795 research outputs found
Design of a 14-bit fully differential discrete time delta-sigma modulator
Analog to digital converters play an essential role in modern mixed signal circuit design. Conventional Nyquist-rate converters require analog components that are precise and highly immune to noise and interference. In contrast, oversampling converters can be implemented using simple and high-tolerance analog components. Moreover, sampling at high frequency eliminates the need for abrupt cutoffs in the analog anti-aliasing filters. A noise shaping technique is also used in DS converters in addition to oversampling to achieve a high resolution conversion. A significant advantage of the method is that analog signals are converted using simple and high-tolerance analog circuits, usually a 1-bit comparator, and analog signal processing circuits having a precision that is usually much less than the resolution of the overall converter. In this thesis, a technique to design the discrete time DS converters for 25 kHz baseband signal bandwidth will be described. The noise shaping is achieved using a switched capacitor low-pass integrator around the 1-bit quantizer loop. A latched-type comparator is used as the quantizer of the DS converter. A second order DS modulator is implemented in a TSMC 0.35 µm CMOS technology using a 3.3 V power supply. The peak signal-to-noise ratio (SNR) simulated is 87 dB; the SNDR simulated is 82 dB which corresponds to a resolution of 14 bits. The total static power dissipation is 6.6 mW
Low-pass CMOS Sigma-Delta Converter
A crescente necessidade em dar-se uma melhor saúde à população obriga ao desenvolvimento de novos e melhores dispositivos médicos. Atualmente, uma área de desenvolvimento importante é a de dispositivos portáteis para análise de sinais biológicos, tais como o eletrocardiograma ou o electroencefalograma, ajudando os profissionais de saúde a fazer rápidos diagnósticos no terreno, ou mesmo para serem usados por cidadãos que necessitem de vigilância constante.
O desenvolvimento destes aparelhos traz novos desafios para a comunidade cientifica, nomeadamente na interface analógico/digital, na qualidade dos dados obtidos e no gasto energético. Para se conceber um bom dispositivos médico é necessário um conversor analógico/digital para frequências baixas, com baixo consumo energético e elevada resolução.
Esta dissertação começa por fornecer ao leitor a teoria básica sobre conversores analógico/digital (ADC) e estado de arte. Como principal objetivo do trabalho desenvolvido, é descrito o desenho de um ADC baseado numa arquitetura Sigma-Delta que vá de encontro aos requisitos mencionados. O conversor foi implementado numa tecnologia 130 nm CMOS, usando uma frequência de amostragem de 1 MHz, com uma largura de banda de 1 kHz e tensão de alimentação 1,2 V. É usada, nos integradores do sigma-delta, uma invulgar tipologia de Opamp de forma a obter um ganho elevado, sem recurso a técnicas cascode. O quantizador possui uma resolução de 1,5 bits e é realizado com dois comparadores dinâmicos, de forma a minimizar o consumo energético.The growing need to provide better health for the population requires the development of new and better medical devices. Portable devices for the analysis of biological signals, such as the electrocardiogram or electroencephalogram, is nowadays an important development, helping health professionals to come up with fast diagnoses on the field, or even for use by citizens who require constant vigilance .
Developing these devices brings new challenges to the scientific community, namely at the analog/digital interface, the quality of data and power consumption. In order to design a good medical device it is necessary an analog/digital converter for low frequencies, with low power consumption and high resolution.
This dissertation begins by providing the reader with the basic theory of analog/digital (ADC) and its state of the art. The main goal of the work is the design of an ADC based on a Sigma-Delta architecture that meets the necessary medical requirements. The converter was implemented in a 130 nm CMOS technology using a sampling frequency of 1 MHz, with a bandwidth of 1 kHz, and a source voltage of 1.2 V. The integrators of sigma-delta employs an unusual Opamp typology in order to reach a high gain, without resourcing to cascode techniques. The quantizer has a resolution of 1.5 bits and is realized with two dynamic comparators, in order to minimize power consumption
A Robust 96.6-dB-SNDR 50-kHz-Bandwidth Switched-Capacitor Delta-Sigma Modulator for IR Imagers in Space Instrumentation
Infrared imaging technology, used both to study deep-space bodies' radiation and environmental changes on Earth, experienced constant improvements in the last few years, pushing data converter designers to face new challenges in terms of speed, power consumption and robustness against extremely harsh operating conditions. This paper presents a 96.6-dB-SNDR (Signal-to-Noise-plus-Distortion Ratio) 50-kHz-bandwidth fourth-order single-bit switched-capacitor delta-sigma modulator for ADC operating at 1.8 V and consuming 7.9 mW fit for space instrumentation. The circuit features novel Class-AB single-stage switched variable-mirror amplifiers (SVMAs) enabling low-power operation, as well as low sensitivity to both process and temperature deviations for the whole modulator. The physical implementation resulted in a 1.8-mm 2 chip integrated in a standard 0.18-μm 1-poly-6-metal (1P6M) CMOS technology, and it reaches a 164.6-dB Schreier figure of merit from experimental SNDR measurements without making use of any clock bootstrapping, analog calibration, nor digital compensation technique. When coupled to a IR imager, the current design allows more than 50 frames per minute with a resolution of 16 effective number of bits (ENOB) while consuming less than 300 mW
A SigmaDelta modulator for digital hearing instruments using 0.18 mum CMOS technology.
This thesis develops the design methodology for a low-voltage low-power SigmaDelta Modulator, realized using a switched op-amp technique that can be used in a hearing instrument. Switched op-amp implementation allows scaling down the design to the latest CMOS technology. A single-loop second-order SigmaDelta Modulator topology is chosen. The modulator circuit features reduced complexity, area reduction and low conversion energy. The modulator has a sampling rate of 8.2 MHz with an over-sampling ratio (OSR) of 256 to provide an audio bandwidth of 16 kHz. The modulator is implemented in a 0.18 mum digital CMOS technology with metal-to-metal sandwich structure capacitors. The modulator operates with a supply voltage of 1.8 V. The active area is 0.403 mm2. The modulator achieves a 98 dB signal-to-noise-and-distortion ratio (SNDR) and a 100 dB dynamic range (DR) at a Nyquist conversion rate of 32 kHz and consumes 1321 muW with a joule/conversion figure of merit equal to 161 x 10-12 J/s. The design methodology is developed through the extensive use of simulation tools. The behaviour simulation is carried out using Matlab/SIMULINK while circuits are simulated with Hspice using the Cadence design tools. Full-custom layout for the analog and the digital circuits is performed using the Cadence design tool. Post-processing simulation of the extracted modulator with parasitic verifies that results meet the requirements. The design has been sent to CMC for fabrication. Source: Masters Abstracts International, Volume: 43-03, page: 0947. Adviser: W. C. Miller. Thesis (M.A.Sc.)--University of Windsor (Canada), 2004
Linearization of Time-encoded ADCs Architectures for Smart MEMS Sensors in Low Power CMOS Technology
Mención Internacional en el título de doctorIn the last few years, the development of mobile technologies and machine learning
applications has increased the demand of MEMS-based digital microphones.
Mobile devices have several microphones enabling noise canceling, acoustic beamforming
and speech recognition. With the development of machine learning applications
the interest to integrate sensors with neural networks has increased.
This has driven the interest to develop digital microphones in nanometer CMOS
nodes where the microphone analog-front end and digital processing, potentially
including neural networks, is integrated on the same chip.
Traditionally, analog-to-digital converters (ADCs) in digital microphones have
been implemented using high order Sigma-Delta modulators. The most common
technique to implement these high order Sigma-Selta modulators is switchedcapacitor
CMOS circuits. Recently, to reduce power consumption and make them
more suitable for tasks that require always-on operation, such as keyword recognition,
switched-capacitor circuits have been improved using inverter-based operational
amplifier integrators. Alternatively, switched-capacitor based Sigma-
Delta modulators have been replaced by continuous time Sigma-Delta converters.
Nevertheless, in both implementations the input signal is voltage encoded
across the modulator, making the integration in smaller CMOS nodes more challenging
due to the reduced voltage supply.
An alternative technique consists on encoding the input signal on time (or
frequency) instead of voltage. This is what time-encoded converters do. Lately,
time-encoding converters have gained popularity as they are more suitable to
nanometer CMOS nodes than Sigma-Delta converters. Among the ones that have
drawn more interest we find voltage-controlled oscillator based ADCs (VCOADCs).
VCO-ADCs can be implemented using CMOS inverter based ring oscillators
(RO) and digital circuitry. They also show noise-shaping properties.
This makes them a very interesting alternative for implementation of ADCs in
nanometer CMOS nodes. Nevertheless, two main circuit impairments are present
in VCO-ADCs, and both come from the oscillator non-idealities. The first of them
is the oscillator phase noise, that reduces the resolution of the ADC. The second
is the non-linear tuning curve of the oscillator, that results in harmonic distortion
at medium to high input amplitudes.
In this thesis we analyze the use of time encoding ADCs for MEMS microphones
with special focus on ring oscillator based ADCs (RO-ADCs). Firstly, we
study the use of a dual-slope based SAR noise shaped quantizer (SAR-NSQ) in
sigma-delta loops. This quantizer adds and extra level of noise-shaping to the modulator, improving the resolution. The quantizer is explained, and equations
for the noise transfer function (NTF) of a third order sigma-delta using a second
order filter and the NSQ are presented.
Secondly, we move our attention to the topic of RO-ADCs. We present a high
dynamic range MEMS microphone 130nm CMOS chip based on an open-loop
VCO-ADC. This dissertation shows the implementation of the analog front-end
that includes the oscillator and the MEMS interface, with a focus on achieving
low power consumption with low noise and a high dynamic range. The digital
circuitry is left to be explained by the coauthor of the chip in his dissertation. The
chip achieves a 80dBA peak SNDR and 108dB dynamic range with a THD of 1.5%
at 128 dBSPL with a power consumption of 438μW.
After that, we analyze the use of a frequency-dependent-resistor (FDR) to implement
an unsampled feedback loop around the oscillator. The objective is to reduce
distortion. Additionally phase noise mitigation is achieved. A first topology
including an operational amplifier to increase the loop gain is analyzed. The design
is silicon proven in a 130 nm CMOS chip that achieves a 84 dBA peak SNDR
with an analog power consumption of 600μW. A second topology without the
operational amplifier is also analyzed. Two chips are designed with this topology.
The first chip in 130 nm CMOS is a full VCO-ADC including the frequencyto-
digital converter (F2D). This chip achieves a peak SNDR of 76.6 dBA with a
power consumption of 482μW. The second chip includes only the oscillator and
is implemented in 55nm CMOS. The peak SNDR is 78.15 dBA and the analog
power consumption is 153μW.
To finish this thesis, two circuits that use an FDR with a ring oscillator are
presented. The first is a capacity-to-digital converter (CDC). The second is a filter
made with an FDR and an oscillator intended for voice activity detection tasks
(VAD).En los últimos años, el desarrollo de las tecnologías móviles y las aplicaciones de
machine-learning han aumentado la demanda de micrófonos digitales basados
en MEMS. Los dipositivos móviles tienen varios micrófonos que permiten la cancelación
de ruido, el beamforming o conformación de haces y el reconocimiento
de voz. Con el desarrollo de aplicaciones de aprendizaje automático, el interés
por integrar sensores con redes neuronales ha aumentado. Esto ha impulsado el
interés por desarrollar micrófonos digitales en nodos CMOS nanométricos donde
el front-end analógico y el procesamiento digital del micrófono, que puede
incluir redes neuronales, está integrado en el mismo chip.
Tradicionalmente, los convertidores analógicos-digitales (ADC) en micrófonos
digitales han sido implementados utilizando moduladores Sigma-Delta de
orden elevado. La técnica más común para implementar estos moduladores Sigma-
Delta es el uso de circuitos CMOS de capacidades conmutadas. Recientemente,
para reducir el consumo de potencia y hacerlos más adecuados para las tareas que
requieren una operación continua, como el reconocimiento de palabras clave, los
convertidores Sigma-Delta de capacidades conmutadas has sido mejorados con
el uso de integradores implementados con amplificadores operacionales basados
en inversores CMOS. Alternativamente, los Sigma-Delta de capacidades conmutadas
han sido reemplazados por moduladores en tiempo continuo. No obstante,
en ambas implementaciones, la señal de entrada es codificada en voltaje durante
el proceso de conversión, lo que hace que la integración en nodos CMOS más
pequeños sea complicada debido a la menor tensión de alimentación.
Una técnica alternativa consiste en codificar la señal de entrada en tiempo (o
frecuencia) en lugar de tensión. Esto es lo que hacen los convertidores de codificación
temporal. Recientemente, los convertidores de codificación temporal
han ganado popularidad ya que son más adecuados para nodos CMOS nanométricos
que los convertidores Sigma-Delta. Entre los que más interés han despertado
encontramos los ADCs basados en osciladores controlados por tensión
(VCO-ADC). Los VCO-ADC se pueden implementar usando osciladores en anillo
(RO) implementados con inversores CMOS y circuitos digitales. Esta familia
de convertidores también tiene conformado de ruido. Esto los convierte en una
alternativa muy interesante para la implementación de convertidores en nodos
CMOS nanométricos. Sin embargo, dos problemas principales están presentes en
este tipo de ADCs debidos ambos a las no idealidades del oscilador. El primero
de los problemas es la presencia de ruido de fase en el oscilador, lo que reduce la resolución del ADC. El segundo es la curva de conversion voltaje-frecuencia no
lineal del oscilador, lo que causa distorsión a amplitudes medias y altas.
En esta tesis analizamos el uso de ADCs de codificación temporal para micrófonos
MEMS, con especial interés en ADCS basados en osciladores de anillo
(RO-ADC). En primer lugar, estudiamos el uso de un cuantificador SAR con conformado
de ruido (SAR-NSQ) en moduladores Sigma-Delta. Este cuantificador
agrega un orden adicional de conformado de ruido al modulador, mejorando la
resolución. En este documento se explica el cuantificador y obtienen las ecuaciones
para la función de transferencia de ruido (NTF) de un sigma-delta de tercer
orden usando un filtro de segundo orden y el NSQ.
En segundo lugar, dirigimos nuestra atención al tema de los RO-ADC. Presentamos
el chip de un micrófono MEMS de alto rango dinámico en CMOS de
130 nm basado en un VCO-ADC de bucle abierto. En esta tesis se explica la implementación
del front-end analógico que incluye el oscilador y la interfaz con
el MEMS. Esta implementación se ha llevado a cabo con el objetivo de lograr un
bajo consumo de potencia, un bajo nivel de ruido y un alto rango dinámico. La
descripción del back-end digital se deja para la tesis del couator del chip. La
SNDR de pico del chip es de 80dBA y el rango dinámico de 108dB con una THD
de 1,5% a 128 dBSPL y un consumo de potencia de 438μW.
Finalmente, se analiza el uso de una resistencia dependiente de frecuencia
(FDR) para implementar un bucle de realimentación no muestreado alrededor
del oscilador. El objetivo es reducir la distorsión. Además, también se logra la
mitigación del ruido de fase del oscilador. Se analyza una primera topologia de
realimentación incluyendo un amplificador operacional para incrementar la ganancia
de bucle. Este diseño se prueba en silicio en un chip CMOS de 130nm que
logra un pico de SNDR de 84 dBA con un consumo de potencia de 600μW en la
parte analógica. Seguidamente, se analiza una segunda topología sin el amplificador
operacional. Se fabrican y miden dos chips diseñados con esta topologia.
El primero de ellos en CMOS de 130 nm es un VCO-ADC completo que incluye
el convertidor de frecuencia a digital (F2D). Este chip alcanza un pico SNDR de
76,6 dBA con un consumo de potencia de 482μW. El segundo incluye solo el oscilador
y está implementado en CMOS de 55nm. El pico SNDR es 78.15 dBA y el
el consumo de potencia analógica es de 153μW.
Para cerrar esta tesis, se presentan dos circuitos que usan la FDR con un oscilador
en anillo. El primero es un convertidor de capacidad a digital (CDC). El
segundo es un filtro realizado con una FDR y un oscilador, enfocado a tareas de
detección de voz (VAD).Programa de Doctorado en Ingeniería Eléctrica, Electrónica y Automática por la Universidad Carlos III de MadridPresidente: Antonio Jesús Torralba Silgado.- Secretaria: María Luisa López Vallejo.- Vocal: Pieter Rombout
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