22 research outputs found
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 ADCs Design Techniques for Communication Systems
This work presents a novel technique to implement voltage-controlled oscillator based continuous-time Delta-Sigma analog-to-digital converters (VCO-based CT-ΔΣ ADCs) in closed-loop configuration. Over the past years there has been an upward trend in the use of these type of converters for instrumentation, audio and communication applications. The reason is that they are mostly digital and thus benefit from advances in deep-submicron
CMOS processes. VCO-based ADCs have been widely studied in a great deal of papers and it is known that one of its main drawbacks is the non-linearity it presents. To overcome this issue, to place the VCO within a closed-loop is usually done to attenuate its input magnitude level. However, to do so it is needed a digital-to-analog converter (DAC) as in a conventional CT-ΔΣ, therefore it is required for the DAC to be simple and it cannot present a high number of elements, being the latter a bottleneck for implementing VCOs with a high
number of inverters. This works presents a technique that enables to use VCOs with
severals inverters while keeping the same number of DAC elements as before. Based upon previous theoretical studies of the VCO-based ADCs which model it as a pulse frequency modulation encoder, this new technique is analyzed and linear models are developed in order to study its viability at system level. Moreover, how impairments related to a real implementation affect the use of this technique are also analyzed.
The contributions proposed in this document are focused but not limited to communication applications.Máster Universitario en Ingeniería de Sistemas Electrónicos y Aplicaciones. Curso 2018/201
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
A Modulo-Based Architecture for Analog-to-Digital Conversion
Systems that capture and process analog signals must first acquire them
through an analog-to-digital converter. While subsequent digital processing can
remove statistical correlations present in the acquired data, the dynamic range
of the converter is typically scaled to match that of the input analog signal.
The present paper develops an approach for analog-to-digital conversion that
aims at minimizing the number of bits per sample at the output of the
converter. This is attained by reducing the dynamic range of the analog signal
by performing a modulo operation on its amplitude, and then quantizing the
result. While the converter itself is universal and agnostic of the statistics
of the signal, the decoder operation on the output of the quantizer can exploit
the statistical structure in order to unwrap the modulo folding. The
performance of this method is shown to approach information theoretical limits,
as captured by the rate-distortion function, in various settings. An
architecture for modulo analog-to-digital conversion via ring oscillators is
suggested, and its merits are numerically demonstrated
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Time-based noise-shaping techniques for time-to-digital and analog-to-digital converters
In this dissertation, time-based signal processing techniques and their applications in oversampling and noise-shaping data converters are examined. These techniques demonstrate the ability to shift the burden of high performance analog circuits from the compressed voltage-domain to the augmented time-domain. First, the potential of high order noise-shaping and phase-domain feedback in time-to-digital converters (TDCs) is explored. A prototype phase reference, second-order continuous-time delta-sigma TDC for sensor applications was fabricated in 90nm CMOS and achieves 64 dB dynamic range in 1MHz signal bandwidth. Second, an ultra-high performance oscillator-based delta-sigma modulator architecture is investigated. The proposed circuit is a third-order continuous-time PLL-Based
Delta-Sigma Modulator with simulated 77 dB SNDR in 40MHz signal bandwidth with OSR of 16, and is fabricated in 65nm CMOS
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Next generation analog-to-digital conversion using time-based encoding and digital synthesis techniques
The internet-of-things is a growing market segment which is based on an arrayof portable communication devices with high power efficiency. Advanced semiconductortechnology can easily improve their digital performance, but the samecannot be said for the analog blocks which are vital to their operation. Highperformance analog circuits continue to use conventional design techniques andarchitectures at the expense of power efficiency. Deeply scaled CMOS exaggeratesthis trade-off, opening the door for novel system techniques that take advantage ofthe digital nature of sub-micron transistors. This research focuses on two highlydigital ADCs which can mitigate the short channel effects of limited output swingand low intrinsic gain while also benefiting from process scaling.First, a multi-domain ADC is used to perform quantization on both voltageand time domain signals, relaxing the power-performance trade-off. This hybridapproach can lead to a high resolution, high efficiency data converter in scaledprocess. A prototype ADC was fabricated in 180nm CMOS, showing an SNDRof 73 dB, operating at 20 MHz sampling frequency, with a power consumption of1.28 mW.Next, an automated synthesis process is used to automatically generate a highspeed VCO-based quantizer from verilog code. Stochastic spatial averaging iscombined with a high speed open-loop noise-shaping quantizer to provide enhancedresolution in the presence of device mismatch. Simulation results of a prototypeADC in 180nm CMOS shows an SNDR of 49 dB, operating at 800 MHz samplingfrequency and 50 MHz signal bandwidth.Keywords: data converter, synthesis, verilog, ADC, SAR, TD
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Optimum quantization for the adaptive loops in MDFE
Multi-level decision feedback equalization (MDFE) is a sampled signal processing technique for data recovery from magnetic recording channels which use the 2/3(1,7) run length limited code. The key adaptive feedback loops in MDFE are those which perform the timing recovery, gain recovery, dc offset detection, and adaptive equalization of the feedback equalizer. The algorithms used by these adaptive loops are derived from the channel error which is the deviation of the equalized signal from its ideal value. It is advantageous to convert this error signal to a digital value using a flash analog-to-digital converter (flash ADC) to simplify the implementation of the adaptive loops.
In this thesis, a scheme to place the thresholds of the flash ADC is presented. The threshold placement has been optimized based on the steady-state probability density function (pdf) of the signal to be quantized. The resolution constraints imposed by this quantization scheme on the adaptive loops has been characterized. As the steady-state assumption for the signal to be quantized is not valid during the transient state of the adaptive loops, the loop transients with this quantization scheme have been analyzed through simulations. The conditions under which the channel can recover from a set of start-up errors and converge successfully into steady-state have been specified. The steady-state channel performance with the noise introduced by the iterative nature of the adaptive loops along with this quantization scheme has also been verified
Modeling, Optimization and Testing for Analog/Mixed-Signal Circuits in Deeply Scaled CMOS Technologies
As CMOS technologies move to sub-100nm regions, the design and verification
for analog/mixed-signal circuits become more and more difficult due to the problems
including the decrease of transconductance, severe gate leakage and profound mismatches.
The increasing manufacturing-induced process variations and their impacts
on circuit performances make the already complex circuit design even more sophisticated
in the deeply scaled CMOS technologies. Given these barriers, efforts are
needed to ensure the circuits are robust and optimized with consideration of parametric
variations. This research presents innovative computer-aided design approaches
to address three such problems: (1) large analog/mixed-signal performance modeling
under process variations, (2) yield-aware optimization for complex analog/mixedsignal
systems and (3) on-chip test scheme development to detect and compensate
parametric failures.
The first problem focus on the efficient circuit performance evaluation with consideration
of process variations which serves as the baseline for robust analog circuit
design. We propose statistical performance modeling methods for two popular
types of complex analog/mixed-signal circuits including Sigma-Delta ADCs and
charge-pump PLLs. A more general performance modeling is achieved by employing
a geostatistics motivated performance model (Kriging model), which is accurate
and efficient for capturing stand-alone analog circuit block performances. Based on the generated block-level performance models, we can solve the more challenging
problem of yield-aware system optimization for large analog/mixed-signal systems.
Multi-yield pareto fronts are utilized in the hierarchical optimization framework so
that the statistical optimal solutions can be achieved efficiently for the systems. We
further look into on-chip design-for-test (DFT) circuits in analog systems and solve
the problems of linearity test in ADCs and DFT scheme optimization in charge-pump
PLLs. Finally a design example of digital intensive PLL is presented to illustrate the
practical applications of the modeling, optimization and testing approaches for large
analog/mixed-signal systems
Design of a Time Based Analog to Digital Converter
Analog to digital converter (ADC) plays a very important role in any mixed analog/digital system. Because digital CMOS technology can take advantage of technology scaling, system designers try to increase the percentage of the digital part of the system. This means moving the ADC more and more towards the input of the system which results in making the role of the ADC more and more critical. With technology scaling, the switching characteristics of MOS transistors offer superb timing accuracy at high frequencies. This makes the time based analog to digital converter (TADC) a good alternative to the conventional ADCs in sub-micron region.
In this thesis, an all digital TADC structure is proposed. This TADC is based on an analog to time converter (ATC), followed by a time to digital converter (TDC). The TDC is based on sigma-delta modulation. A non-linear multi-bit internal quantizer in sigma-delta modulator is used to counteract the nonlinearity introduced when the VCO is used as the ATC. The novel TADC also uses an implicit sample and hold (S/H) circuit to reduce area. Dynamic element matching (DEM) is used to improve the robustness of the system against random mismatch in the multi-bit quantizer. Both first and second order sigma-delta modulator TADC are proposed. Simulations and measurements on the proposed TADC are provided. Measurements, from a prototype chip fabricated using 0.13um CMOS technology, show that the first order TADC has achieved a dynamic range of 11 bits for a bandwidth of 2MHz. While simulation results show a dynamic range of 12 bit. Simulations show that the second order TADC has achieved a dynamic range of 12bit for a bandwidth of 20MHz