A Low Power Mid-Rail Dual Slope Analog-To-Digital Converter for Biomedical Instrumentation

There are an estimated 15 million babies born preterm every year and it is on the rise. The complications that arise from this can be quite severe and are the leading causes of death among children under 5 years of age. Among these complications is a condition known as apnea. This disorder is defined as the suspension of breathing during sleep for usually 10 to 30 seconds and can occur up to 20-30 times per hour for preterm infants. This lack of oxygen in the bloodstream can have troubling effects, such as brain damage and death if the apnea period is longer than expected. This creates a dire need to continuously monitor the respiration state of babies born prematurely. Given that the breathing signal is in analog form, a conversion to its digital counterpart is necessary.In this thesis, a novel low power analog-to-digital converter (ADC) for the digitization and analyzation of the respiration signal is presented. The design of the ADC demonstrates an innovative approach on how to operate on a single polarity supply system, which effectively doubles the sampling speed. The ADC has been realized in a standard 130 nm CMOS process

Modeling and Design of High-Performance DC-DC Converters

The goal of the research that was pursued during this PhD is to eventually facilitate the development of high-performance, fast-switching DC-DC converters. High-switching frequency in switching mode power supplies (SMPS) can be exploited by reducing the output voltage ripple for the same size of passives (mainly inductors and capacitors) and improve overall system performance by providing a voltage supply with less unwanted harmonics to the subsystems that they support. The opposite side of the trade-off is also attractive for designers as the same amount of ripple can be achieved with smaller values of inductance and/or capacitance which can result in a physically smaller and potentially cheaper end product. Another benefit is that the spectrum of the resulting switching noise is shifted to higher frequencies which in turn allows designers to push the corner frequency of the control loop of the system higher without the switching noise affecting the behavior of the system. This in turn, is translated to a system capable of responding faster to strong transients that are common in modern systems that may contain microprocessors or other electronics that tend to consume power in bursts and may even require the use of features like dynamic voltage scaling to minimize the overall consumption of the system. While the analysis of the open loop behavior of a DC-DC converter is relatively straightforward, it is of limited usefulness as they almost always operate in closed loop and therefore can suffer from degraded stability. Therefore, it is important to have a way to simulate their closed loop behavior in the most efficient manner possible. The first chapter is dedicated to a library of technology-agnostic high-level models that can be used to improve the efficiency of transient simulations without sacrificing the ability to model and localize the different losses. This work also focuses further in fixed-frequency converters that employ Peak Current Mode Control (PCM) schemes. PCM schemes are frequently used due to their simple implementation and their ability to respond quickly to line transients since any change of the battery voltage is reflected in the slope of the rising inductor current which in turn is monitored by a fast internal control loop that is closed with the help of a current sensor. Most existing models for current sensors assume that they behave in an ideal manner with infinite bandwidth and ideal constant gain. These assumptions tend to be in significant error as the minimum on-time of the sensor and therefore the settling time requirements of the sensor are reduced. Some sensing architectures, like the ones that approximate the inductor current with the high-side switch current, can be even more complex to analyze as they require the use of extended masking time to prevent spike currents caused by the switch commutation to be injected to the output of the sensor and therefore the signal processing blocks of the control loop. In order to solve this issue, this work also proposes a current sensor model that is compatible with time averaged models of DC-DC converters and is able to predict the effects of static and transient non-idealities of the block on the behavior of a PCM DC-DC converter. Lastly, this work proposes a new 40 V, 6 A, fully-integrated, high-side current sensing circuit with a response time of 51 . The proposed sensor is able to achieve this performance with the help of a feedback resistance emulation technique that prevents the sensor from debiasing during its masking phase which tends to extend the response time of similar fully integrated sensors

Silicon-on-Insulator Power Management Integrated Circuit for Thin-Film Solid-State Lithium-Ion Micro-Batteries

This thesis presents the design and implementation of a power management integrated circuit (IC) that is capable of both current and voltage charging thin-film, solid-state, lithium-ion micro-batteries. The power management system has been fabricated using a single-poly, 0.35-ìm, partially-depleted, silicon-on-insulator process (PD-SOI). The system contains a temperature stable current charger (current generator and a 4-bit current-mode DAC), a regulated voltage supply (voltage amplifier), and a voltage monitoring circuit (2-bit flash ADC). Experimental results of the first version of the power management system show proper functionality was obtained. The current charger produced a 2% worst-case variation in output current over the temperature range 0–100°C. The regulated voltage output was measured to be 4.4 V and the digital outputs of the flash ADC transitioned at 3.45 and 4.76 V

Dynamic calibration of current-steering DAC

The demand for high-speed communication systems has dramatically increased during the last decades. Working as an interface between the digital and analog world, Digital-to-Analog converters (DACs) are becoming more and more important because they are a key part which limits the accuracy and speed of an overall system. Consequently, the requirements for high-speed and high-accuracy DACs are increasingly demanding. It is well recognized that dynamic performance of the DACs degrades dramatically with increasing input signal frequencies and update rates. The dynamic performance is often characterized by the spurious free dynamic range (SFDR). The SFDR is determined by the spectral harmonics, which are attributable to system nonlinearities.;A new calibration approach is presented in this thesis that compensates for the dynamic errors in performance. In this approach, the nonlinear components of the input dependent and previous input code dependent errors are characterized, and correction codes that can be used to calibrate the DAC for these nonlinearities are stored in a two-dimensional error look-up table. A series of pulses is generated at run time by addressing the error look-up table with the most significant bits of the Boolean input and by using the corresponding output to drive a calibration DAC whose output is summed with the original DAC output. The approach is applied at both the behavioral level and the circuit level in current-steering DAC.;The validity of this approach is verified by simulation. These simulations show that the dynamic nonlinearities can be dramatically reduced with this calibration scheme. The simulation results also show that this calibration approach is robust to errors in both the width and height of calibration pulses.;Experimental measurement results are also provided for a special case of this dynamic calibration algorithm that show that the dynamic performance can be improved through dynamic calibration, provided the mean error values in the table are close to their real values

Design, analysis and optimization of a dynamically reconfi gurable regenerative comparator for ultra-low power 6-bit TC-ADCs in 90nm CMOS technology

In this work the threshold configurable regenerative comparator on which TC-ADCs are based is optimized to further reduce the power consumption for use in battery-less biomedical sensor applications.\nMoreover, the effect of device mismatches on the offset, gain and linearity errors of the ADC is analyzed by means of Monte Carlo simulations.\nThis optimized comparator reduces the power consumption from 13uW to 3uW, while maintaining the same full scale rang

High linearity analog and mixed-signal integrated circuit design

Linearity is one of the most important specifications in electrical circuits.;In Chapter 1, a ladder-based transconductance networks has been adopted first time to build a low distortion analog filters for low frequency applications. This new technique eliminated the limitation of the application with the traditional passive resistors for low frequency applications. Based on the understanding of this relationship, a strategy for designing high linear analog continuous-time filters has been developed. According to our strategy, a prototype analog integrated filter has been designed and fabricated with AMI05 0.5 um standard CMOS process. Experimental results proved this technique has the ability to provide excellent linearity with very limited active area.;In Chapter 2, the relationships between the transconductance networks and major circuit specifications have been explored. The analysis reveals the trade off between the silicon area saved by the transconductance networks and the some other important specifications such as linearity, noise level and the process variations of the overall circuit. Experimental results of discrete component circuit matched very well with our analytical outcomes to predict the change of linearity and noise performance associated with different transconductance networks.;The Chapter 3 contains the analysis and mathematical proves of the optimum passive area allocations for several most popular analog active filters. Because the total area is now manageable by the technique introduced in the Chapter 1, the further reduce of the total area will be very important and useful for efficient utilizing the silicon area, especially with the today\u27s fast growing area efficiency of the highly density digital circuits. This study presents the mathematical conclusion that the minimum passive area will be achieved with the equalized resistor and capacitor.;In the Chapter 4, a well recognized and highly honored current division circuit has been studied. Although it was claimed to be inherently linear and there are over 60 published works reported with high linearity based on this technique, our study discovered that this current division circuit can achieve, if proper circuit condition being managed, very limited linearity and all the experimental verified performance actually based on more general circuit principle. Besides its limitation, however, we invented a novel current division digital to analog converter (DAC) based on this technique. Benefiting from the simple circuit structure and moderate good linearity, a prototype 8-bit DAC was designed in TSMC018 0.2 um CMOS process and the post layout simulations exhibited the good linearity with very low power consumption and extreme small active area.;As the part of study of the output stage for the current division DAC discussed in the Chapter 4, a current mirror is expected to amplify the output current to drive the low resistive load. The strategy of achieving the optimum bandwidth of the cascode current mirror with fixed total current gain is discussed in the Chapter 5.;Improving the linearity of pipeline ADC has been the hottest and hardest topic in solid-state circuit community for decade. In the Chapter 6, a comprehensive study focus on the existing calibration algorithms for pipeline ADCs is presented. The benefits and limitations of different calibration algorithms have been discussed. Based on the understanding of those reported works, a new model-based calibration is delivered. The simulation results demonstrate that the model-based algorithms are vulnerable to the model accuracy and this weakness is very hard to be removed. From there, we predict the future developments of calibration algorithms that can break the linearity limitations for pipelined ADC. (Abstract shortened by UMI.

Design of a low power switched-capacitor pipeline analog-to-digital converter

An Analog to Digital Converter (ADC) is a circuit which converts an analog signal into digital signal. Real world is analog, and the data processed by the computer or by other signal processing systems is digital. Therefore, the need for ADCs is obvious. In this thesis, several novel designs used to improve ADCs operation speed and reduce ADC power consumption are proposed. First, a high speed switched source follower (SSF) sample and hold amplifier without feedthrough penalty is implemented and simulated. The SSF sample and hold amplifier can achieve 6 Bit resolution with sampling rate at 10Gs/s. Second, a novel rail-to-rail time domain comparator used in successive approximation register ADC (SAR ADC) is implemented and simulated. The simulation results show that the proposed SAR ADC can only consume 1.3 muW with a 0.7 V power supply. Finally, a prototype pipeline ADC is implemented and fabricated in an IBM 90nm CMOS process. The proposed design is validated using measurement on a fabricated silicon IC, and the proposed 10-bit ADC achieves a peak signal-to-noise- and-distortion-ratio (SNDR) of 47 dB. This SNDR translates to a figure of merit (FOM) of 2.6N/conversion-step with a 1.2 V power supply