniennes dans un temps raisonnable dans un contexte de dépistage en télémédecine. Ceci est requis pour permettre l'utilisation pratique des techniques développées dans le contexte clinique. Dans cette thèse, nous nous concentrons sur deux étapes du pipeline de traitement des images rétiniennes. La première étape est l'évaluation de la qualité de l'image rétinienne. La deuxième étape est la segmentation des vaisseaux sanguins rétiniens. L’évaluation de la qualité des images rétinienne après acquisition est une tâche primordiale au bon fonctionnement de tout système de traitement automatique des images de la rétine. Le rôle de cette étape est de classifier les images acquises selon leurs qualités, et demander une nouvelle acquisition en cas d’image de mauvaise qualité. Plusieurs algorithmes pour évaluer la qualité des images rétiniennes ont été proposés dans la littérature. Cependant, même si l'accélération de cette tâche est requise en particulier pour permettre la création de systèmes mobiles de capture d'images rétiniennes, ce sujet n'a pas encore été abordé dans la littérature. Dans cette thèse, nous ciblons un algorithme qui calcule les caractéristiques des images pour permettre leur classification en mauvaise, moyenne ou bonne qualité. Nous avons identifié le calcul des caractéristiques de l'image comme une tâche répétitive qui nécessite une accélération. Nous nous sommes intéressés plus particulièrement à l’accélération de l’algorithme d’encodage à longueur de séquence (Run-Length Matrix – RLM). Nous avons proposé une première implémentation complètement logicielle mise en œuvre sous forme d’un système embarqué basé sur la technologie Zynq de Xilinx. Pour accélérer le calcul des caractéristiques, nous avons conçu un co-processeur capable de calculer les caractéristiques en parallèle implémenté sur la logique programmable du FPGA Zynq. Nous avons obtenu une accélération de 30,1 × pour la tâche de calcul des caractéristiques de l’algorithme RLM par rapport à son implémentation logicielle sur la plateforme Zynq. La segmentation des vaisseaux sanguins rétiniens est une tâche clé dans le pipeline du traitement des images de la rétine. Les vaisseaux sanguins et leurs caractéristiques sont de bons indicateurs de la santé de la rétine. En outre, leur segmentation peut également aider à segmenter les lésions rouges, indicatrices de la rétinopathie diabétique. Plusieurs techniques de segmentation des vaisseaux sanguins rétiniens ont été proposées dans la littérature. Des architectures matérielles ont également été proposées pour accélérer certaines de ces techniques. Les architectures existantes manquent de performances et de flexibilité de programmation, notamment pour les images de haute résolution. Dans cette thèse, nous nous sommes intéressés à deux techniques de segmentation du réseau vasculaire rétinien, la technique du filtrage adapté et la technique des opérateurs de ligne. La technique de filtrage adapté a été ciblée principalement en raison de sa popularité. Pour cette technique, nous avons proposé deux architectures différentes, une architecture matérielle personnalisée mise en œuvre sur FPGA et une architecture basée sur un ASIP. L'architecture matérielle personnalisée a été optimisée en termes de surface et de débit de traitement pour obtenir des performances supérieures par rapport aux implémentations existantes dans la littérature. Cette implémentation est plus efficace que toutes les implémentations existantes en termes de débit. Pour l'architecture basée sur un processeur à jeu d’instructions spécialisé (Application-Specific Instruction-set Processor – ASIP), nous avons identifié deux goulets d'étranglement liés à l'accès aux données et à la complexité des calculs de l'algorithme. Nous avons conçu des instructions spécifiques ajoutées au chemin de données du processeur. L'ASIP a été rendu 7.7 × plus rapide par rapport à son architecture de base. La deuxième technique pour la segmentation des vaisseaux sanguins est l'algorithme détecteur de ligne multi-échelle (Multi-Scale Ligne Detector – MSLD). L'algorithme MSLD est choisi en raison de ses performances et de son potentiel à détecter les petits vaisseaux sanguins. Cependant, l'algorithme fonctionne en multi-échelle, ce qui rend l’algorithme gourmand en mémoire. Pour résoudre ce problème et permettre l'accélération de son exécution, nous avons proposé un algorithme efficace en terme de mémoire, conçu et implémenté sur FPGA. L'architecture proposée a réduit de façon drastique les exigences de l’algorithme en terme de mémoire en réutilisant les calculs et la co-conception logicielle/matérielle. Les deux architectures matérielles proposées pour la segmentation du réseau vasculaire rétinien ont été rendues flexibles pour pouvoir traiter des images de basse et de haute résolution. Ceci a été réalisé par le développement d'un compilateur spécifique capable de générer une description HDL de bas niveau de l'algorithme à partir d'un ensemble de paramètres. Le compilateur nous a permis d’optimiser les performances et le temps de développement. Dans cette thèse, nous avons introduit deux architectures qui sont, au meilleur de nos connaissances, les seules capables de traiter des images à la fois de basse et de haute résolution.----------ABSTRACT Millions of people all around the world are affected by diabetes. Several ocular complications such as diabetic retinopathy are caused by diabetes, which can lead to irreversible vision loss or even blindness if not treated. Regular comprehensive eye exams by eye doctors are required to detect the diseases at earlier stages and permit their treatment. As a preventing solution, a screening protocol involving the use of digital fundus images was adopted. This allows eye doctors to monitor changes in the retina to detect any presence of eye disease. This solution made regular examinations widely available, even to populations in remote and underserved areas. With the resulting large amount of retinal images, automated techniques to process them are required. Automated eye detection techniques are largely addressed by the research community, and now they reached a high level of maturity, which allows the deployment of telemedicine solutions. In this thesis, we are addressing the problem of processing a high volume of retinal images in a reasonable time. This is mandatory to allow the practical use of the developed techniques in a clinical context. In this thesis, we focus on two steps of the retinal image pipeline. The first step is the retinal image quality assessment. The second step is the retinal blood vessel segmentation. The evaluation of the quality of the retinal images after acquisition is a primary task for the proper functioning of any automated retinal image processing system. The role of this step is to classify the acquired images according to their quality, which will allow an automated system to request a new acquisition in case of poor quality image. Several algorithms to evaluate the quality of retinal images were proposed in the literature. However, even if the acceleration of this task is required, especially to allow the creation of mobile systems for capturing retinal images, this task has not yet been addressed in the literature. In this thesis, we target an algorithm that computes image features to allow their classification to bad, medium or good quality. We identified the computation of image features as a repetitive task that necessitates acceleration. We were particularly interested in accelerating the Run-Length Matrix (RLM) algorithm. We proposed a first fully software implementation in the form of an embedded system based on Xilinx's Zynq technology. To accelerate the features computation, we designed a co-processor able to compute the features in parallel, implemented on the programmable logic of the Zynq FPGA. We achieved an acceleration of 30.1× over its software implementation for the features computation part of the RLM algorithm. Retinal blood vessel segmentation is a key task in the pipeline of retinal image processing. Blood vessels and their characteristics are good indicators of retina health. In addition, their segmentation can also help to segment the red lesions, indicators of diabetic retinopathy. Several techniques have been proposed in the literature to segment retinal blood vessels. Hardware architectures have also been proposed to accelerate blood vessel segmentation. The existing architectures lack in terms of performance and programming flexibility, especially for high resolution images. In this thesis, we targeted two techniques, matched filtering and line operators. The matched filtering technique was targeted mainly because of its popularity. For this technique, we proposed two different architectures, a custom hardware architecture implemented on FPGA, and an Application Specific Instruction-set Processor (ASIP) based architecture. The custom hardware architecture area and timing were optimized to achieve higher performances in comparison to existing implementations. Our custom hardware implementation outperforms all existing implementations in terms of throughput. For the ASIP based architecture, we identified two bottlenecks related to data access and computation intensity of the algorithm. We designed two specific instructions added to the processor datapath. The ASIP was made 7.7× more efficient in terms of execution time compared to its basic architecture. The second technique for blood vessel segmentation is the Multi-Scale Line Detector (MSLD) algorithm. The MSLD algorithm is selected because of its performance and its potential to detect small blood vessels. However, the algorithm works at multiple scales which makes it memory intensive. To solve this problem and allow the acceleration of its execution, we proposed a memory-efficient algorithm designed and implemented on FPGA. The proposed architecture reduces drastically the memory requirements of the algorithm by reusing the computations and SW/HW co-design. The two hardware architectures proposed for retinal blood vessel segmentation were made flexible to be able to process low and high resolution images. This was achieved by the development of a specific compiler able to generate low-level HDL descriptions of the algorithm from a set of the algorithm parameters. The compiler enabled us to optimize performance and development time. In this thesis, we introduce two novel architectures which are, to the best of our knowledge, the only ones able to process both low and high resolution images

Processamento de dados em Zynq APSoC

Mestrado em Engenharia de Computadores e TelemáticaField-Programmable Gate Arrays (FPGAs) were invented by Xilinx in 1985, i.e. less than 30 years ago. The influence of FPGAs on many directions in engineering is growing continuously and rapidly. There are many reasons for such progress and the most important are the inherent reconfigurability of FPGAs and relatively cheap development cost. Recent field-configurable micro-chips combine the capabilities of software and hardware by incorporating multi-core processors and reconfigurable logic enabling the development of highly optimized computational systems for a vast variety of practical applications, including high-performance computing, data, signal and image processing, embedded systems, and many others. In this context, the main goals of the thesis are to study the new micro-chips, namely the Zynq-7000 family and to apply them to two selected case studies: data sort and Hamming weight calculation for long vectors.Field-Programmable Gate Arrays (FPGAs) foram inventadas pela Xilinx em 1985, ou seja, há menos de 30 anos. A influência das FPGAs está a crescer continua e rapidamente em muitos ramos de engenharia. Há varias razões para esta evolução, as mais importantes são a sua capacidade de reconfiguração inerente e os baixos custos de desenvolvimento. Os micro-chips mais recentes baseados em FPGAs combinam capacidades de software e hardware através da incorporação de processadores multi-core e lógica reconfigurável permitindo o desenvolvimento de sistemas computacionais altamente otimizados para uma grande variedade de aplicações práticas, incluindo computação de alto desempenho, processamento de dados, de sinal e imagem, sistemas embutidos, e muitos outros. Neste contexto, este trabalho tem como o objetivo principal estudar estes novos micro-chips, nomeadamente a família Zynq-7000, para encontrar as melhores formas de potenciar as vantagens deste sistema usando casos de estudo como ordenação de dados e cálculo do peso de Hamming para vetores longos

Energieeffiziente integrierte Schaltungen zur Basisbandsignalverarbeitung und Zeitsynchronisation für drahtgebundene Ethernet-Echtzeitkommunikation

In dieser Arbeit wird eine genaue Zeitsynchronisation über kupferbasierte Ethernetsysteme sowie der Entwurf von Schaltungen für die Bitübertragungsschicht (Physical Layer, PHY) in solchen Ethernetsystemen untersucht. Dabei wird der Entwurf eines integrierten Schaltkreises für den Standard 100Base-TX vorgestellt. Dieser PHY-Chip ermöglicht die Datenübertragung mit einer Datenrate von 100 MBit/s über verdrillte Kupferkabel und stellt darüber hinaus eine genaue Uhr bereit, welche zwischen den verbundenen Netzknoten synchronisiert werden kann. Dieser Schaltkreis ist insbesondere für Industrieanwendungen gedacht, bei denen verschiedene Prozesse zeitlich synchronisiert werden müssen. Prinzipiell ist der PHY-Chip jedoch universell für verschiedenste Anwendungen zur Zeitsynchronisation einsetzbar. Um die Genauigkeit der Zeitsynchronisation gegenüber herkömmlichen Ansätzen zu steigern, werden verschiedene Techniken untersucht und in dem entworfenen Schaltkreis eingesetzt. So wird die Phase der Taktsignale in feinen Schritten eingestellt und auch gemessen, sodass die Auflösung der Zeitstempel erheblich verbessert wird. Zu diesem Zweck wird ein sogenannter Digital-To-Phase Converter (DPC) eingesetzt, der 256 verschiedene Taktphasen des 125 MHz Systemtaktes bereitstellt. Für die eigentliche Zeitsynchronisation wird ein Proportional-Integral-Regler verwendet. Basierend auf einer theoretischen Rauschanalyse wird eine Methode vorgestellt, mit der die Parameter dieses Reglers so dimensioniert werden können, dass der Zeitfehler im eingeschwungenen Zustand möglichst klein wird. Darüber hinaus werden weitere Störeinflüsse analysiert und es werden geeignete Maßnahmen entwickelt, um diese zu kompensieren. So wird eine adaptive Kompensation eines Eintonstörers sowie eine Kalibrierung zur automatischen Kompensation von Asymmetrien im Kabel vorgestellt. All diese Punkte helfen, eine hervorragende Genauigkeit der Zeitsynchronisation zu ermöglichen, was durch umfangreiche Messungen verifiziert wird. Insgesamt weist der gemessene Zeitfehler in einem Punkt-zu-Punkt-Szenario eine Standardabweichung von 64 ps und einen Mittelwert unterhalb von 100 ps auf. Dies stellt eine erhebliche Verbesserung gegenüber konventionellen Lösungen zur Zeitsynchronisation über kupferbasiertes Ethernet dar, mit denen Genauigkeiten im Nanosekundenbereich erreicht werden. Als zweites Ziel dieser Arbeit wird der PHY-Chip für eine möglichst niedrige Leistungsaufnahme optimiert. Um dies zu erreichen, werden insbesondere der Leitungstreiber im Sender und der Equalizer im Empfänger systematisch optimiert. So werden zwei verschiedene Topologien von Leitungstreibern untersucht und verglichen. Beide weisen eine Leistungsaufnahme von etwa 24 mW auf. Im Vergleich zum Stand der Technik sind dies die beiden niedrigsten Werte für Leitungstreiber für den Standard 100Base-TX. Der gesamte PHY-Chip, der in einer 180 nm Technologie implementiert wurde, weist durch die zahlreichen Optimierungen eine geringe Leistungsaufnahme von maximal 69 mW auf, was ebenfalls einen Rekordwert im Vergleich mit dem Stand der Technik darstellt (80 mW). Die einzelnen Schaltungen wurden sowohl simulativ als auch mit ausführlichen Messungen verifiziert. Für den gesamten Link wird eine Bitfehlerrate besser als 10⁻¹² bei verschiedenen Kabeln bis zu 120 m Länge erreicht.:Abbildungsverzeichnis Tabellenverzeichnis Abkürzungen Symbole 1 Einleitung 1.1 Zeit und Zeitsynchronisation 1.2 Ziele dieser Arbeit 1.3 Gliederung 2 Grundlagen 2.1 100Base-TX Ethernet-Standard 2.1.1 Schnittstelle zur MAC-Schicht 2.1.2 4B5B-Kodierung 2.1.3 Scrambler und Descrambler 2.1.4 MLT-3-Kodierung 2.1.5 Bitfehlerrate und Signal-Rausch-Verhältnis 2.2 Kanalmodellierung 2.2.1 Dämpfung 2.2.2 Baseline-Wander 2.3 Zeitsynchronisierung 2.3.1 Bestimmung der Zeitdifferenz 2.3.2 Vergrößerung der Synchronisationsgenauigkeit 3 Schaltungsentwurf und Charakterisierung 3.1 Energieeffiziente Leitungstreiber 3.1.1 Vergleich von Leitungstreibern mit passiver Anpassung 3.1.2 Spannungstreiber 3.1.3 Leitungstreiber mit aktiver Anpassung 3.1.4 Vergleich der Leitungstreiber und Fazit 3.2 Takterzeugung 3.2.1 Ringoszillator 3.2.2 Phasenregelschleife 3.2.3 Phaseninterpolator 3.2.4 Messung 3.2.5 Verbesserter 10 Bit DPC 3.3 Takt- und Datenrückgewinnung 3.3.1 Phasendetektor 3.3.2 Modellierung des DPC 3.3.3 Dimensionierung des Schleifenfilters 3.3.4 Implementierung 3.4 Adaptiver Equalizer 3.4.1 Kompensation der Kabeldämpfung 3.4.2 Implementierung des analogen Filters 3.4.3 Digitale Regelung der Equalizer-Parameter 3.4.4 Messung des Equalizers 3.5 Zeitsynchronisation 3.5.1 Uhr und Steuerung der Frequenz 3.5.2 Digitale Schaltungen zur Zeitstempelung 3.5.3 Implementierung der Zeitsynchronisation 3.5.4 Adaptive Unterdrückung eines Eintonstörers 3.5.5 Automatische Kalibrierung von Asymmetrien 3.5.6 Vergleich mit dem Stand der Technik 3.6 Gesamter PHY-Schaltkreis 3.6.1 Leistungsaufnahme 3.6.2 Vergleich mit dem Stand der Technik 4 Zusammenfassung und Ausblick Literaturverzeichnis Eigene VeröffentlichungenThis work investigates accurate time synchronization over copper-based Ethernet systems as well as the design of circuits for the physical layer (PHY) in such Ethernet systems. The design of an integrated circuit (IC) for the 100Base-TX standard is presented. This PHY-IC enables data transmission at a data rate of 100 MBit/s over twisted pair copper cables and, additionally, provides an accurate clock which can be synchronized between connected network nodes. This circuit is designed for industrial applications where various processes need to be synchronized in time. In principle, however, the PHY-IC can be used universally for various time synchronization applications. In order to increase the accuracy of the time synchronization compared to conventional approaches, various techniques are investigated and used in the designed circuit. For example, the phase of the clock signals is adjusted and measured in fine steps, such that the resolution of the timestamps is improved by a large amount. For this purpose, a digital-to-phase converter (DPC) is used, which provides 256 different clock phases of the 125 MHz system clock. A proportional integral controller is used for the actual time synchronization application. Based on a theoretical noise analysis, a method is presented to dimension the parameters of this controller to minimize the timing error in the steady state. Furthermore, other disturbing influences are analyzed and suitable measures are developed to compensate them. Thus, an adaptive compensation of a single-tone interferer is presented as well as a calibration to automatically compensate for asymmetries in the cable. All these points help to provide excellent accuracy of the time synchronization, which is verified by extensive measurements. Overall, the measured time error in a point-to-point scenario has a standard deviation of 64 ps and a mean value below 100 ps. This represents a significant improvement over conventional solutions for time synchronization over copper-based Ethernet, which achieve accuracies in the nanosecond range. As a second goal of this work, the PHY-IC is optimized for lowest power consumption. In particular, the line driver in the transmitter and the equalizer in the receiver are systematically optimized to achieve this. Thus, two different topologies of line drivers are investigated and compared. Both have a power consumption of about 24 mW. These represent the two lowest values for line drivers for the 100Base-TX standard compared to the state of the art. The entire PHY-IC is implemented in a 180 nm technology and shows a power consumption below 69 mW due to the numerous optimizations. This also represents a record value compared to the state of the art (80 mW). The individual circuits were verified with simulations and with detailed measurements. For the entire link, a bit error rate better than 10⁻¹² is achieved for various cables up to 120 m length.:Abbildungsverzeichnis Tabellenverzeichnis Abkürzungen Symbole 1 Einleitung 1.1 Zeit und Zeitsynchronisation 1.2 Ziele dieser Arbeit 1.3 Gliederung 2 Grundlagen 2.1 100Base-TX Ethernet-Standard 2.1.1 Schnittstelle zur MAC-Schicht 2.1.2 4B5B-Kodierung 2.1.3 Scrambler und Descrambler 2.1.4 MLT-3-Kodierung 2.1.5 Bitfehlerrate und Signal-Rausch-Verhältnis 2.2 Kanalmodellierung 2.2.1 Dämpfung 2.2.2 Baseline-Wander 2.3 Zeitsynchronisierung 2.3.1 Bestimmung der Zeitdifferenz 2.3.2 Vergrößerung der Synchronisationsgenauigkeit 3 Schaltungsentwurf und Charakterisierung 3.1 Energieeffiziente Leitungstreiber 3.1.1 Vergleich von Leitungstreibern mit passiver Anpassung 3.1.2 Spannungstreiber 3.1.3 Leitungstreiber mit aktiver Anpassung 3.1.4 Vergleich der Leitungstreiber und Fazit 3.2 Takterzeugung 3.2.1 Ringoszillator 3.2.2 Phasenregelschleife 3.2.3 Phaseninterpolator 3.2.4 Messung 3.2.5 Verbesserter 10 Bit DPC 3.3 Takt- und Datenrückgewinnung 3.3.1 Phasendetektor 3.3.2 Modellierung des DPC 3.3.3 Dimensionierung des Schleifenfilters 3.3.4 Implementierung 3.4 Adaptiver Equalizer 3.4.1 Kompensation der Kabeldämpfung 3.4.2 Implementierung des analogen Filters 3.4.3 Digitale Regelung der Equalizer-Parameter 3.4.4 Messung des Equalizers 3.5 Zeitsynchronisation 3.5.1 Uhr und Steuerung der Frequenz 3.5.2 Digitale Schaltungen zur Zeitstempelung 3.5.3 Implementierung der Zeitsynchronisation 3.5.4 Adaptive Unterdrückung eines Eintonstörers 3.5.5 Automatische Kalibrierung von Asymmetrien 3.5.6 Vergleich mit dem Stand der Technik 3.6 Gesamter PHY-Schaltkreis 3.6.1 Leistungsaufnahme 3.6.2 Vergleich mit dem Stand der Technik 4 Zusammenfassung und Ausblick Literaturverzeichnis Eigene Veröffentlichunge