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 Alternatively, switched-capacitor based Sigma- Delta modulators have been replaced by continuous time Sigma-Delta converters.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-based circuits for communication systems in advanced CMOS technology

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Cataloged from student submitted PDF version of thesis.Includes bibliographical references (p. 145-151).As device size scales down, there have been challenges to design conventional analog circuits, such as low voltage headroom and the low intrinsic gain of a device. Although ever-decreasing device channel length in CMOS technology has mainly negative effects on analog circuits, it increases device speed and reduces the power consumption of digital circuits. As a result, time-based signal processing has been attracting attention because time-based circuits take advantage of high speed and low power devices to deal with analog information in the time domain. In this thesis, we focus on a ring oscillator as a core time-based circuit for communication systems. Ring oscillators are employed in analog-to-time conversion or time-to-digital conversion. In this work, we present A/D converters and an RF modulator based on ring oscillators in deep sub-micron CMOS processes. We introduce a VCO-based [sigma][delta] A/D converter utilizing a voltage-controlled ring oscillator (ring VCO) as a continuous-time integrator. We propose to replace conventional integrators designed with analog circuits in a [sigma][delta] modulator with a ring VCO and a phase detector, thereby implementing an A/D converter without traditional analog circuits. We also propose a single-slope A/D converter using time-to-digital conversion. By combining a few analog circuits and a ring oscillator based Time-to-Digital Converter (TDC), we achieve highly digital A/D conversion. Finally, we demonstrate a VCO-based RF modulator. The proposed RF modulator generates an RF signal by simply switching transistors. As opposed to an RFDAC approach, the proposed RF modulator is not limited by quantization noise because it employs multiphase PWM signals. A VCO-based OP amp is also introduced as an alternative method of designing an OP amp in deep sub-micron CMOS. The proposed VCO-based OP amp is utilized to generate the multiphase PWM signals in the RF modulator. This thesis also presents the fundamental limitations of a ring oscillator as a timebased circuit. Although the idea of time-based signal processing employing a ring oscillator has its own limitations such as non-linear tuning characteristics and phase noise, the basic idea is worth investigating to solve the serious problems of analog circuits for future CMOS technology.by Min Park.Ph.D

Time-Based Analog to Digital Converters.

Low-power, small analog-to-digital converters (ADCs) have numerous applications in areas ranging from power-aware wireless sensing nodes for environmental monitoring to biomedical monitoring devices in point-of-care (PoC) instruments. The work focuses on ultra-low-power, and highly integrated implementations of ADCs, in nanometer-scale complementary metal-oxide-semiconductor (CMOS) very large scale (VLSI) integrated circuit fabrication technologies. In particular, we explore time-based techniques for data conversion, which can potentially achieve significant reductions in power consumption while keeping silicon chip area small, compared to today’s state-of-the-art ADC architectures. Today, digital integrated circuits and digital signal processors (DSP) are taking advantage of technology scaling to achieve improvements power, speed, and cost. Meanwhile, as technology scaling reduces supply voltage and intrinsic transistor gain, analog circuit designers face disadvantages. With these disadvantages of technology scaling, two new broad trends have emerged in ADC research. The first trend is the emergence of digitally-assisted analog design, which emphasizes the relaxation of analog domain precision and the recovering accuracy (and performance) in the digital domain. This approach is a good match to the capabilities of fine line technology and helps to reduce power consumption. The second trend is the representation of signals, and the processing of signals, in the time domain. Technology scaling and its focus on high-performance digital systems offers better time resolution by reducing the gate delay. Therefore, if we represent a signal as a period of time, rather than as a voltage, we can take advantage of technology scaling, and potentially reduce power consumption and die area. This thesis focuses on pulse position modulation (PPM) ADCs, which incorporate time-domain processing and digitally assisted analog circuitry. This architecture reduces power consumption and area significantly, without sacrificing performance. The input signal is pulse position modulated and the analog information is carried in the form of timing intervals. Timing measurement accuracy presents a major challenge and we present various methods in which accuracy can be achieved using CMOS processes. This ‘digital’ approach is more power efficient compared with pure analog solutions, utilized for amplitude measurement of input signals.Ph.D.Electrical EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/64787/1/naraghi_1.pd

On-Chip Analog Circuit Design Using Built-In Self-Test and an Integrated Multi-Dimensional Optimization Platform

Nowadays, the rapid development of system-on-chip (SoC) market introduces tremendous complexity into the integrated circuit (IC) design. Meanwhile, the IC fabrication process is scaling down to allow higher density of integration but makes the chips more sensitive to the process-voltage-temperature (PVT) variations. A successful IC product not only imposes great pressure on the IC designers, who have to handle wider variations and enforce more design margins, but also challenges the test procedure, leading to more check points and longer test time. To relax the designers’ burden and reduce the cost of testing, it is valuable to make the IC chips able to test and tune itself to some extent. In this dissertation, a fully integrated in-situ design validation and optimization (VO) hardware for analog circuits is proposed. It implements in-situ built-in self-test (BIST) techniques for analog circuits. Based on the data collected from BIST, the error between the measured and the desired performance of the target circuit is evaluated using a cost function. A digital multi-dimensional optimization engine is implemented to adaptively adjust the analog circuit parameters, seeking the minimum value of the cost function and achieving the desired performance. To verify this concept, study cases of a 2nd/4th active-RC band-pass filter (BPF) and a 2nd order Gm-C BPF, as well as all BIST and optimization blocks, are adopted on-chip. Apart from the VO system, several improved BIST techniques are also proposed in this dissertation. A single-tone sinusoidal waveform generator based on a finite-impulse-response (FIR) architecture, which utilizes an optimization algorithm to enhance its spur free dynamic range (SFDR), is proposed. It achieves an SFDR of 59 to 70 dBc from 150 to 850 MHz after the optimization procedure. A low-distortion current-steering two-tone sinusoidal signal synthesizer based on a mixing-FIR architecture is also proposed. The two-tone synthesizer extends the FIR architecture to two stages and implements an up-conversion mixer to generate the two tones, achieving better than -68 dBc IM3 below 480 MHz LO frequency without calibration. Moreover, an on-chip RF receiver linearity BIST methodology for continuous and discrete-time hybrid baseband chain is proposed. The proposed receiver chain implements a charge-domain FIR filter to notch the two excitation signals but expose the third order intermodulation (IM3) tones. It simplifies the linearity measurement procedure–using a power detector is enough to analyze the receiver’s linearity. Finally, a low cost fully digital built-in analog tester for linear-time-invariant (LTI) analog blocks is proposed. It adopts a time-to-digital converter (TDC) to measure the delays corresponded to a ramp excitation signal and is able to estimate the pole or zero locations of a low-pass LTI system

Pipeline analog-to-digital converters for wide-band wireless communications

During the last decade, the development of the analog electronics has been dictated by the enormous growth of the wireless communications. Typical for the new communication standards has been an evolution towards higher data rates, which allows more services to be provided. Simultaneously, the boundary between analog and digital signal processing is moving closer to the antenna, thus aiming for a software defined radio. For analog-to-digital converters (ADCs) of radio receivers this indicates higher sample rate, wider bandwidth, higher resolution, and lower power dissipation. The radio receiver architectures, showing the greatest potential to meet the commercial trends, include the direct conversion receiver and the super heterodyne receiver with an ADC sampling at the intermediate frequency (IF). The pipelined ADC architecture, based on the switched capacitor (SC) technique, has most successfully covered the widely separated resolution and sample rate requirements of these receiver architectures. In this thesis, the requirements of ADCs in both of these receiver architectures are studied using the system specifications of the 3G WCDMA standard. From the standard and from the limited performance of the circuit building blocks, design constraints for pipeline ADCs, at the architectural and circuit level, are drawn. At the circuit level, novel topologies for all the essential blocks of the pipeline ADC have been developed. These include a dual-mode operational amplifier, low-power voltage reference circuits with buffering, and a floating-bulk bootstrapped switch for highly-linear IF-sampling. The emphasis has been on dynamic comparators: a new mismatch insensitive topology is proposed and measurement results for three different topologies are presented. At the architectural level, the optimization of the ADCs in the single-chip direct conversion receivers is discussed: the need for small area, low power, suppression of substrate noise, input and output interfaces, etc. Adaptation of the resolution and sample rate of a pipeline ADC, to be used in more flexible multi-mode receivers, is also an important topic included. A 6-bit 15.36-MS/s embedded CMOS pipeline ADC and an 8-bit 1/15.36-MS/s dual-mode CMOS pipeline ADC, optimized for low-power single-chip direct conversion receivers with single-channel reception, have been designed. The bandwidth of a pipeline ADC can be extended by employing parallelism to allow multi-channel reception. The errors resulted from mismatch of parallel signal paths are analyzed and their elimination is presented. Particularly, an optimal partitioning of the resolution between the stages, and the number of parallel channels, in time-interleaved ADCs are derived. A low-power 10-bit 200-MS/s CMOS parallel pipeline ADC employing double sampling and a front-end sample-and-hold (S/H) circuit is implemented. Emphasis of the thesis is on high-resolution pipeline ADCs with IF-sampling capability. The resolution is extended beyond the limits set by device matching by using calibration, while time interleaving is applied to widen the signal bandwidth. A review of calibration and error averaging techniques is presented. A simple digital self-calibration technique to compensate capacitor mismatch within a single-channel pipeline ADC, and the gain and offset mismatch between the channels of a time-interleaved ADC, is developed. The new calibration method is validated with two high-resolution BiCMOS prototypes, a 13-bit 50-MS/s single-channel and a 14-bit 160-MS/s parallel pipeline ADC, both utilizing a highly linear front-end allowing sampling from 200-MHz IF-band.reviewe