A very low power and low signal 5 bit 50 M samples/s double sampling pipelined ADC for Monolithic Active Pixel Sensors in high energy physics and biomedical imaging applications

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Modeling and Implementation of A 6-Bit, 50MHz Pipelined ADC in CMOS

The pipelined ADC is a popular Nyquist-rate data converter due to its attractive feature of maintaining high accuracy at high conversion rate with low complexity and power consumption. The rapid growth of its application such as mobile system, digital video and high speed data acquisition is driving the pipelined ADC design towards higher speed, higher precision with lower supply voltage and power consumption. This thesis project aims at modeling and implementation of a pipelined ADC with high speed and low power consumption

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

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

Carbon footprint of 3D-printed bone tissue engineering scaffolds: an life cycle assessment study

The bone tissue engineering scaffolds is one of the methods for repairing bone defects caused by various factors. According to modern tissue engineering technology, three-dimensional (3D) printing technology for bone tissue engineering provides a temporary basis for the creation of biological replacements. Through the generated 3D bone tissue engineering scaffolds from previous studies, the assessment to evaluate the environmental impact has shown less attention in research. Therefore, this paper is aimed to propose the Model of life cycle assessment (LCA) for 3D bone tissue engineering scaffolds of 3D gel-printing technology and presented the analysis technique of LCA from cradle-to-gate for assessing the environmental impacts of carbon footprint. Acrylamide (C3H5NO), citric acid (C6H8O7), N,N-Dimethylaminopropyl acrylamide (C8H16N2O), deionized water (H2O), and 2-Hydroxyethyl acrylate (C5H8O3) was selected as the material resources. Meanwhile, the 3D gel-printing technology was used as the manufacturing processes in the system boundary. The analysis is based on the LCA Model through the application of GaBi software. The environmental impact was assessed in the 3D gel-printing technology and it was obtained that the system shows the environmental impact of global warming potential (GWP). All of the emissions contributed to GWP have been identified such as emissions to air, freshwater, seawater, and industrial soil. The aggregation of GWP result in the stage of manufacturing process for input and output data contributed 47.6% and 32.5% respectively. Hence, the data analysis of the results is expected to use for improving the performance at the material and manufacturing process of the product life cycle

Low power VCO-based analog-to-digital conversion

textThis dissertation presents novel two stage ADC architecture with a VCO based second stage. With the scaling of the supply voltages in modern CMOS process it is difficult to design high gain operational amplifiers needed for traditional voltage domain two-stage analog to digital converters. However time resolution continues to improve with the advancement in CMOS technology making VCO-based ADC more attractive. The nonlinearity in voltage-to-frequency transfer function is the biggest challenge in design of VCO based ADC. The hybrid approach used in this work uses a voltage domain first stage to determine the most significant bits and uses a VCO based second stage to quantize the small residue obtained from first stage. The architecture relaxes the gain requirement on the the first stage opamp and also relaxes the linearity requirements on the second stage VCO. The prototype ADC built in 65nm CMOS process achieves 63.7dB SNDR in 10MHz bandwidth while only consuming 1.1mW of power. The performance of the prototype chip is comparable to the state-of-art in terms of figure-of-merit but this new architecture uses significantly less circuit area.Electrical and Computer Engineerin

A low power and low signal 5-bit 25MS/s pipelined ADC for monolithic active pixel sensors

For CMOS monolithic active pixels sensor readout, we developed a 5 bit low power analog to digital converter using a pipelined architecture. A non-resetting sample and hold stage is included to amplify the signal by a factor of 4. Due to the very low level of the incoming signal, this first stage compensates both the amplifier offset effect and the input common mode voltage dispersion. The converter consists of three 1.5 bit sub-ADC and a 2 bit flash. We present the results of a prototype, made of eight ADC channels. The maximum sampling rate is 25MS/s. The total DC power consumption is 1.7mW/channel on a 3.3V supply voltage recommended for the process. But at a reduced 2.5V supply, it consumes only 1.3mW. The size of each ADC channel layout is only 43μm*1.43mm. This corresponds to the pitch of two pixel columns each one would be 20μm wide. The full analog part of the converter can be quickly switched to a standby idle mode in less than 1μs; thus reducing the power dissipation to a ratio better than 1/1000. This fast shutdown is very important for the ILC vertex detector as the total DC power dissipation becomes directly proportional to the low beam duty cycle

Equalization-Based Digital Background Calibration Technique for Pipelined ADCs

In this paper, we present a digital background calibration technique for pipelined analog-to-digital converters (ADCs). In this scheme, the capacitor mismatch, residue gain error, and amplifier nonlinearity are measured and then corrected in digital domain. It is based on the error estimation with nonprecision calibration signals in foreground mode, and an adaptive linear prediction structure is used to convert the foreground scheme to the background one. The proposed foreground technique utilizes the LMS algorithm to estimate the error coefficients without needing high-accuracy calibration signals. Several simulation results in the context of a 12-b 100-MS/s pipelined ADC are provided to verify the usefulness of the proposed calibration technique. Circuit-level simulation results show that the ADC achieves 28-dB signal-to-noise and distortion ratio and 41-dB spurious-free dynamic range improvement, respectively, compared with the noncalibrated ADC

Design and Analysis of a Low-Power 8-Bit 500 KS/S SAR ADC for Bio-Medical Implant Devices

This thesis project involves the design and analysis of an 8-bit Successive Approximation Register (SAR) Analog to Digital Convertor (ADC), designed for low- power applications such as bio-medical implants. The sampling rate for this ADC is 500 KS/s. The power consumption for the whole SAR ADC system was measured to be 2.1 uW. The novelty of this project is the proposal of an extremely energy efficient comparator architecture. The result is the design of a final ADC with reasonable sampling speed, accuracy and low power consumption. In this project, all the different subsystems have been designed at the transistor level with 45 nm CMOS technology. The logical circuit was designed using Verilog language. It was then synthesized and integrated in the overall system