26 research outputs found

    Low-voltage Low-power Switched-Capacitor ?S Modulator Design

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    Ph.DDOCTOR OF PHILOSOPH

    A 3-Bit Current Mode Quantizer for Continuous Time Delta Sigma Analog-to-Digital Converters

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    The summing amplifier and the quantizer form two of the most critical blocks in a continuous time delta sigma (CT ΔΣ) analog-to-digital converter (ADC). Most of the conventional CT ΔΣ ADC designs incorporate a voltage summing amplifier and a voltage-mode quantizer. The high gain-bandwidth (GBW) requirement of the voltage summing amplifier increases the overall power consumption of the CT ΔΣ ADC. In this work, a novel method of performing the operations of summing and quantization is proposed. A current-mode summing stage is proposed in the place of a voltage summing amplifier. The summed signal, which is available in current domain, is then quantized with a 3-bit current mode flash ADC. This current mode summing approach offers considerable power reduction of about 80% compared to conventional solutions [2]. The total static power consumption of the summing stage and the quantizer is 5.3mW. The circuits were designed in IBM 90nm process. The static and dynamic characteristics of the quantizer are analyzed. The impact of process and temperature variation and mismatch tolerance as well as the impact of jitter, in the presence of an out-of-band blocker signal, on the performance of the quantizer is also studied

    Contribution to time domain readout circuits design for multi-standard sensing system for low voltage supply and high-resolution applications

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    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

    Efficient Continuous-Time Sigma-Delta Converters for High Frequency Applications

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    Over the years Continuous-Time (CT) Sigma-Delta (ΣΔ) modulators have received a lot of attention due to their ability to efficiently digitize a variety of signals, and suitability for many different applications. Because of their tolerance to component mismatch, the easy to drive input structure, as well as intrinsic anti-aliasing filtering and noise shaping abilities, CTΣΔ modulators have become one of the most popular data-converter type for high dynamic range and moderate/wide bandwidth. This trend is the result of faster CMOS technologies along with design innovations such as better architectures and faster amplifiers. In other words, CTΣΔ modulators are starting to offer the best of both worlds, with high resolution and high bandwidth. This dissertation focuses on the bandwidth and resolution of CTΣΔ modulators. The goal of this research is to use the noise shaping benefits of CTΣΔ modulators for different wireless applications, while achieving high resolution and/or wide bandwidth. For this purpose, this research focuses on two different application areas that demand speed and resolution. These are a low-noise high-resolution time-to-digital converter (TDC), ideal for digital phase lock loops (PLL), and a very high-speed, wide-bandwidth CTΣΔ modulator for wireless communication. The first part of this dissertation presents a new noise shaping time-to-digital converter, based on a CTΣΔ modulator. This is intended to reduce the in-band phase noise of a high frequency digital phase lock loop (PLL) without reducing its loop bandwidth. To prove the effectiveness of the proposed TDC, 30GHz and a 40GHz fractional-N digital PLL are designed as a signal sources for a 240GHz FMCW radar system. Both prototypes are fabricated in a 65nm CMOS process. The standalone TDC achieves 81dB dynamic range and 13.2 equivalent number of bits (ENOB) with 176fs integrated-rms noise from 1MHz bandwidth. The in-band phase noise of the 30GHz digital fractional-N PLL is measured as -87dBc/Hz at a 100kHz offset which is equivalent to -212.6dBc/Hz2 normalized in-band phase noise. The second part of this dissertation focuses on high-speed (GS/s) CTΣΔ modulators for wireless communication, and introduces a new time-interleaved reference data weighted averaging (TI-RDWA) architecture suitable for GS/s CTΣΔ modulators. This new architecture shapes the digital-to-analog converter (DAC) mismatch effects in a CTΣΔ modulator at GS/s operating speeds. It allows us to use smaller DAC unit sizes to reduce area and power consumption for the same bandwidth. The prototype 5GS/s CTΣΔ modulator with TI-RDWA is fabricated in 40nm CMOS and it achieves 156MHz bandwidth, 70dB dynamic range, 84dB SFDR and a Schreier FoM of 158.3dB.PHDElectrical EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttps://deepblue.lib.umich.edu/bitstream/2027.42/138763/1/bdayanik_1.pd

    High Speed and Wide Bandwidth Delta-Sigma ADCs

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    A Low Power Sigma-Delta Modulator with Hybrid Architecture

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    Analogue-to-digital converters (ADC) using oversampling technology and Σ-∆ modulation mechanism are widely applied in digital audio systems. This paper presents an audio modulator with high accuracy and low power consumption by using discrete second-order feedforward structure. A 5-bit SAR (Successive-approximation-register) quantizer is integrated into the chip, which reduces the number of comparators and the power consumption of the quantizer compared with Flash ADC type quantizers. An analogue passive adder is used to sum the input signals and it is embedded in a SAR ADC composed of capacitor array and a dynamic comparator which has no static power consumption. To validate the design concept, the designed modulator is developed in a 180 nm CMOS process. The peak SNDR (signal to noise distortion ratio) is calculated as 106 dB and the total power consumption of the chip is recorded as 3.654 mW at the chip supply voltage of 1.8 V. The input sine wave of 0 to 25 kHz is sampled at a sampling frequency of 3.2 Ms/s. Moreover, the results achieve 16-bit ENOB (effective number of bits) when the amplitude of the input signal is varied between 0.15 V to 1.65 V. By comparing with other modulators which were realized by 180nm CMOS process, the proposed architecture outperforms with lower power consumption

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

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

    Low-voltage low-power continuous-time delta-sigma modulator designs

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    Ph.DDOCTOR OF PHILOSOPH
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