576 research outputs found
Analysis of VCO based noise shaping ADCs linearized by PWM modulation
Nonlinearity is one of the main problems associated with VCO based noise shaping ADCs. Their open loop architecture does not permit correction of the nonlinear voltage to frequency response of the VCO by feedback. Recently, linearization of a VCO ADC by Pulse Width Modulation (PWM) precoding has been proposed. Here, the input signal is encoded by a PWM modulator to drive the VCO with a 2-level signal, thus eliminating the nonlinearity of the VCO. This paper analyzes the remaining inherent distortion in such modulators which originates from subsampling the PWM sidebands
True high-order VCO-based ADC
A novel approach to use a voltage-controlled oscillator (VCO) as the first integrator of a high-order continuous-time delta-sigma modulator (CT-DSM) is presented. In the proposed architecture, the VCO is combined with a digital up-down counter to implement the first integrator of the CT-DSM. Thus, the first integrator is digital-friendly and hence can maximally benefit from technological scaling
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Delta modulators have been replaced by continuous time Sigma-Delta converters.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
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
A CCO-based Sigma-Delta ADC
Analog-to-digital converter (ADC) is one of the most important blocks in nowadays systems. Most of the data processing is done in the digital domain however, the physical world is analog. ADCs make the bridge between analog and digital domain.
The constant and unstoppable evolution of the technology makes the dimensions of the transistors smaller and smaller, and the classical solutions of Sigma-Delta converters (ΣΔ) are becoming more challenging to design because they normally require high active gain blocks difficult to achieve in modern technologies.
In recent years, the use of voltage-controlled oscillators (VCO) in ΣΔ converters has been widely explored, since they are used as quantizers and their implementations are mostly made with digital blocks, which is preferable with new technologies.
In this work a second-order ΣΔ modulator based on two current-controlled oscillators (CCO) with a single output phase and an independent phase generator for each CCO that generates any desired number of phases using the oscillation of its CCO as reference has been proposed.
This ΣΔ modulator was studied through a MATLAB/Simulink® model, obtaining promising results with the SNDR in the order of 75 dB, at a sampling frequency of 1 GHz, and a bandwidth of 5 MHz, corresponding to an ENOB of, approximately, 12 bits
Study of voltage controlled oscillator based analog-to-digital converter
A voltage controlled oscillator (VCO) based analog-to-digital converter (ADC) is a time based architecture with a first-order noise-shaping property, which can be implemented using a VCO and digital circuits. This thesis analyzes the performance of VCO-based ADCs in the presence of non idealities such as jitter, nonlinearity, mismatch, and the metastability of D flip-flops. Based on this analysis, design criteria for determining parameters for VCO-based ADCs are described.
Further, the study involves the use of VCO based Dual-slope A/D converter and its behaviour under different input voltage level. Graph is plotted between output voltages of the integrator vs. time. Digital circuits like a bit-counter and logic circuits are used for operation mode. A normal VCO model is also done in MATLAB-simulink environment and studied under variable input frequency and corresponding output plots are view
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
VCO-based ADC with a simplified DAC for non-linearity correction
The performance of open-loop ADCs implemented with VCOs is limited by VCO non-linearity and first-order noise shaping. The resolution limitation imposed by first-order noise shaping can be compensated by a ring oscillator VCO with many output phases. Linearity can also be improved by using a feedback loop around the VCO closed with a DAC. However, a long ring oscillator may require a DAC with a prohibitive number of bits if feedback is used to compensate distortion. This Letter proposes an ADC architecture based on the Leslie-Singh Sigma-Delta (Σ∆) modulator that allows to implement a distortion correction loop around a VCO with a simplified DAC of few levels, yet keeping a large number of output quantisation levels to maintain resolution. The Letter discusses the system-level architecture and shows an implementation circuit example to verify the effective correction of distortion.This work has been supported by the CICYT project TEC2014-56879-R, Spain
A power efficient delta-sigma ADC with series-bilinear switch capacitor voltage-controlled oscillator
In low-power VLSI design applications non-linearity and harmonics are a major dominant factor which affects the performance of the ADC. To avoid this, the new architecture of voltage-controlled oscillator (VCO) was required to solve the non-linearity issues and harmonic distortion. In this work, a 12-bit, 200MS/s low power delta-sigma analog to digital converter (ADC) VCO based quantizer was designed using switched capacitor technique. The proposed technique uses frequency to current conversion technique as a linearization method to reduce the non-linearity issue. Simulation result show that the proposed 12-bit delta-sigma ADC consumes the power of 2.68 mW and a total area of 0.09 mm² in 90 nm CMOS process
Ring-oscillator with multiple transconductors for linear analog-to-digital conversion
This paper proposes a new circuit-based approach to mitigate nonlinearity in open-loop ring-oscillator-based analog-to-digital converters (ADCs). The approach consists of driving a current-controlled oscillator (CCO) with several transconductors connected in parallel with different bias conditions. The current injected into the oscillator can then be properly sized to linearize the oscillator, performing the inverse current-to-frequency function. To evaluate the approach, a circuit example has been designed in a 65-nm CMOS process, leading to a more than 3-ENOB enhancement in simulation for a high-swing differential input voltage signal of 800-mVpp, with considerable less complex design and lower power and expected area in comparison to state-of-the-art circuit based solutions. The architecture has also been checked against PVT and mismatch variations, proving to be highly robust, requiring only very simple calibration techniques. The solution is especially suitable for high-bandwidth (tens of MHz) medium-resolution applications (10–12 ENOBs), such as 5G or Internet-of-Things (IoT) devices.This research was funded by Project TEC2017-82653-R, Spain
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