694 research outputs found
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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
Transistor-Level Synthesis of Pipeline Analog-to-Digital Converters Using a Design-Space Reduction Algorithm
A novel transistor-level synthesis procedure for pipeline ADCs is presented. This procedure is able to directly map high-level converter specifications onto transistor sizes and biasing conditions. It is based on the combination of behavioral models for performance evaluation, optimization routines to minimize the power and area consumption of the circuit solution, and an algorithm to efficiently constraint the converter design space. This algorithm precludes the cost of lengthy bottom-up verifications and speeds up the synthesis task. The approach is herein demonstrated via the design of a 0.13 μm CMOS 10 bits@60 MS/s pipeline ADC with energy consumption per conversion of only 0.54 pJ@1 MHz, making it one of the most energy-efficient 10-bit video-rate pipeline ADCs reported to date. The computational cost of this design is of only 25 min of CPU time, and includes the evaluation of 13 different pipeline architectures potentially feasible for the targeted specifications. The optimum design derived from the synthesis procedure has been fine tuned to support PVT variations, laid out together with other auxiliary blocks, and fabricated. The experimental results show a power consumption of 23 [email protected] V and an effective resolution of 9.47-bit@1 MHz. Bearing in mind that no specific power reduction strategy has been applied; the mentioned results confirm the reliability of the proposed approach.Ministerio de Ciencia e Innovación TEC2009-08447Junta de Andalucía TIC-0281
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
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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
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
Pipelined analog-to-digital conversion using current-mode reference shifting
Dissertação para obtenção do grau de Mestre em
Engenharia Electrotécnica e de ComputadoresPipeline Analog-to-digital converters (ADCs) are the most popular architecture for high-speed medium-to-high resolution applications. A fundamental, but often unreferenced building block of pipeline ADCs are the reference voltage circuits. They are required to maintain a stable reference with low output impedance to drive large internal switched capacitor loads quickly. Achieving this usually leads to a scheme that consumes a large portion of the overall power and area. A review of the literature shows that the required stable reference can be achieved with either on-chip buffering or with large off-chip decoupling capacitors. On-chip buffering is ideal for system integration but requires a high speed buffer with high power dissipation. The use of a reference with off-chip decoupling results in significant power savings but increases the pads of chip, the count of external components and the overall system cost. Moreover the amount of ringing on the internal reference voltage caused by the series inductance of the package makes this solution not viable for high speed ADCs.
To address this challenge, a pipeline ADC employing a multiplying digital-to-analog converter (MDAC) with current-mode reference shifting is presented. Consequently, no reference voltages and, therefore, no voltage buffers are necessary. The bias currents are generated on-chip by a reference current generator that dissipates low power.
The proposed ADC is designed in a 65 nm CMOS technology and operates at sampling rates ranging from 10 to 80 MS/s. At 40 MS/s the ADC dissipates 10.8 mW from a 1.2 V power supply and achieves an SNDR of 57.2 dB and a THD of -68 dB, corresponding to an ENOB of 9.2 bit. The corresponding figure of merit is 460 fJ/step
High-speed Low-voltage CMOS Flash Analog-to-Digital Converter for Wideband Communication System-on-a-Chip
With higher-level integration driven by increasingly complex digital systems and downscaling CMOS processes available, system-on-a-chip (SoC) is an emerging technology of low power, high cost effectiveness and high reliability and is exceedingly attractive for applications in high-speed data conversion wireless and wideband communication systems. This research presents a novel ADC comparator design methodology; the speed and performance of which is not restricted by the supply voltage reduction and device linearity deterioration in scaling-down CMOS processes. By developing a dynamic offset suppression technique and a circuit optimization method, the comparator can achieve a 3 dB frequency of 2 GHz in 130 nanometer (nm) CMOS process. Combining this new comparator design and a proposed pipelined thermometer-Gray- binary encoder designed by the DCVSPG logic, a high-speed, low-voltage clocked-digital- comparator (CDC) pipelined CMOS flash ADC architecture is proposed for wideband communication SoC. This architecture has advantages of small silicon area, low power, and low cost. Three CDC-based pipelined CMOS flash ADCs were implemented in 130 nm CMOS process and their experimental results are reported: 1. 4-b, 2.5-GSPS ADC: SFDR of 21.48-dB, SNDR of 15.99-dB, ENOB of 2.4-b, ERBW of 1-GHz, power of 7.9-mW, and area of 0.022-mm2. 2. 4-b, 4-GSPS ADC: SFDR of 25-dB, SNDR of 18.6-dB, ENOB of 2.8-b, ERBW of 2-GHz, power of 11-mW. 3. 6-b, 4-GSPS ADC: SFDR of 48-dB at a signal frequency of 11.72-MHz, SNDR of 34.43-dB, ENOB of 5.4-b, power of 28-mW. An application of the proposed CDC-based pipelined CMOS flash ADC is 1-GHz bandwidth, 2.5-GSPS digital receiver on a chip. To verify the performance of the receiver, a mixed-signal block-level simulation and verification flow was built in Cadence AMS integrated platform. The verification results of the digital receiver using a 4-b 2.5-GSPS CDC-based pipelined CMOS ADC, a 256-point, 12-point kernel function FFT and a frequency detection logic show that two tone signals up to 1125 MHz can be detected and discriminated. A notable contribution of this research is that the proposed ADC architecture and the comparator design with dynamic offset suppression and optimization are extremely suitable for future VDSM CMOS processes and make all-digital receiver SoC design practical
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