135 research outputs found
Data acquisition techniques based on frequency-encoding applied to capacitive MEMS microphones
Mención Internacional en el título de doctorThis thesis focuses on the development of capacitive sensor readout circuits
and data converters based on frequency-encoding. This research
has been motivated by the needs of consumer electronics industry, which
constantly demands more compact readout circuit for MEMS microphones
and other sensors. Nowadays, data acquisition is mainly based
on encoding signals in voltage or current domains, which is becoming
more challenging in modern deep submicron CMOS technologies.
Frequency-encoding is an emerging signal processing technique based
on encoding signals in the frequency domain. The key advantage of
this approach is that systems can be implemented using mostly-digital
circuitry, which benefits from CMOS technology scaling. Frequencyencoding
can be used to build phase referenced integrators, which can
replace classical integrators (such as switched-capacitor based integrators)
in the implementation of efficient analog-to-digital converters and
sensor interfaces. The core of the phase referenced integrators studied in
this thesis consists of the combination of different oscillator topologies
with counters and highly-digital circuitry.
This work addresses two related problems: the development of capacitive
MEMS sensor readout circuits based on frequency-encoding, and the
design and implementation of compact oscillator-based data converters
for audio applications.
In the first problem, the target is the integration of the MEMS sensor
into an oscillator circuit, making the oscillation frequency dependent on
the sensor capacitance. This way, the sound can be digitized by measuring
the oscillation frequency, using digital circuitry. However, a MEMS
microphone is a complex structure on which several parasitic effects can
influence the operation of the oscillator. This work presents a feasibility
analysis of the integration of a MEMS microphone into different oscillator
topologies. The conclusion of this study is that the parasitics of the
MEMS limit the performance of the microphone, making it inefficient.
In contrast, replacing conventional ADCs with frequency-encoding based
ADCs has proven a very efficient solution, which motivates the next
problem.
In the second problem, the focus is on the development of high-order
oscillator-based Sigma-Delta modulators. Firstly, the equivalence between classical
integrators and phase referenced integrators has been studied, followed
by an overview of state-of-art oscillator-based converters. Then,
a procedure to replace classical integrators by phase referenced integrators
is presented, including a design example of a second-order oscillator based
Sigma-Delta modulator. Subsequently, the main circuit impairments that
limit the performance of this kind of implementations, such as phase
noise, jitter or metastability, are described.
This thesis also presents a methodology to evaluate the impact of
phase noise and distortion in oscillator-based systems. The proposed
method is based on periodic steady-state analysis, which allows the rapid
estimation of the system dynamic range without resorting to transient
simulations. In addition, a novel technique to analyze the impact of
clock jitter in Sigma-Delta modulators is described.
Two integrated circuits have been implemented in 0.13 μm CMOS
technology to demonstrate the feasibility of high-order oscillator-based Sigma-Delta modulators. Both chips have been designed to feature secondorder
noise shaping using only oscillators and digital circuitry. The first
testchip shows a malfunction in the digital circuitry due to the complexity
of the multi-bit counters. The second chip, implemented using
single-bit counters for simplicity, shows second-order noise shaping and
reaches 103 dB-A of dynamic range in the audio bandwidth, occupying
only 0.04 mm2.Esta tesis se centra en el desarrollo de conversores de datos e interfaces
para sensores capacitivos basados en codificación en frecuencia. Esta
investigación está motivada por las necesidades de la industria, que constantemente
demanda reducir el tamaño de este tipo de circuitos. Hoy en
día, la adquisición de datos está basada principalmente en la codificación
de señales en tensión o en corriente. Sin embargo, la implementación
de este tipo de soluciones en tecnologías CMOS nanométricas presenta
varias dificultades.
La codificación de frecuencia es una técnica emergente en el procesado
de señales basada en codificar señales en el dominio de la frecuencia.
La principal ventaja de esta alternativa es que los sistemas pueden implementarse
usando circuitos mayoritariamente digitales, los cuales se
benefician de los avances de la tecnología CMOS. La codificación en
frecuencia puede emplearse para construir integradores referidos a la
fase, que pueden reemplazar a los integradores clásicos (como los basados
en capacidades conmutadas) en la implementación de conversores
analógico-digital e interfaces de sensores. Los integradores referidos a la
fase estudiados en esta tesis consisten en la combinación de diferentes
topologías de osciladores con contadores y circuitos principalmente digitales.
Este trabajo aborda dos cuestiones relacionadas: el desarrollo de circuitos
de lectura para sensores MEMS capacitivos basados en codificación
temporal, y el diseño e implementación de conversores de datos
compactos para aplicaciones de audio basados en osciladores.
En el primer caso, el objetivo es la integración de un sensor MEMS
en un oscilador, haciendo que la frecuencia de oscilación depe capacidad del sensor. De esta forma, el sonido puede ser digitalizado
midiendo la frecuencia de oscilación, lo cual puede realizarse usando circuitos
en su mayor parte digitales. Sin embargo, un micrófono MEMS es
una estructura compleja en la que múltiples efectos parasíticos pueden
alterar el correcto funcionamiento del oscilador. Este trabajo presenta
un análisis de la viabilidad de integrar un micrófono MEMS en diferentes
topologías de oscilador. La conclusión de este estudio es que los parasíticos
del MEMS limitan el rendimiento del micrófono, causando que esta
solución no sea eficiente. En cambio, la implementación de conversores
analógico-digitales basados en codificación en frecuencia ha demostrado
ser una alternativa muy eficiente, lo cual motiva el estudio del siguiente
problema.
La segunda cuestión está centrada en el desarrollo de moduladores Sigma-Delta de alto orden basados en osciladores. En primer lugar se ha estudiado
la equivalencia entre los integradores clásicos y los integradores
referidos a la fase, seguido de una descripción de los conversores basados
en osciladores publicados en los últimos años. A continuación se
presenta un procedimiento para reemplazar integradores clásicos por integradores
referidos a la fase, incluyendo un ejemplo de diseño de un
modulador Sigma-Delta de segundo orden basado en osciladores. Posteriormente
se describen los principales problemas que limitan el rendimiento de este
tipo de sistemas, como el ruido de fase, el jitter o la metaestabilidad.
Esta tesis también presenta un nuevo método para evaluar el impacto
del ruido de fase y de la distorsión en sistemas basados en osciladores. El
método propuesto está basado en simulaciones PSS, las cuales permiten
la rápida estimación del rango dinámico del sistema sin necesidad de
recurrir a simulaciones temporales. Además, este trabajo describe una
nueva técnica para analizar el impacto del jitter de reloj en moduladores Sigma-Delta.
En esta tesis se han implementado dos circuitos integrados en tecnología
CMOS de 0.13 μm, con el fin de demostrar la viabilidad de los
moduladores Sigma-Delta de alto orden basados en osciladores. Ambos chips han
sido diseñados para producir conformación espectral de ruido de segundo
orden, usando únicamente osciladores y circuitos mayoritariamente digitales.
El primer chip ha mostrado un error en el funcionamiento de los
circuitos digitales debido a la complejidad de las estructuras multi-bit
utilizadas. El segundo chip, implementado usando contadores de un solo
bit con el fin de simplificar el sistema, consigue conformación espectral
de ruido de segundo orden y alcanza 103 dB-A de rango dinámico en el
ancho de banda del audio, ocupando solo 0.04 mm2.Programa Oficial de Doctorado en Ingeniería Eléctrica, Electrónica y AutomáticaPresidente: Georges G.E. Gielen.- Secretario: José Manuel de la Rosa.- Vocal: Ana Rus
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
Contribution to time domain readout circuits design for multi-standard sensing system for low voltage supply and high-resolution applications
Mención Internacional en el título de doctorThis research activity has the purpose of open new possibilities in the design of capacitance-to-digital converters (CDCs) by developing a solution based on time domain conversion. This can be applied to applications related with the Internet-of-Things (IoT). These applications are present in any electronic devices where sensing is needed. To be able to reduce the area of the whole system with the required performance, micro-electromechanical systems (MEMS) sensors are used in these applications. We propose a new family of sensor readout electronics to be integrated with MEMS sensors.
Within the time domain converters, Dual Slope (DS) topology is very interesting to explore a new compromise between performances, area and power consumption. DS topology has been extensively used in instrumentation. The simplicity and robustness of the blocks inside classical DS converters it is the main advantage. However, they are not efficient for applications where higher bandwidth is required. To extend the bandwidth, DS converters have been introduced into ΔΣ loops. This topology has been named as integrating converters. They increase the bandwidth compare to classical DS architecture but at the expense of higher complexity. In this work we propose the use of a new family of DS converters that keep the advantages of the classical architecture and introduce noise shaping. This way the bandwidth is increased without extra blocks. The Self-Compensated noise-shaped DS converter (the name given to the new topology) keeps the signal transfer function (STF) and the noise transfer function (NTF) of Integrating converters. However, we introduce a new arrangement in the core of the converter to do noise shaping without extra circuitry. This way the simplicity of the architecture is preserved.
We propose to use the Self-Compensated DS converter as a CDC for MEMS sensors. This work makes a study of the best possible integration of the two blocks to keep the signal integrity considering the electromechanical behavior of the sensor.
The purpose of this front-end is to be connected to any kind of capacitive MEMS sensor. However, to prove the concepts developed in this thesis the architecture has been connected to a pressure MEMS sensor.
An experimental prototype was implemented in 130-nm CMOS process using the architecture mentioned before. A peak SNR of 103.9 dB (equivalent to 1Pa) has been achieved within a time measurement of 20 ms. The final prototype has a power consumption of 220 μW with an effective area of 0.317 mm2. The designed architecture shows good performance having competitive numbers against high resolution topologies in amplitude domain.Esta actividad de investigación tiene el propósito de explorar nuevas posibilidades en el diseño de convertidores de capacitancia a digital (CDC) mediante el desarrollo de una solución basada en la conversión en el dominio del tiempo. Estos convertidores se pueden utilizar en aplicaciones relacionadas con el mercado del Internet-de-las-cosas (IoT). Hoy en día, estas aplicaciones están presentes en cualquier dispositivo electrónico donde se necesite sensar una magnitud. Para poder reducir el área de todo el sistema con el rendimiento requerido, se utilizan sensores de sistemas micro-electromecánicos (MEMS) en estas aplicaciones. Proponemos una nueva familia de electrónica de acondicionamiento para integrar con sensores MEMS.
Dentro de los convertidores de dominio de tiempo, la topología del doble-rampa (DS) es muy interesante para explorar un nuevo compromiso entre rendimiento, área y consumo de energía. La topología de DS se ha usado ampliamente en instrumentación. La simplicidad y la solidez de los bloques dentro de los convertidores DS clásicos es la principal ventaja. Sin embargo, no son eficientes para aplicaciones donde se requiere mayor ancho de banda. Para ampliar el ancho de banda, los convertidores DS se han introducido en bucles ΔΣ. Esta topología ha sido nombrada como Integrating converters. Esta topología aumenta el ancho de banda en comparación con la arquitectura clásica de DS, pero a expensas de una mayor complejidad. En este trabajo, proponemos el uso de una nueva familia de convertidores DS que mantienen las ventajas de la arquitectura clásica e introducen la configuración del ruido. De esta forma, el ancho de banda aumenta sin bloques adicionales. El convertidor Self-Compensated noise-shaped DS (el nombre dado a la nueva topología) mantiene la función de transferencia de señal (STF) y la función de transferencia de ruido (NTF) de los Integrating converters. Sin embargo, presentamos una nueva topología en el núcleo del convertidor para conformar el ruido sin circuitos adicionales. De esta manera, se preserva la simplicidad de la arquitectura.
Proponemos utilizar el Self-Compensated noise-shaped DS como un CDC para sensores MEMS. Este trabajo hace un estudio de la mejor integración posible de los dos bloques para mantener la integridad de la señal considerando el comportamiento electromecánico del sensor.
El propósito de este circuito de acondicionamiento es conectarse a cualquier tipo de sensor MEMS capacitivo. Sin embargo, para demostrar los conceptos desarrollados en esta tesis, la arquitectura se ha conectado a un sensor MEMS de presión.
Se ha implementado dos prototipos experimentales en un proceso CMOS de 130-nm utilizando la arquitectura mencionada anteriormente. Se ha logrado una relación señal-ruido máxima de 103.9 dB (equivalente a 1 Pa) con un tiempo de medida de 20 ms. El prototipo final tiene un consumo de energía de 220 μW con un área efectiva de 0.317 mm2. La arquitectura diseñada muestra un buen rendimiento comparable con las arquitecturas en el dominio de la amplitud que muestran resoluciones equivalentes.Programa Oficial de Doctorado en Ingeniería Eléctrica, Electrónica y AutomáticaPresidente: Pieter Rombouts.- Secretario: Alberto Rodríguez Pérez.- Vocal: Dietmar Strãußnig
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
An Implantable Low Pressure Biosensor Transponder
The human body’s intracranial pressure (ICP) is a critical element in sustaining healthy blood flow to the brain while allowing adequate volume for brain tissue within the relatively rigid structure of the cranium. Disruptions in the body’s maintenance of intracranial pressure are often caused by hemorrhage, tumors, edema, or excess cerebral spinal fluid resulting in treatments that are estimated to globally cost up to approximately five billion dollars annually. A critical element in the contemporary management of acute head injury, intracranial hemorrhage, stroke, or other conditions resulting in intracranial hypertension, is the real-time monitoring of ICP. Currently such monitoring can only take place short-term within an acute care hospital, is prone to measurement drift, and is comprised of externally tethered pressure sensors that are temporarily implanted into the brain, thus carrying a significant risk of infection. To date, reliable, low drift, completely internalized, long-term ICP monitoring devices remain elusive. In addition to being safer and more reliable in the short-term, such a device would expand the use of ICP monitoring for the management of chronic diseases involving ICP hypertension and further expand research into these disorders. This research studies the current challenges of existing ICP monitoring systems and investigates opportunities for potentially allowing long-term implantable bio-pressure sensing, facilitating possible improvements in treatment strategies. Based upon the research, this thesis evaluates piezo-resistive strain sensing for low power, sub-millimeter of mercury resolution, in application to implantable intracranial pressure sensing
A VCO-based CMOS readout circuit for capacitive MEMS microphones
Microelectromechanical systems (MEMS) microphone sensors have significantly improved in the past years, while the readout electronic is mainly implemented using switched-capacitor technology. The development of new battery powered 'always-on” applications increasingly requires a low power consumption. In this paper, we show a new readout circuit approach which is based on a mostly digital Sigma Delta (SigmaDelta) analog-to-digital converter (ADC). The operating principle of the readout circuit consists of coupling the MEMS sensor to an impedance converter that modulates the frequency of a stacked-ring oscillator—a new voltage-controlled oscillator (VCO) circuit featuring a good trade-off between phase noise and power consumption. The frequency coded signal is then sampled and converted into a noise-shaped digital sequence by a time-to-digital converter (TDC). A time-efficient design methodology has been used to optimize the sensitivity of the oscillator combined with the phase noise induced by 1/𝑓 and thermal noise. The circuit has been prototyped in a 130 nm CMOS process and directly bonded to a standard MEMS microphone. The proposed VCO-based analog-to-digital converter (VCO-ADC) has been characterized electrically and acoustically. The peak signal-to-noise and distortion ratio (SNDR) obtained from measurements is 77.9 dB-A and the dynamic range (DR) is 100 dB-A. The current consumption is 750 muA at 1.8 V and the effective area is 0.12 mm2. This new readout circuit may represent an enabling advance for low-cost digital MEMS microphones.This research was funded by project TEC2017-82653-R of CICYT, Spain
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
Low-power CMOS digital-pixel Imagers for high-speed uncooled PbSe IR applications
This PhD dissertation describes the research and development of a new low-cost medium wavelength infrared MWIR monolithic imager technology
for high-speed uncooled industrial applications. It takes the baton on the latest technological advances in the field of vapour phase deposition (VPD)
PbSe-based medium wavelength IR (MWIR) detection accomplished by the industrial partner NIT S.L., adding fundamental knowledge on the investigation of novel VLSI analog and mixed-signal design techniques at circuit and system levels for the development of the readout integrated device attached to the detector.
The work supports on the hypothesis that, by the use of the preceding design techniques, current standard inexpensive CMOS technologies fulfill all
operational requirements of the VPD PbSe detector in terms of connectivity, reliability, functionality and scalability to integrate the device. The resulting monolithic PbSe-CMOS camera must consume very low power, operate at kHz frequencies, exhibit good uniformity and fit the CMOS read-out active pixels in the compact pitch of the focal plane, all while addressing the particular characteristics of the MWIR detector: high dark-to-signal ratios, large input parasitic capacitance values and remarkable mismatching in PbSe integration.
In order to achieve these demands, this thesis proposes null inter-pixel crosstalk vision sensor architectures based on a digital-only focal plane array (FPA) of configurable pixel sensors. Each digital pixel sensor (DPS) cell is equipped with fast communication modules, self-biasing, offset cancellation, analog-to-digital converter (ADC) and fixed pattern noise (FPN) correction. In-pixel power consumption is minimized by the use of comprehensive MOSFET subthreshold operation.
The main aim is to potentiate the integration of PbSe-based infra-red (IR)-image sensing technologies so as to widen its use, not only in distinct scenarios, but also at different stages of PbSe-CMOS integration maturity. For this purpose, we posit to investigate a comprehensive set of functional blocks distributed in two parallel approaches:
• Frame-based “Smart” MWIR imaging based on new DPS circuit topologies with gain and offset FPN correction capabilities. This research
line exploits the detector pitch to offer fully-digital programmability at pixel level and complete functionality with input parasitic capacitance compensation and internal frame memory.
• Frame-free “Compact”-pitch MWIR vision based on a novel DPS lossless analog integrator and configurable temporal difference, combined with asynchronous communication protocols inside the focal plane. This strategy is conceived to allow extensive pitch compaction and readout speed increase by the suppression of in-pixel digital filtering, and the use of dynamic bandwidth allocation in each pixel of the FPA.
In order make the electrical validation of first prototypes independent of the expensive PbSe deposition processes at wafer level, investigation is extended as well to the development of affordable sensor emulation strategies and integrated test platforms specifically oriented to image read-out integrated circuits. DPS cells, imagers and test chips have been fabricated and characterized in standard 0.15μm 1P6M, 0.35μm 2P4M and 2.5μm 2P1M CMOS technologies, all as part of research projects with industrial partnership.
The research has led to the first high-speed uncooled frame-based IR quantum imager monolithically fabricated in a standard VLSI CMOS technology, and has given rise to the Tachyon series [1], a new line of commercial IR cameras used in real-time industrial, environmental and transportation control systems. The frame-free architectures investigated in this work represent a firm step forward to push further pixel pitch and system bandwidth up to the limits imposed by the evolving PbSe detector in future generations of the device.La present tesi doctoral descriu la recerca i el desenvolupament d'una nova tecnologia monolítica d'imatgeria infraroja de longitud d'ona mitja (MWIR), no refrigerada i de baix cost, per a usos industrials d'alta velocitat. El treball pren el relleu dels últims avenços assolits pel soci industrial NIT S.L. en el camp dels detectors MWIR de PbSe depositats en fase vapor (VPD), afegint-hi coneixement fonamental en la investigació de noves tècniques de disseny de circuits VLSI analògics i mixtes pel desenvolupament del dispositiu integrat de lectura unit al detector pixelat. Es parteix de la hipòtesi que, mitjançant l'ús de les esmentades tècniques de disseny, les tecnologies CMOS estàndard satisfan tots els requeriments operacionals del detector VPD PbSe respecte a connectivitat, fiabilitat, funcionalitat i escalabilitat per integrar de forma econòmica el dispositiu. La càmera PbSe-CMOS resultant ha de consumir molt baixa potència, operar a freqüències de kHz, exhibir bona uniformitat, i encabir els píxels actius CMOS de lectura en el pitch compacte del pla focal de la imatge, tot atenent a les particulars característiques del detector: altes relacions de corrent d'obscuritat a senyal, elevats valors de capacitat paràsita a l'entrada i dispersions importants en el procés de fabricació. Amb la finalitat de complir amb els requisits previs, es proposen arquitectures de sensors de visió de molt baix acoblament interpíxel basades en l'ús d'una matriu de pla focal (FPA) de píxels actius exclusivament digitals. Cada píxel sensor digital (DPS) està equipat amb mòduls de comunicació d'alta velocitat, autopolarització, cancel·lació de l'offset, conversió analògica-digital (ADC) i correcció del soroll de patró fixe (FPN). El consum en cada cel·la es minimitza fent un ús exhaustiu del MOSFET operant en subllindar. L'objectiu últim és potenciar la integració de les tecnologies de sensat d'imatge infraroja (IR) basades en PbSe per expandir-ne el seu ús, no només a diferents escenaris, sinó també en diferents estadis de maduresa de la integració PbSe-CMOS. En aquest sentit, es proposa investigar un conjunt complet de blocs funcionals distribuïts en dos enfocs paral·lels: - Dispositius d'imatgeria MWIR "Smart" basats en frames utilitzant noves topologies de circuit DPS amb correcció de l'FPN en guany i offset. Aquesta línia de recerca exprimeix el pitch del detector per oferir una programabilitat completament digital a nivell de píxel i plena funcionalitat amb compensació de la capacitat paràsita d'entrada i memòria interna de fotograma. - Dispositius de visió MWIR "Compact"-pitch "frame-free" en base a un novedós esquema d'integració analògica en el DPS i diferenciació temporal configurable, combinats amb protocols de comunicació asíncrons dins del pla focal. Aquesta estratègia es concep per permetre una alta compactació del pitch i un increment de la velocitat de lectura, mitjançant la supressió del filtrat digital intern i l'assignació dinàmica de l'ample de banda a cada píxel de l'FPA. Per tal d'independitzar la validació elèctrica dels primers prototips respecte a costosos processos de deposició del PbSe sensor a nivell d'oblia, la recerca s'amplia també al desenvolupament de noves estratègies d'emulació del detector d'IR i plataformes de test integrades especialment orientades a circuits integrats de lectura d'imatge. Cel·les DPS, dispositius d'imatge i xips de test s'han fabricat i caracteritzat, respectivament, en tecnologies CMOS estàndard 0.15 micres 1P6M, 0.35 micres 2P4M i 2.5 micres 2P1M, tots dins el marc de projectes de recerca amb socis industrials. Aquest treball ha conduït a la fabricació del primer dispositiu quàntic d'imatgeria IR d'alta velocitat, no refrigerat, basat en frames, i monolíticament fabricat en tecnologia VLSI CMOS estàndard, i ha donat lloc a Tachyon, una nova línia de càmeres IR comercials emprades en sistemes de control industrial, mediambiental i de transport en temps real.Postprint (published version
DESIGN OF SMART SENSORS FOR DETECTION OF PHYSICAL QUANTITIES
Microsystems and integrated smart sensors represent a flourishing business thanks to the manifold benefits of these devices with respect to their respective macroscopic counterparts. Miniaturization to micrometric scale is a turning point to obtain high sensitive and reliable devices with enhanced spatial and temporal
resolution. Power consumption compatible with battery operated systems, and reduced cost per device are also pivotal for their success. All these characteristics make investigation on this filed very active nowadays.
This thesis work is focused on two main themes: (i) design and development of a single chip smart flow-meter; (ii) design and development of readout interfaces for capacitive micro-electro-mechanical-systems (MEMS) based on capacitance to pulse width modulation conversion.
High sensitivity integrated smart sensors for detecting very small flow rates of both gases and liquids aiming to fulfil emerging demands for this kind of devices in the industrial to environmental and medical applications. On the other hand, the prototyping of such sensor is a multidisciplinary activity involving the study of
thermal and fluid dynamic phenomenon that have to be considered to obtain a correct design. Design, assisted by finite elements CAD tools, and fabrication of the sensing structures using features of a standard CMOS process is discussed in the first chapter. The packaging of fluidic sensors issue is also illustrated as it has a
great importance on the overall sensor performances. The package is charged to allow optimal interaction between fluids and the sensors and protecting the latter from the external environment. As miniaturized structures allows a great spatial resolution, it is extremely challenging to fabricate low cost packages for multiple flow rate measurements on the same chip. As a final point, a compact anemometer prototype, usable for wireless sensor network nodes, is described.
The design of the full custom circuitry for signal extraction and conditioning is coped in the second chapter, where insights into the design methods are given for analog basic building blocks such as amplifiers, transconductors, filters, multipliers,
current drivers. A big effort has been put to find reusable design guidelines and
trade-offs applicable to different design cases. This kind of rational design enabled the implementation of complex and flexible functionalities making the interface circuits able to interact both with on chip sensors and external sensors.
In the third chapter, the chip floor-plan designed in the STMicroelectronics BCD6s
process of the entire smart flow sensor formed by the sensing structures and the readout electronics is presented. Some preliminary tests are also covered here.
Finally design and implementation of very low power interfaces for typical MEMS
capacitive sensors (accelerometers, gyroscopes, pressure sensors, angular displacement and chemical species sensors) is discussed. Very original circuital topologies, based on chopper modulation technique, will be illustrated. A prototype, designed within a joint research activity is presented. Measured performances
spurred the investigation of new techniques to enhance precision and accuracy capabilities of the interface.
A brief introduction to the design of active pixel sensors interface for hybrid CMOS
imagers is sketched in the appendix as a preliminary study done during an internship in the CNM-IMB institute of Barcelona
Low Power Cmos Circuit Design And Reliability Analysis For Wireless Me
A sensor node \u27AccuMicroMotion\u27 is proposed that has the ability to detect motion in 6 degrees of freedom for the application of physiological activity monitoring. It is expected to be light weight, low power, small and cheap. The sensor node may collect and transmit 3 axes of acceleration and 3 axes of angular rotation signals from MEMS transducers wirelessly to a nearby base station while attached to or implanted in human body. This dissertation proposes a wireless electronic system-on-a-single-chip to implement the sensor in a traditional CMOS process. The system is low power and may operate 50 hours from a single coin cell battery. A CMOS readout circuit, an analog to digital converter and a wireless transmitter is designed to implement the proposed system. In the architecture of the \u27AccuMicroMotion\u27 system, the readout circuit uses chopper stabilization technique and can resolve DC to 1 KHz and 200 nV signals from MEMS transducers. The base band signal is digitized using a 10-bit successive approximation register analog to digital converter. Digitized outputs from up to nine transducers can be combined in a parallel to serial converter for transmission by a 900 MHz RF transmitter that operates in amplitude shift keying modulation technique. The transmitter delivers a 2.2 mW power to a 50 Ù antenna. The system consumes an average current of 4.8 mA from a 3V supply when 6 sensors are in operation and provides an overall 60 dB dynamic range. Furthermore, in this dissertation, a methodology is developed that applies accelerated electrical stress on MOS devices to extract BSIM3 models and RF parameters through measurements to perform comprehensive study, analysis and modeling of several analog and RF circuits under hot carrier and breakdown degradation
- …