The demand for low-power A/D conversion techniques has motivated the exploration of charge-transfer amplifiers (CTAs) to construct efficient, precise voltage comparators. Despite notable advantages over classical, continuous-time architectures, little is understood about the dynamic behavior of CTAs or their utility in precision A/D converters. Accordingly, this dissertation presents several advancements related to the design and analysis of charge-transfer amplifiers for low-power data conversion. First, an analysis methodology is proposed which leads to a deterministic model of the voltage transfer function. The model is generalized to any timing scheme and can be extended to account for nonlinear threshold modulation. The model is compared with simulation results and test chip measurements, and shows good agreement over a broad range of circuit parameters. Three new charge-transfer amplifier architectures are proposed to address the limitations of existing designs: first, a truly differential CTA which improves upon the pseudo-differential configuration; second, a CTA which achieves more than 10x reduction in input capacitance with a moderate reduction in common mode range; third, a CTA which combines elements of the first two but also operates without a precharge voltage and achieves nearly rail to rail input range. Results from test chips fabricated in 0.6 um CMOS are described. Power dissipation in CTAs is considered and an idealized power consumption model is compared with measured test chip results. Four figures of merit (FOMs) are also proposed, incorporating power dissipation, active area, input charging energy and accuracy. The FOMs are used to compare the relative benefits and costs of particular charge-transfer amplifiers with respect to flash A/D converter applications. The first 10-bit CTA-based A/D converter is reported. It consumes low dynamic power of 600 uW/MSPS from a 2.1 V supply, 40% less than the current state of the art of 1 mW/MSPS. This subranging type converter incorporates capacitive interpolation to achieve a nearly ideal comparator count and power consumption. A distributed sample-and-hold (S/H) eliminates the need for a separate S/H amplifier. A test chip, fabricated in 0.6 um 2P/3M CMOS, occupies 2.7 mm2 and exhibits 8.2 effective bits at 2 MSPS.

Brigham Young University has developed a low-cost, light-weight, and low power consumption SAR for flight on a small unmanned aerial vehicle (UAV) at low altitudes. This micro-SAR, or uSAR, consumes only 18 watts of power, ideal for application on a small UAV. To meet these constraints, a linear frequency modulation-continuous wave (LFM-CW) transmit signal is utilized. Use of an LFM-CW signal introduces some differences from the typical strip map SAR processing model that must be addressed in signal processing algorithms. This thesis presents a derivation of the LFM-CW signal model and the associated image processing algorithms used for the uSAR developed at BYU. A data simulator for the BYU LFM-CW SAR is detailed and results are provided for the case when the simulated data are processed using the uSAR algorithms. Data processing schemes are discussed, including compression, receive signal phase detection, interference filtering and auto-focusing. Finally, data collected from the instrument itself are processed and presented.

This dissertation discusses and compares the existing compensation methods for operational amplifiers. It explores a method to stabilize the op amps without sacrificing bandwidth to the same degree that commonly used methods do. A creative design methodology combining intuition, mathematical analysis, and mixed level simulation is explored for the new compensation scheme. The mixed level approach, associating system level simulation for most circuits along with device level simulation for some critical analog circuit paths, is presented to verify the behavior of new design concepts in an effective way. This approach also provides sufficient accuracy to predict the circuit performance realistically. The new feedforward compensation method overcomes the serious drawback of the widely used pole splitting method, which greatly narrows the bandwidth. It can improve the phase margin as well as optimize the bandwidth of the op amp. The proposed feedforward compensation method can be easily applied to the popular two gain stage op amp architectures with very little alteration. MOS devices are used in the weak inversion region or the subthreshold inversion region to minimize dc source power. A feasible configuration for high gain, low power op amp design utilizing subthreshold operation along with active operation is proposed. This op amp uses composite cascode connections for the differential input stage, a common source second stage, and a current mirror. A prototype of the op amp was fabricated in a 0.25 µm CMOS process. The proposed op amp produces an open loop gain above one million with low power consumption around 110 µW and shows a favorable slew rate and GBW product compared to other amplifiers driving large capacitive loads. In addition, the composite cascode amplifier requires a compensation capacitor of only 3.5 pF which allows a very small op amp cell. This design is intended for applications where simplicity of layout, small cell size, and low power are important. The open loop gain of this design is comparable to bipolar op amps and exceeds all known reported CMOS designs using the classic Widlar architecture. The fabricated op amp test results show that the BSIM3 model in CADENCE Spectre Spice Simulation matches closely to the experimental results in spite of the low current weak inversion operation of the composite cascode output device and thus provide confidence in the simulation for other similar designs. While facing the challenge of measuring the op amp open loop characteristics at decreased power supply voltages, a few viable techniques were developed to measure the op amp open loop parameters using typically available bench test equipment.

Op amps are among the most-used components in electronic design. Their performance is important and is often measured in terms of gain, bandwidth, power consumption, and chip area. Although BJT amplifiers can achieve high gains and bandwidths, they tend to consume a lot of power. CMOS amplifiers utilizing the strong inversion region alone use less power than BJT amplifiers, but generally have lower gains and bandwidths. When CMOS SPICE models were improved to accurately simulate all regions of inversion, researchers began to test the performance of amplifiers operating in the weak and moderate inversion regions. Previous work had dealt with exploring the parameters of composite cascode stages, including inversion coefficients. This thesis extends the work to include conventional cascode stages and presents an efficient method for exploring design parameters. A high-gain (137.7 dB), low power (4.347 µW) operational amplifier based on the conventional cascode stage is presented.

Nowadays, integrated circuits (IC) are mostly implemented using Complementary Metal Oxide Semiconductor (CMOS) transistor technology. This technology has allowed the chip industry to shrink transistors and thus increase the device density, circuit complexity, operation speed, and computation power of the ICs. However, in recent years, the scaling of transistor has faced multiple roadblocks, which will eventually lead the scaling to an end as it approaches physical and economic limits. The dominance of sub-threshold leakage, which slows down the scaling of threshold voltage VTH and the supply voltage VDD, has resulted in high power density on chips. Furthermore, even widely popular solutions such as parallel and multi-core computing have not been able to fully address that problem. These drawbacks have overshadowed the benefits of transistor scaling. With the dawn of Internet of Things (IoT) era, the chip industry needs adjustments towards ultra-low-power circuits and systems. In this thesis, energy-efficient Micro-/Nano-electromechanical (M/NEM) relays are introduced, their non-leaking property and abrupt switch ON/OFF characteristics are studied, and designs and applications in the implementation of ultra-low-power integrated circuits and systems are explored. The proposed designs compose of core building blocks for any functional microprocessor, for instance, fundamental logic gates; arithmetic adder circuits; sequential latch and flip-flop circuits; input/output (I/O) interface data converters, including an analog-to-digital converter (ADC), and a digital-to-analog converter (DAC); system-level power management DC-DC converters and energy management power gating scheme. Another contribution of this thesis is the study of device non-ideality and variations in terms of functionality of circuits. We have thoroughly investigated energy-efficient approximate computing with non-ideal transistors and relays for the next generation of ultra-low-power VLSI systems.

Failure of a machine can lead to production downtime and significant financial losses. Condition monitoring is implemented to avoid such downtime and devices can be used to collect data used for monitoring machine health. Vibration data is the most common type of data used for predicting machine failure. To reduce the need for hazardous cables, such devices are often battery-operated, but this can decrease monitoring device lifespans to less than 3 years, if non-rechargeable batteries are used. This thesis first proposes a design framework for implementing radio frequency energy harvesting (RFEH) at a network level. All of the necessary inputs and parameters to ensure the successful implementation of RFEH for a wireless sensor network are explored. A second design framework is then proposed for using RFEH as a source of energy to power devices for condition monitoring. This includes a power analysis of all device components, as well as the design details for an implementation of wireless power transfer using a wireless transmitter and receiver. A comparison of different types of energy sources for the device is given, followed by a case study, using commercially-available components. A simulation is used to analyze the trade-offs for different values of RFEH parameters, trading off the total cost of implementation with the system's lifetime, based on total energy consumed.

The number of IoT (Internet of Things) devices available on the market has been growing rapidly in the past few years and is expected to grow even more in the years to come. These IoT devices are predominantly in the form of very small wireless peripherals with low power consumption making them suitable for running over extended periods of time using only coin cell batteries. In this degree project, conducted at Shortcut Labs AB, we investigate whether or not some of these devises could be suitable for being powered exclusively by kinetic energy without the need for any long term interim power storage, such as batteries or super capacitors. If this is possible it would not only remove the hassle of having to replace batteries at regular intervals, which is important if the devices are positioned at remote locations, but it could also help to reduce the amount of battery waste in the long run. For the sake of this project we have designed a hardware circuit that is able to communicate with other devices using a custom built protocol running on top of the Bluetooth Low Energy standard. This circuit does not require a battery and could potentially be used for many years without the need for any maintenance. To demonstrate this, the technology has successfully been applied to a concept product in the form of a dimmer wheel that can be used to change the brightness or color of Smart Home light bulbs. This is achieved by using a small electric motor as a generator in combination with an energy harvesting circuit in order to generate a stable voltage suitable for use with a wireless module. / Antalet uppkopplade IoT-enheter har ökat drastiskt de senaste åren och väntas fortsätta öka framöver. IoT, eller Sakernas Internet som det kallas på svenska, består övervägande av små trådlösa enheter med så pass låg strömförbrukning att de ofta kan drivas enbart av knappcellsbatterier. I detta examensarbete, utfört på Shortcut Labs AB, undersöker vi huruvida några av dessa enheter med fördel skulle kunna drivas uteslutande av rörelseenergi utan att kräva någon form av långtidsmellanlalgring av denna energi, så som exempelvis i ett batteri eller en kondensator. Om detta var möjligt så skulle det innebära att man slipper byta batterier vid jämna mellanrum, vilket kan vara viktigt om enheten i fråga är otillgänglig placerat. Givetvis kan också onödigt batteriavfall undvikas, något som alltid är eftertraktat i branschen. I detta projekt så har vi designat och konstruerat en elektronikkrets som trådlöst kan kommunicera med andra enheter via ett skräddarsytt protokoll som är implementerat ovanpå Bluetooth Low Energstandarden. Denna krets kräver inget batteri och skulle potentiellt sett kunna operera under många år utan behov av underhåll. För att demonstrera detta så har tekniken applicerats på en konceptprodukt i form av en dimmer som kan användas för att ändra antingen ljusstyrkan eller färgen hos så kallade smarta lampor. Detta uppnås genom att använda en liten DC-motor kombinerad med en energiskördande krets som genererar en lämplig stabil spänning, vilket krävs för att kretsen skall kunna operera.

Internet of Things (IoT) is a revolutionary paradigm approaching both industries and consumers everyday life. It refers to a network of addressable physical objects that contain embedded sensing, communication and actuating technologies, to sense and interact with the environment where being deployed. It can be considered as a modern expression of Mark Weiser's vision of ubiquitous computing where tiny networked computers become part of everyday objects, fusing together the virtual world and the physical word. Recent advances in hardware solutions have led to the emergence of powerful wireless IoT systems that are entirely energy-autonomous. These systems extract energy from their environment and operate intermittently, only as power is available. Battery-less sensors present an opportunity for the pervasive wide-spread of remote sensor deployments that require little maintenance and have low cost. As the number of IoT endpoint grows -- industry forecast trillions of connected smart devices in the next few years -- new challenges to program, manage and maintain such a huge number of connected devices are emerging. Web technologies can significantly ease this process by providing well-known patterns and tools - like cloud computing - for developers and users. However, the existing solutions are often too heavyweight or unfeasible for highly resource-constrained IoT devices. This dissertation presents a comprehensive analysis of two of the biggest problems that the IoT is currently facing: R1) How are we going to provide connectivity to all these devices? R2) How can we improve the quality of service provided by these tiny autonomous motes that rely only on limited energy scavenged from the environment? The first contribution is the study and deployment of a Low-Power Wide-Area-Network as a feasible solution to provide connectivity to all the expected IoT devices to be deployed in the following years. The proposed technology offers a novel communication paradigm to address discrete IoT applications, like long-range (i.e., kilometers) at low-power (i.e., tens of mW). Moreover, results highlight the effectiveness of the technology also in the industrial environment thanks to the high immunity to external noises. In the second contribution, we focus on smart metering presenting the design of three smart energy meters targeted to different scenarios. The first design presents an innovative, cost-effective smart meter with embedded non-intrusive load monitoring capabilities intended for the domestic sector. This system shows an innovative approach to provide useful feedback to reduce and optimize household energy consumption. We then present a battery-free non-intrusive power meter targeted for low-cost energy monitoring applications that lower both installation cost due to the non-intrusive approach and maintenance costs associated to battery replacement. Finally, we present an energy autonomous smart sensor with load recognition capability that dynamically adapts and reconfigures its processing pipeline to the sensed energy consumption. This enables the sensor to be energy neutral, while still providing power consumption information every 5 minutes. In the third contribution, we focus on the study of low-power visual edge processing and edge machine learning for the IoT. Two different implementations are presented. The first one discusses an energy-neutral IoT device for precision agriculture, while the second one presents a battery-less long-range visual IoT system, both leveraging on deep learning algorithms to avoid unnecessary wireless data communication. We show that there is a clear benefit from implementing a first layer of data processing directly in-situ where the data is acquired, providing a higher quality of service to the implemented application.

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