Analog-Digital System Modeling for Electromagnetic Susceptibility Prediction

The thesis is focused on the noise susceptibility of communication networks. These analog-mixed signal systems operate in an electrically noisy environment, in presence of multiple equipments connected by means of long wiring. Every module communicates using a transceiver as an interface between the local digital signaling and the data transmission through the network. Hence, the performance of the IC transceiver when affected by disturbances is one of the main factors that guarantees the EM immunity of the whole equipment. The susceptibility to RF and transient disturbances is addressed at component level on a CAN transceiver as a test case, highlighting the IC features critical for noise immunity. A novel procedure is proposed for the IC modeling for mixed-signal immunity simulations of communication networks. The procedure is based on a gray-box approach, modeling IC ports with a physical circuit and the internal links with a behavioural block. The parameters are estimated from time and frequency domain measurements, allowing accurate and efficient reproduction of non-linear device switching behaviours. The effectiveness of the modeling process is verified by applying the proposed technique to a CAN transceiver, involved in a real immunity test on a data communication link. The obtained model is successfully implemented in a commercial solver to predict both the functional signals and the RF noise immunity at component level. The noise immunity at system level is then evaluated on a complete communication network, analyzing the results of several tests on a realistic CAN bus. After developing models for wires and injection probes, a noise immunity test in avionic environment is carried out in a simulation environment, observing good overall accuracy and efficiency

An Analog VLSI Deep Machine Learning Implementation

Machine learning systems provide automated data processing and see a wide range of applications. Direct processing of raw high-dimensional data such as images and video by machine learning systems is impractical both due to prohibitive power consumption and the “curse of dimensionality,” which makes learning tasks exponentially more difficult as dimension increases. Deep machine learning (DML) mimics the hierarchical presentation of information in the human brain to achieve robust automated feature extraction, reducing the dimension of such data. However, the computational complexity of DML systems limits large-scale implementations in standard digital computers. Custom analog signal processing (ASP) can yield much higher energy efficiency than digital signal processing (DSP), presenting means of overcoming these limitations. The purpose of this work is to develop an analog implementation of DML system. First, an analog memory is proposed as an essential component of the learning systems. It uses the charge trapped on the floating gate to store analog value in a non-volatile way. The memory is compatible with standard digital CMOS process and allows random-accessible bi-directional updates without the need for on-chip charge pump or high voltage switch. Second, architecture and circuits are developed to realize an online k-means clustering algorithm in analog signal processing. It achieves automatic recognition of underlying data pattern and online extraction of data statistical parameters. This unsupervised learning system constitutes the computation node in the deep machine learning hierarchy. Third, a 3-layer, 7-node analog deep machine learning engine is designed featuring online unsupervised trainability and non-volatile floating-gate analog storage. It utilizes massively parallel reconfigurable current-mode analog architecture to realize efficient computation. And algorithm-level feedback is leveraged to provide robustness to circuit imperfections in analog signal processing. At a processing speed of 8300 input vectors per second, it achieves 1×1012 operation per second per Watt of peak energy efficiency. In addition, an ultra-low-power tunable bump circuit is presented to provide similarity measures in analog signal processing. It incorporates a novel wide-input-range tunable pseudo-differential transconductor. The circuit demonstrates tunability of bump center, width and height with a power consumption significantly lower than previous works

Modeling of reverse current effects in trench-based smart power technologies

The increase in complexity in todays automotive products is driven by the trend to implement new features in the area of safety, comfort and entertainment. This significantly raises the safety requirements of new ICs and the identification of possible sources of failures gains in priority. One of these failure sources is the injection of parasitic currents into the common substrate of a chip. This does not only occur during exceptions in the operation of the IC but also affects applications which require switching of inductive loads. The difficulty to handle substrate current injection originates from its nonlocality as it potentially influences the entire IC. In this thesis a point-to-point modeling scheme for Spice-based circuit simulation is proposed. It addresses parasitic coupling effects caused by minority carrier injection into the substrate of a deep-trench based BCD technology. Since minority carriers can diffuse over large distances in the common substrate and disturb circuits in their normal operation, a quantitative approach is necessary to address this parasitic effect early during design. An equivalent circuit based on the chip's design is extracted and the coupling effect between the perturbing devices and the susceptible nodes is represented by Verilog-AMS models. These models represent the three main components in the coupling path which are the forward biased diode at the perturbing device, the reverse biased diode at the susceptible node, and the intermediary common substrate of the chip. An automated layout extraction framework identifies the injectors of the minority carriers and the sensitive devices. Additionally, it determines the relevant parameters for the models. The curve fitting functions of the models are derived from calibrated TCAD simulations which are based on the measurement results of two dedicated test chips. The test chips were specifically designed to provide detailed analysis capabilities of this parasitic coupling effect. This led to a design which contains several different injector nodes and a large number of susceptible nodes spread over the entire area of the chip. Additionally, the chip incorporates the most commonly used layout-based guard structures to obtain an in-depth insight on their efficiency in recent BCD technologies. Based on the results obtained by measurements of the test chips the underlying physics of the coupling effect are discussed in detail. Minority carrier injection in the substrate is not much different to the operating principle of a bipolar transistor and the differences and similarities between them are presented. This forms the basis of the model development and explains how the equations of the Verilog-AMS models were derived. Finally, the entire simulation flow is evaluated and the simulation results are compared to measurements of the chip

Analysis of the high frequency substrate noise effects on LC-VCOs

La integració de transceptors per comunicacions de radiofreqüència en CMOS pot quedar seriosament limitada per la interacció entre els seus blocs, arribant a desaconsellar la utilització de un únic dau de silici. El soroll d’alta freqüència generat per certs blocs, com l’amplificador de potencia, pot viatjar pel substrat i amenaçar el correcte funcionament de l’oscil·lador local. Trobem tres raons importants que mostren aquest risc d’interacció entre blocs i que justifiquen la necessitat d’un estudi profund per minimitzar-lo. Les característiques del substrat fan que el soroll d’alta freqüència es propagui m’és fàcilment que el de baixa freqüència. Per altra banda, les estructures de protecció perden eficiència a mesura que la freqüència augmenta. Finalment, el soroll d’alta freqüència que arriba a l’oscil·lador degrada al seu correcte comportament. El propòsit d’aquesta tesis és analitzar en profunditat la interacció entre el soroll d’alta freqüència que es propaga pel substrat i l’oscil·lador amb l’objectiu de poder predir, mitjançant un model, l’efecte que aquest soroll pot tenir sobre el correcte funcionament de l’oscil·lador. Es volen proporcionar diverses guies i normes a seguir que permeti als dissenyadors augmentar la robustesa dels oscil·ladors al soroll d’alta freqüència que viatja pel substrat. La investigació de l’efecte del soroll de substrat en oscil·ladors s’ha iniciat des d’un punt de vista empíric, per una banda, analitzant la propagació de senyals a través del substrat i avaluant l’eficiència d’estructures per bloquejar aquesta propagació, i per altra, determinant l’efecte d’un to present en el substrat en un oscil·lador. Aquesta investigació ha mostrat que la injecció d’un to d’alta freqüència en el substrat es pot propagar fins arribar a l’oscil·lador i que, a causa del ’pulling’ de freqüència, pot modular en freqüència la sortida de l’oscil·lador. A partir dels resultats de l’anàlisi empíric s’ha aportat un model matemàtic que permet predir l’efecte del soroll en l’oscil·lador. Aquest model té el principal avantatge en el fet de que està basat en paràmetres físics de l’oscil·lador o del soroll, permetent determinar les mesures que un dissenyador pot prendre per augmentar la robustesa de l’oscil·lador així com les conseqüències que aquestes mesures tenen sobre el seu funcionament global (trade-offs). El model ha estat comparat tant amb simulacions com amb mesures reals demostrant ser molt precís a l’hora de predir l’efecte del soroll de substrat. La utilitat del model com a eina de disseny s’ha demostrat en dos estudis. Primerament, les conclusions del model han estat aplicades en el procés de disseny d’un oscil·lador d’ultra baix consum a 2.5GHz, aconseguint un oscil·lador robust al soroll de substrat d’alta freqüència i amb característiques totalment compatibles amb els principals estàndards de comunicació en aquesta banda. Finalment, el model s’ha utilitzat com a eina d’anàlisi per avaluar la causa de les diferències, en termes de robustesa a soroll de substrat, mesurades en dos oscil·ladors a 60GHz amb dues diferents estratègies d’apantallament de l’inductor del tanc de ressonant, flotant en un cas i connectat a terra en l’altre. El model ha mostrat que les diferències en robustesa són causades per la millora en el factor de qualitat i en l’amplitud d’oscil·lació i no per un augment en l’aïllament entre tanc i substrat. Per altra banda, el model ha demostrat ser vàlid i molt precís inclús en aquest rang de freqüència tan extrem. el principal avantatge en el fet de que està basat en paràmetres físics de l’oscil·lador o del soroll, permetent determinar les mesures que un dissenyador pot prendre per augmentar la robustesa de l’oscil·lador així com les conseqüències que aquestes mesures tenen sobre el seu funcionament global (trade-offs). El model ha estat comparat tant amb simulacions com amb mesures reals demostrant ser molt precís a l’hora de predir l’efecte del soroll de substrat. La utilitat del model com a eina de disseny s’ha demostrat en dos estudis. Primerament, les conclusions del model han estat aplicades en el procés de disseny d’un oscil·lador d’ultra baix consum a 2.5GHz, aconseguint un oscil·lador robust al soroll de substrat d’alta freqüència i amb característiques totalment compatibles amb els principals estàndards de comunicació en aquesta banda. Finalment, el model s’ha utilitzat com a eina d’anàlisi per avaluar la causa de les diferències, en termes de robustesa a soroll de substrat, mesurades en dos oscil·ladors a 60GHz amb dues diferents estratègies d’apantallament de l’inductor del tanc de ressonant, flotant en un cas i connectat a terra en l’altre. El model ha mostrat que les diferències en robustesa són causades per la millora en el factor de qualitat i en l’amplitud d’oscil·lació i no per un augment en l’aïllament entre tanc i substrat. Per altra banda, el model ha demostrat ser vàlid i molt precís inclús en aquest rang de freqüència tan extrem.The integration of transceivers for RF communication in CMOS can be seriously limited by the interaction between their blocks, even advising against using a single silicon die. The high frequency noise generated by some of the blocks, like the power amplifier, can travel through the substrate, reaching the local oscillator and threatening its correct performance. Three important reasons can be stated that show the risk of the single die integration. Noise propagation is easier the higher the frequency. Moreover, the protection structures lose efficiency as the noise frequency increases. Finally, the high frequency noise that reaches the local oscillator degrades its performance. The purpose of this thesis is to deeply analyze the interaction between the high frequency substrate noise and the oscillator with the objective of being able to predict, thanks to a model, the effect that this noise may have over the correct behavior of the oscillator. We want to provide some guidelines to the designers to allow them to increase the robustness of the oscillator to high frequency substrate noise. The investigation of the effect of the high frequency substrate noise on oscillators has started from an empirical point of view, on one hand, analyzing the noise propagation through the substrate and evaluating the efficiency of some structures to block this propagation, and on the other hand, determining the effect on an oscillator of a high frequency noise tone present in the substrate. This investigation has shown that the injection of a high frequency tone in the substrate can reach the oscillator and, due to a frequency pulling effect, it can modulate in frequency the output of the oscillator. Based on the results obtained during the empirical analysis, a mathematical model to predict the effect of the substrate noise on the oscillator has been provided. The main advantage of this model is the fact that it is based on physical parameters of the oscillator and of the noise, allowing to determine the measures that a designer can take to increase the robustness of the oscillator as well as the consequences (trade-offs) that these measures have over its global performance. This model has been compared against both, simulations and real measurements, showing a very high accuracy to predict the effect of the high frequency substrate noise. The usefulness of the presented model as a design tool has been demonstrated in two case studies. Firstly, the conclusions obtained from the model have been applied in the design of an ultra low power consumption 2.5 GHz oscillator robust to the high frequency substrate noise with characteristics which make it compatible with the main communication standards in this frequency band. Finally, the model has been used as an analysis tool to evaluate the cause of the differences, in terms of performance degradation due to substrate noise, measured in two 60 GHz oscillators with two different tank inductor shielding strategies, floating and grounded. The model has determined that the robustness differences are caused by the improvement in the tank quality factor and in the oscillation amplitude and no by an increased isolation between the tank and the substrate. The model has shown to be valid and very accurate even in these extreme frequency range.Postprint (published version

Simulating Cortical Feedback Modulation as Changes in Excitation and Inhibition in a Cortical Circuit Model.

Cortical feedback pathways are hypothesized to distribute context-dependent signals during flexible behavior. Recent experimental work has attempted to understand the mechanisms by which cortical feedback inputs modulate their target regions. Within the mouse whisker sensorimotor system, cortical feedback stimulation modulates spontaneous activity and sensory responsiveness, leading to enhanced sensory representations. However, the cellular mechanisms underlying these effects are currently unknown. In this study we use a simplified neural circuit model, which includes two recurrent excitatory populations and global inhibition, to simulate cortical modulation. First, we demonstrate how changes in the strengths of excitation and inhibition alter the input-output processing responses of our model. Second, we compare these responses with experimental findings from cortical feedback stimulation. Our analyses predict that enhanced inhibition underlies the changes in spontaneous and sensory evoked activity observed experimentally. More generally, these analyses provide a framework for relating cellular and synaptic properties to emergent circuit function and dynamic modulation

Design and Control of Power Converters for High Power-Quality Interface with Utility and Aviation Grids

Power electronics as a subject integrating power devices, electric and electronic circuits, control, and thermal and mechanic design, requires not only knowledge and engineering insight for each subarea, but also understanding of interface issues when incorporating these different areas into high performance converter design.Addressing these fundamental questions, the dissertation studies design and control issues in three types of power converters applied in low-frequency high-power transmission, medium-frequency converter emulated grid, and high-frequency high-density aviation grid, respectively, with the focus on discovering, understanding, and mitigating interface issues to improve power quality and converter performance, and to reduce the noise emission.For hybrid ac/dc power transmission,• Analyze the interface transformer saturation issue between ac and dc power flow under line unbalances.• Proposed both passive transformer design and active hybrid-line-impedance-conditioner to suppress this issue.For transmission line emulator,• Propose general transmission line emulation schemes with extension capability.• Analyze and actively suppress the effects of sensing/sampling bias and PWM ripple on emulation considering interfaced grid impedance.• Analyze the stability issue caused by interaction of the emulator and its interfaced impedance. A criterion that determines the stability and impedance boundary of the emulator is proposed.For aircraft battery charger,• Investigate architectures for dual-input and dual-output battery charger, and a three-level integrated topology using GaN devices is proposed to achieve high density.• Identify and analyze the mechanisms and impacts of high switching frequency, di/dt, dv/dt on sensing and power quality control; mitigate solutions are proposed.• Model and compensate the distortion due to charging transition of device junction capacitances in three-level converters.• Find the previously overlooked device junction capacitance of the nonactive devices in three-level converters, and analyze the impacts on switching loss, device stress, and current distortion. A loss calculation method is proposed using the data from the conventional double pulse tester.• Establish fundamental knowledge on performance degradation of EMI filters. The impacts and mechanisms of both inductive and capacitive coupling on different filter structures are understood. Characterization methodology including measuring, modeling, and prediction of filter insertion loss is proposed. Mitigation solutions are proposed to reduce inter-component coupling and self-parasitics

Confession Session: Learning from Others Mistakes

Accepted versio

BOOLEAN AND BRAIN-INSPIRED COMPUTING USING SPIN-TRANSFER TORQUE DEVICES

Several completely new approaches (such as spintronic, carbon nanotube, graphene, TFETs, etc.) to information processing and data storage technologies are emerging to address the time frame beyond current Complementary Metal-Oxide-Semiconductor (CMOS) roadmap. The high speed magnetization switching of a nano-magnet due to current induced spin-transfer torque (STT) have been demonstrated in recent experiments. Such STT devices can be explored in compact, low power memory and logic design. In order to truly leverage STT devices based computing, researchers require a re-think of circuit, architecture, and computing model, since the STT devices are unlikely to be drop-in replacements for CMOS. The potential of STT devices based computing will be best realized by considering new computing models that are inherently suited to the characteristics of STT devices, and new applications that are enabled by their unique capabilities, thereby attaining performance that CMOS cannot achieve. The goal of this research is to conduct synergistic exploration in architecture, circuit and device levels for Boolean and brain-inspired computing using nanoscale STT devices. Specifically, we first show that the non-volatile STT devices can be used in designing configurable Boolean logic blocks. We propose a spin-memristor threshold logic (SMTL) gate design, where memristive cross-bar array is used to perform current mode summation of binary inputs and the low power current mode spintronic threshold device carries out the energy efficient threshold operation. Next, for brain-inspired computing, we have exploited different spin-transfer torque device structures that can implement the hard-limiting and soft-limiting artificial neuron transfer functions respectively. We apply such STT based neuron (or ‘spin-neuron’) in various neural network architectures, such as hierarchical temporal memory and feed-forward neural network, for performing “human-like” cognitive computing, which show more than two orders of lower energy consumption compared to state of the art CMOS implementation. Finally, we show the dynamics of injection locked Spin Hall Effect Spin-Torque Oscillator (SHE-STO) cluster can be exploited as a robust multi-dimensional distance metric for associative computing, image/ video analysis, etc. Our simulation results show that the proposed system architecture with injection locked SHE-STOs and the associated CMOS interface circuits can be suitable for robust and energy efficient associative computing and pattern matching

Parametric analog signal amplification applied to nanoscale cmos wireless digital transceivers

Thesis presented in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the subject of Electrical and Computer Engineering by the Universidade Nova de Lisboa,Faculdade de Ciências e TecnologiaSignal amplification is required in almost every analog electronic system. However noise is also present, thus imposing limits to the overall circuit performance, e.g., on the sensitivity of the radio transceiver. This drawback has triggered a major research on the field, which has been producing several solutions to achieve amplification with minimum added noise. During the Fifties, an interesting out of mainstream path was followed which was based on variable reactance instead of resistance based amplifiers. The principle of these parametric circuits permits to achieve low noise amplifiers since the controlled variations of pure reactance elements is intrinsically noiseless. The amplification is based on a mixing effect which enables energy transfer from an AC pump source to other related signal frequencies. While the first implementations of these type of amplifiers were already available at that time, the discrete-time version only became visible more recently. This discrete-time version is a promising technique since it is well adapted to the mainstream nanoscale CMOS technology. The technique itself is based on the principle of changing the surface potential of the MOS device while maintaining the transistor gate in a floating state. In order words, the voltage amplification is achieved by changing the capacitance value while maintaining the total charge unchanged during an amplification phase. Since a parametric amplifier is not intrinsically dependent on the transconductance of the MOS transistor, it does not directly suffer from the intrinsic transconductance MOS gain issues verified in nanoscale MOS technologies. As a consequence, open-loop and opamp free structures can further emerge with this additional contribution. This thesis is dedicated to the analysis of parametric amplification with special emphasis on the MOS discrete-time implementation. The use of the latter is supported on the presentation of several circuits where the MOS Parametric Amplifier cell is well suited: small gain amplifier, comparator, discrete-time mixer and filter, and ADC. Relatively to the latter, a high speed time-interleaved pipeline ADC prototype is implemented in a,standard 130 nm CMOS digital technology from United Microelectronics Corporation (UMC). The ADC is fully based on parametric MOS amplification which means that one could achieve a compact and MOS-only implementation. Furthermore, any high speed opamp has not been used in the signal path, being all the amplification steps implemented with open-loop parametric MOS amplifiers. To the author’s knowledge, this is first reported pipeline ADC that extensively used the parametric amplification concept.Fundação para a Ciência e Tecnologia through the projects SPEED, LEADER and IMPAC