Time-encoding analog-to-digital converters : bridging the analog gap to advanced digital CMOS : part 1: basic principles

The scaling of CMOS technology deep into the nanometer range has created challenges for the design of highperformance analog ICs. The shrinking supply voltage and presence of mismatch and noise restrain the dynamic range, causing analog circuits to be large in area and have a high power consumption in spite of the process scaling. Analog circuits based on time encoding [1], [2] and hybrid analog/digital signal processing [3] have been developed to overcome these issues. Realizing analog circuit functionality with highly digital circuits results in more scalable design solutions that can achieve excellent performance. This article reviews the basic principles of time encoding applied, in particular, to analog-to-digital converters (ADCs) based on voltage-controlled oscillators (VCOs), one of the most successful time-encoding techniques to date

High-Bandwidth Voltage-Controlled Oscillator based architectures for Analog-to-Digital Conversion

The purpose of this thesis is the proposal and implementation of data conversion open-loop architectures based on voltage-controlled oscillators (VCOs) built with ring oscillators (RO-based ADCs), suitable for highly digital designs, scalable to the newest complementary metal-oxide-semiconductor (CMOS) nodes. The scaling of the design technologies into the nanometer range imposes the reduction of the supply voltage towards small and power-efficient architectures, leading to lower voltage overhead of the transistors. Additionally, phenomena like a lower intrinsic gain, inherent noise, and parasitic effects (mismatch between devices and PVT variations) make the design of classic structures for ADCs more challenging. In recent years, time-encoded A/D conversion has gained relevant popularity due to the possibility of being implemented with mostly digital structures. Within this trend, VCOs designed with ring oscillator based topologies have emerged as promising candidates for the conception of new digitization techniques. RO-based data converters show excellent scalability and sensitivity, apart from some other desirable properties, such as inherent quantization noise shaping and implicit anti-aliasing filtering. However, their nonlinearity and the limited time delay achievable in a simple NOT gate drastically limits the resolution of the converter, especially if we focus on wide-band A/D conversion. This thesis proposes new ways to alleviate these issues. Firstly, circuit-based techniques to compensate for the nonlinearity of the ring oscillator are proposed and compared to equivalent state-of-the-art solutions. The proposals are designed and simulated in a 65-nm CMOS node for open-loop RO-based ADC architectures. One of the techniques is also validated experimentally through a prototype. Secondly, new ways to artificially increase the effective oscillation frequency are introduced and validated by simulations. Finally, new approaches to shape the quantization noise and filter the output spectrum of a RO-based ADC are proposed theoretically. In particular, a quadrature RO-based band-pass ADC and a power-efficient Nyquist A/D converter are proposed and validated by simulations. All the techniques proposed in this work are especially devoted for highbandwidth applications, such as Internet-of-Things (IoT) nodes or maximally digital radio receivers. Nevertheless, their field of application is not restricted to them, and could be extended to others like biomedical instrumentation or sensing.El propósito de esta tesis doctoral es la propuesta y la implementación de arquitecturas de conversión de datos basadas en osciladores en anillos, compatibles con diseños mayoritariamente digitales, escalables en los procesos CMOS de fabricación más modernos donde las estructuras digitales se ven favorecidas. La miniaturización de las tecnologías CMOS de diseño lleva consigo la reducción de la tensión de alimentación para el desarrollo de arquitecturas pequeñas y eficientes en potencia. Esto reduce significativamente la disponibilidad de tensión para saturar transistores, lo que añadido a una ganancia cada vez menor de los mismos, ruido y efectos parásitos como el “mismatch” y las variaciones de proceso, tensión y temperatura han llevado a que sea cada vez más complejo el diseño de estructuras analógicas eficientes. Durante los últimos años la conversión A/D basada en codificación temporal ha ganado gran popularidad dado que permite la implementación de estructuras mayoritariamente digitales. Como parte de esta evolución, los osciladores controlados por tensión diseñados con topologías de oscilador en anillo han surgido como un candidato prometedor para la concepción de nuevas técnicas de digitalización. Los convertidores de datos basados en osciladores en anillo son extremadamente sensibles (variación de frecuencia con respecto a la señal de entrada) así como escalables, además de otras propiedades muy atractivas, como el conformado espectral de ruido de cuantificación y el filtrado “anti-aliasing”. Sin embargo, su respuesta no lineal y el limitado tiempo de retraso alcanzable por una compuerta NOT restringen la resolución del conversor, especialmente para conversión A/D en aplicaciones de elevado ancho de banda. Esta tesis doctoral propone nuevas técnicas para aliviar este tipo de problemas. En primer lugar, se proponen técnicas basadas en circuito para compensar el efecto de la no linealidad en los osciladores en anillo, y se comparan con soluciones equivalentes ya publicadas. Las propuestas se diseñan y simulan en tecnología CMOS de 65 nm para arquitecturas en lazo abierto. Una de estas técnicas presentadas es también validada experimentalmente a través de un prototipo. En segundo lugar, se introducen y validan por simulación varias formas de incrementar artificialmente la frecuencia de oscilación efectiva. Para finalizar, se proponen teóricamente dos enfoques para configurar nuevas formas de conformación del ruido de cuantificación y filtrado del espectro de salida de los datos digitales. En particular, son propuestos y validados por simulación un ADC pasobanda en cuadratura de fase y un ADC de Nyquist de gran eficiencia en potencia. Todas las técnicas propuestas en este trabajo están destinadas especialmente para aplicaciones de alto ancho de banda, tales como módulos para el Internet de las cosas o receptores de radiofrecuencia mayoritariamente digitales. A pesar de ello, son extrapolables también a otros campos como el de la instrumentación biomédica o el de la medición de señales mediante sensores.Programa de Doctorado en Ingeniería Eléctrica, Electrónica y Automática por la Universidad Carlos III de MadridPresidente: Juan Pablo Alegre Pérez.- Secretario: Celia López Ongil.- Vocal: Fernando Cardes Garcí

Time-encoding analog-to-digital converters : bridging the analog gap to advanced digital CMOS? Part 2: architectures and circuits

The scaling of CMOS technology deep into the nanometer range has created challenges for the design of highperformance analog ICs: they remain large in area and power consumption in spite of process scaling. Analog circuits based on time encoding [1], [2], where the signal information is encoded in the waveform transitions instead of its amplitude, have been developed to overcome these issues. While part one of this overview article [3] presented the basic principles of time encoding, this follow-up article describes and compares the main time-encoding architectures for analog-to-digital converters (ADCs) and discusses the corresponding design challenges of the circuit blocks. The focus is on structures that avoid, as much as possible, the use of traditional analog blocks like operational amplifiers (opamps) or comparators but instead use digital circuitry, ring oscillators, flip-flops, counters, an so on. Our overview of the state of the art will show that these circuits can achieve excellent performance. The obvious benefit of this highly digital approach to realizing analog functionality is that the resulting circuits are small in area and more compatible with CMOS process scaling. The approach also allows for the easy integration of these analog functions in systems on chip operating at "digital" supply voltages as low as 1V and lower. A large part of the design process can also be embedded in a standard digital synthesis flow

High-Speed and Energy-Efficient Ring-Oscillator for Analog-to-Digital Conversion

The aim of this conference is to offer the possibility to present and discuss new research results on the area of integrated circuits and systems and all its fields of application. A major emphasis has been given in the technical program to emerging topics such as electronic systems for artificial intelligence, reliability of circuits and devices, unconventional computing, smart sensors and other relevant topics. The conference on Design of Circuits and Integrated Systems (DCIS) is an international meeting for researchers in the highly active fields of micro- and nano-electronic circuits and integrated systems. It provides an excellent forum to present and discuss works on the emerging challenges offered by technology, in the areas of modeling, design, implementation and test of devices, circuits and systems. The 35th edition will be organized by Universidad Politécnica de Madrid

SNDR Limits of Oscillator-Based Sensor Readout Circuits.

This paper analyzes the influence of phase noise and distortion on the performance of oscillator-based sensor data acquisition systems. Circuit noise inherent to the oscillator circuit manifests as phase noise and limits the SNR. Moreover, oscillator nonlinearity generates distortion for large input signals. Phase noise analysis of oscillators is well known in the literature, but the relationship between phase noise and the SNR of an oscillator-based sensor is not straightforward. This paper proposes a model to estimate the influence of phase noise in the performance of an oscillator-based system by reflecting the phase noise to the oscillator input. The proposed model is based on periodic steady-state analysis tools to predict the SNR of the oscillator. The accuracy of this model has been validated by both simulation and experiment in a 130 nm CMOS prototype. We also propose a method to estimate the SNDR and the dynamic range of an oscillator-based readout circuit that improves by more than one order of magnitude the simulation time compared to standard time domain simulations. This speed up enables the optimization and verification of this kind of systems with iterative algorithms.This work has been funded by projects 610484 FP7-IAPP of the European Union and TEC2014-56879-R of CICYT, Spain. The authors would like to thank Roberto Nonis and Pedro Amaral from Infineon Technologies Austria AG for helpful discussions

A Low-Power, Reconfigurable, Pipelined ADC with Automatic Adaptation for Implantable Bioimpedance Applications

Biomedical monitoring systems that observe various physiological parameters or electrochemical reactions typically cannot expect signals with fixed amplitude or frequency as signal properties can vary greatly even among similar biosignals. Furthermore, advancements in biomedical research have resulted in more elaborate biosignal monitoring schemes which allow the continuous acquisition of important patient information. Conventional ADCs with a fixed resolution and sampling rate are not able to adapt to signals with a wide range of variation. As a result, reconfigurable analog-to-digital converters (ADC) have become increasingly more attractive for implantable biosensor systems. These converters are able to change their operable resolution, sampling rate, or both in order convert changing signals with increased power efficiency. Traditionally, biomedical sensing applications were limited to low frequencies. Therefore, much of the research on ADCs for biomedical applications focused on minimizing power consumption with smaller bias currents resulting in low sampling rates. However, recently bioimpedance monitoring has become more popular because of its healthcare possibilities. Bioimpedance monitoring involves injecting an AC current into a biosample and measuring the corresponding voltage drop. The frequency of the injected current greatly affects the amplitude and phase of the voltage drop as biological tissue is comprised of resistive and capacitive elements. For this reason, a full spectrum of measurements from 100 Hz to 10-100 MHz is required to gain a full understanding of the impedance. For this type of implantable biomedical application, the typical low power, low sampling rate analog-to-digital converter is insufficient. A different optimization of power and performance must be achieved. Since SAR ADC power consumption scales heavily with sampling rate, the converters that sample fast enough to be attractive for bioimpedance monitoring do not have a figure-of-merit that is comparable to the slower converters. Therefore, an auto-adapting, reconfigurable pipelined analog-to-digital converter is proposed. The converter can operate with either 8 or 10 bits of resolution and with a sampling rate of 0.1 or 20 MS/s. Additionally, the resolution and sampling rate are automatically determined by the converter itself based on the input signal. This way, power efficiency is increased for input signals of varying frequency and amplitude

A high value, linear and tunable CMOS pseudo resistor for bio-medical applications

A sub-threshold MOS based pseudo resistor featuring a very high value and ultra-low distortion is proposed. A band-pass neural amplifier with a very low high-pass cutoff frequency is designed, to demonstrate the linearity of the proposed resistor. A BJT less CTAT current generator has been introduced to minimize the temperature drift of the resistor and make tuning easier. The stand-alone resistor has achieved 0.5% better linearity and a 12% improved temperature coefficient over the existing architectures. A neural amplifier has been designed with the proposed resistor as a feedback element. It demonstrated 31dB mid-band gain and a lowpass cutoff frequency of 0.85Hz. The circuit operates from a 1V supply and draws 950nA current at room temperature