Noise shaping Asynchronous SAR ADC based time to digital converter

Time-to-digital converters (TDCs) are key elements for the digitization of timing information in modern mixed-signal circuits such as digital PLLs, DLLs, ADCs, and on-chip jitter-monitoring circuits. Especially, high-resolution TDCs are increasingly employed in on-chip timing tests, such as jitter and clock skew measurements, as advanced fabrication technologies allow fine on-chip time resolutions. Its main purpose is to quantize the time interval of a pulse signal or the time interval between the rising edges of two clock signals. Similarly to ADCs, the performance of TDCs are also primarily characterized by Resolution, Sampling Rate, FOM, SNDR, Dynamic Range and DNL/INL. This work proposes and demonstrates 2nd order noise shaping Asynchronous SAR ADC based TDC architecture with highest resolution of 0.25 ps among current state of art designs with respect to post-layout simulation results. This circuit is a combination of low power/High Resolution 2nd Order Noise Shaped Asynchronous SAR ADC backend with simple Time to Amplitude converter (TAC) front-end and is implemented in 40nm CMOS technology. Additionally, special emphasis is given on the discussion on various current state of art TDC architectures.Electrical and Computer Engineerin

A 10-bit Charge-Redistribution ADC Consuming 1.9 μW at 1 MS/s

This paper presents a 10 bit successive approximation ADC in 65 nm CMOS that benefits from technology scaling. It meets extremely low power requirements by using a charge-redistribution DAC that uses step-wise charging, a dynamic two-stage comparator and a delay-line-based controller. The ADC requires no external reference current and uses only one external supply voltage of 1.0 V to 1.3 V. Its supply current is proportional to the sample rate (only dynamic power consumption). The ADC uses a chip area of approximately 115--225 μm2. At a sample rate of 1 MS/s and a supply voltage of 1.0 V, the 10 bit ADC consumes 1.9 μW and achieves an energy efficiency of 4.4 fJ/conversion-step

Analyses of parasitic capacitance effects and flicker noise of the DAC capacitor array for high resolution SAR ADCs

Copyright © 2018 Inderscience Enterprises Ltd. This paper analyses the effects of parasitic capacitances of unit capacitors on the accuracy and the noise performance of the DAC capacitor array in a SAR ADC, showing that thermal noise of the array decreases while gain error is introduced. The gain error is almost independent of the number of bits, but the dynamic range of the high resolution ADC is severely reduced due to the gain error. The post-layout parasitic capacitance analysis of a 10-bit poly-poly array shows a large difference between the top-plate and bottom-plate parasitic capacitances so that the gain error can be decreased by 152 times when top-plates are connected together as the output node of the array. The switching transistors’ flicker noise calculation for a 10-bit and an 18-bit SAR ADC shows that flicker noise can be safely ignored for 10-bit 1MSPS SAR, but should be considered for the higher resolution SAR ADCs

An efficient tool for the assisted design of SAR ADCs capacitive DACs

The optimal design of SAR ADCs requires the accurate estimate of nonlinearity and parasitic capacitance effects in the feedback charge redistribution DAC. Since both contributions depend on the specific array topology, complex calculations, custom modeling and heavy simulations in common circuit design environments are often required. This paper presents a MATLAB-based numerical environment to assist the design of the charge redistribution DACs adopted in SAR ADCs. The tool performs both parametric and statistical simulations taking into account capacitive mismatch and parasitic capacitances computing both differential and integral nonlinearity (DNL, INL). An excellent agreement is obtained with the results of circuit simulators (e.g. Cadence Spectre) featuring up to 10^4 shorter simulation time, allowing statistical simulations that would be otherwise impracticable. The switching energy and SNDR degradation due to static nonlinear effects are also estimated. Simulations and measurements on three designed and two fabricated prototypes confirm that the proposed tool can be used as a valid instrument to assist the design of a charge redistribution SAR ADC and to predict its static and dynamic metrics

Low-Power Energy Efficient Circuit Techniques for Small IoT Systems

Although the improvement in circuit speed has been limited in recent years, there has been increased focus on the internet of things (IoT) as technology scaling has decreased circuit size, power usage and cost. This trend has led to the development of many small sensor systems with affordable costs and diverse functions, offering people convenient connection with and control over their surroundings. This dissertation discusses the major challenges and their solutions in realizing small IoT systems, focusing on non-digital blocks, such as power converters and analog sensing blocks, which have difficulty in following the traditional scaling trends of digital circuits. To accommodate the limited energy storage and harvesting capacity of small IoT systems, this dissertation presents an energy harvester and voltage regulators with low quiescent power and good efficiency in ultra-low power ranges. Switched-capacitor-based converters with wide-range energy-efficient voltage-controlled oscillators assisted by power-efficient self-oscillating voltage doublers and new cascaded converter topologies for more conversion ratio configurability achieve efficient power conversion down to several nanowatts. To further improve the power efficiency of these systems, analog circuits essential to most wireless IoT systems are also discussed and improved. A capacitance-to-digital sensor interface and a clocked comparator design are improved by their digital-like implementation and operation in phase and frequency domain. Thanks to the removal of large passive elements and complex analog blocks, both designs achieve excellent area reduction while maintaining state-of-art energy efficiencies. Finally, a technique for removing dynamic voltage and temperature variations is presented as smaller circuits in advanced technologies are more vulnerable to these variations. A 2-D simultaneous feedback control using an on-chip oven control locks the supply voltage and temperature of a small on-chip domain and protects circuits in this locked domain from external voltage and temperature changes, demonstrating 0.0066 V/V and 0.013 °C/°C sensitivities to external changes. Simple digital implementation of the sensors and most parts of the control loops allows robust operation within wide voltage and temperature ranges.PHDElectrical EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttps://deepblue.lib.umich.edu/bitstream/2027.42/138743/1/wanyeong_1.pd

Power Efficient ADCs for Biomedical Signal Acquisition

Open Access.Peer reviewe

An 8-Bit Analog-to-Digital Converter for Battery Operated Wireless Sensor Nodes

Wireless sensing networks (WSNs) collect analog information transduced into the form of a voltage or current. This data is typically converted into a digital representation of the value and transmitted wirelessly using various modulation techniques. As the available power and size is limited for wireless sensor nodes in many applications, a medium resolution Analog-to-Digital Converter (ADC) is proposed to convert a sensed voltage with moderate speeds to lower power consumption. Specifications also include a rail-to-rail input range and minimized errors associated with offset, gain, differential nonlinearity, and integral nonlinearity. To achieve these specifications, an 8-bit successive approximation register ADC is developed which has a conversion time of nine clock cycles. This ADC features a charge scaling array included to achieve minimized power consumption and area by reducing unit capacitance in the digital-to-analog converter. Furthermore, a latched comparator provides fast decisions utilizing positive feedback. The ADC was designed and simulated using Cadence Virtuoso with parasitic extraction over expected operating temperature range of 0 – 85°C. The design was fabricated using TSMC’s 65 nanometer RF GP process and tested on a printed circuit board to verify design specifications. The measured results for the device show an offset and gain error of +7 LSB and 31.1 LSB, respectively, and a DNL range of -0.9 LSB to +0.8 LSB and an INL range of approximately -4.6 LSB to +12 LSB. The INL is much improved in regard to the application of the temperature sensor. The INL for this region of interest is from -3.5 LSB to +2.8 LSB

Pixels for focal-plane scale space generation and for high dynamic range imaging

Focal-plane processing allows for parallel processing throughout the entire pixel matrix, which can help increasing the speed of vision systems. The fabrication of circuits inside the pixel matrix increases the pixel pitch and reduces the fill factor, which leads to reduced image quality. To take advantage of the focal-plane processing capabilities and minimize image quality reduction, we first consider the inclusion of only two extra transistors in the pixel, allowing for scale space generation at the focal plane. We assess the conditions in which the proposed circuitry is advantageous. We perform a time and energy analysis of this approach in comparison to a digital solution. Considering that a SAR ADC per column is used and the clock frequency is equal to 5.6 MHz, the proposed analysis show that the focal-plane approach is 26 times faster if the digital solution uses 10 processing elements, and 49 times more energy-efficient. Another way of taking advantage of the focal-plane signal processing capability is by using focal-plane processing for increasing image quality itself, such as in the case of high dynamic range imaging pixels. This work also presents the design and study of a pixel that captures high dynamic range images by sensing the matrix average luminance, and then adjusting the integration time of each pixel according to the global average and to the local value of the pixel. This pixel was implemented considering small structural variations, such as different photodiode sizes for global average luminance measurement. Schematic and post-layout simulations were performed with the implemented pixel using an input image of 76 dB, presenting results with details in both dark and bright image areas.O processamento no plano focal de imageadores permite que a imagem capturada seja processada em paralelo por toda a matrix de pixels, característica que pode aumentar a velocidade de sistemas de visão. Ao fabricar circuitos dentro da matrix de pixels, o tamanho do pixel aumenta e a razão entre área fotossensível e a área total do pixel diminui, reduzindo a qualidade da imagem. Para utilizar as vantagens do processamento no plano focal e minimizar a redução da qualidade da imagem, a primeira parte da tese propõe a inclusão de dois transistores no pixel, o que permite que o espaço de escalas da imagem capturada seja gerado. Nós então avaliamos em quais condições o circuito proposto é vantajoso. Nós analisamos o tempo de processamento e o consumo de energia dessa proposta em comparação com uma solução digital. Utilizando um conversor de aproximações sucessivas com frequência de 5.6 MHz, a análise proposta mostra que a abordagem no plano focal é 26 vezes mais rápida que o circuito digital com 10 elementos de processamento, e consome 49 vezes menos energia. Outra maneira de utilizar processamento no plano focal consiste em aplicá-lo para melhorar a qualidade da imagem, como na captura de imagens em alta faixa dinâmica. Esta tese também apresenta o estudo e projeto de um pixel que realiza a captura de imagens em alta faixa dinâmica através do ajuste do tempo de integração de cada pixel utilizando a iluminação média e o valor do próprio pixel. Esse pixel foi projetado considerando pequenas variações estruturais, como diferentes tamanhos do fotodiodo que realiza a captura do valor de iluminação médio. Simulações de esquemático e pós-layout foram realizadas com o pixel projetado utilizando uma imagem com faixa dinâmica de 76 dB, apresentando resultados com detalhes tanto na parte clara como na parte escura da imagem

A 0.0022 mm² 10 bit 20 MS/s SAR ADC with Passive Single-Ended-to-Differential-Converter

This paper proposes a passive switched-capacitor single-ended-to-differential-converter (SDC) as a front-end of a differential SAR ADC, such that it can convert single-ended input signals. As the SDC is passive, the overall solution is power-efficient compared to active SDC solutions, and is especially suitable for lower/medium resolutions. As opposed to active SDC solutions with a static bias current, the proposed switched-capacitor network only consumes dynamic power, such that its consumption scales linearly with the sampling frequency. This paper discusses the basic concept of the proposed scheme, and analyzes the impact of noise and other imperfections, describes the trade-offs for power and area, and discusses the consequences for the input driver. A prototype implementation in 65nm CMOS achieves a figure-of-merit of 6.1fJ/conversion-step at 20MS/s, while reaching an SNDR of 54.7dB up to Nyquist and occupying a chip area of only 60μ m times 36μ m.</p