Academic literature on the topic 'Successive approximation register converters'

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Journal articles on the topic "Successive approximation register converters"

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Rossi, A., and G. Fucili. "Nonredundant successive approximation register for A/D converters." Electronics Letters 32, no. 12 (1996): 1055. http://dx.doi.org/10.1049/el:19961113.

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Park, Himchan, Qiwei Huang, Changzhi Yu, Seulki Kim, Gilcho Ahn, and Jinwook Burm. "Two CMOS time to digital converters using successive approximation register logic." IEICE Electronics Express 15, no. 22 (2018): 20180840. http://dx.doi.org/10.1587/elex.15.20180840.

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Chiang, Shiuh‐hua Wood. "Charge‐dumping switching scheme for successive‐approximation‐register analogue‐to‐digital converters." Electronics Letters 52, no. 5 (March 2016): 348–50. http://dx.doi.org/10.1049/el.2015.3664.

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Kumar, Manoj, and Raj Kumar. "A Ultra Low Power 12 Bit Successive Approximation Register for Bio-Medical Applications." International Journal of Engineering & Technology 7, no. 3.16 (July 26, 2018): 98. http://dx.doi.org/10.14419/ijet.v7i3.4.16192.

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Successive Approximation Register (SAR) analog to digital Converters (ADC) is favorable choice for the high resolution. As resolution of ADC increases, the no. of redundant cycles increases which increases power. So the Paper presents clock gated ADC with no redundant cycles/transition cycles for low power requirement and comparison between without Clock Gating and Clock Gated SAR. Using Simulation, Power consumption for Clock gated SAR 736.1nW at 1.8V power supply where as without Clock Gating SAR consumption is 54µW at 1.8 power supply.
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Zhu, Donglin, Maliang Liu, and Zhangming Zhu. "A High Energy Efficiency and Low Common-Mode Voltage Variation Switching Scheme for SAR ADCs." Journal of Circuits, Systems and Computers 27, no. 01 (August 23, 2017): 1850010. http://dx.doi.org/10.1142/s021812661850010x.

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In this paper, a high energy saving digital-to-analog converter (DAC) switching scheme with common-mode voltage variation in 1LSB is proposed for successive approximation register (SAR) analog-to-digital converters (ADCs). Based on the third reference ([Formula: see text]), split-capacitor technique and complementary switching method, the proposed switching scheme achieves a 99.6% switching energy reduction and a 75% area reduction compared to the conventional architecture, furthermore, the common-mode voltage varies only 1LSB during a conversion cycle.
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Malandruccolo, Vezio, Mauro Ciappa, Hubert Rothleitner, M. Hommel, and Wolfgang Fichtner. "A new built-in screening methodology for Successive Approximation Register Analog to Digital Converters." Microelectronics Reliability 50, no. 9-11 (September 2010): 1750–57. http://dx.doi.org/10.1016/j.microrel.2010.07.096.

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Lin, Chih-Hsuan, and Kuei-Ann Wen. "An Innovative Successive Approximation Register Analog-to-Digital Converter for a Nine-Axis Sensing System." Journal of Low Power Electronics and Applications 11, no. 1 (January 9, 2021): 3. http://dx.doi.org/10.3390/jlpea11010003.

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With nine-axis sensing systems in 5G smartphones, mobile power consumption has become increasingly important, and ultra-low-power (ULP) sensor circuits can decrease power consumption to tens of microwatts. This paper presents an innovative successive approximation register analog-to-digital converter, which comprises fine (three most significant bits (MSBs) plus course conversion (11 least significant bits (LSBs)) capacitive digital-to-analog converters (CDACs), ULP, four-mode reconfigurable resolution (9, 10, 11, or 12 bits), an internally generated clock, meta-detection, the switching base midpoint voltage (Vm) (SW-B-M), bit control logic, multi-phase control logic, fine (three MSBs) plus course conversion (11 LSBs) switch control logic, phase control logic, and an input signal plus negative voltage (VI + NEG) voltage generator. Then, the mechanism of the discrete Fourier transform (DFT)-based calibration is applied. The scalable voltage technique was used, and the analog/digital voltage was Vanalog (1.5 V) and Vdigital (0.9 V) to meet the specifications of the nine-axis ULP sensing system. The CDACs can reconfigure four-mode resolutions, 9–12 bits, for use in nine-axis sensor applications. The corresponding dynamic signal-to-noise and distortion ratio performance was 50.78, 58.53, 62.42, and 66.51 dB. In the 12-bit mode, the power consumption of the ADC was approximately 2.7 μW, and the corresponding figure of merit (FoM) was approximately 30.5 fJ for each conversion step.
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Lin, Chih-Hsuan, and Kuei-Ann Wen. "An Innovative Successive Approximation Register Analog-to-Digital Converter for a Nine-Axis Sensing System." Journal of Low Power Electronics and Applications 11, no. 1 (January 9, 2021): 3. http://dx.doi.org/10.3390/jlpea11010003.

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With nine-axis sensing systems in 5G smartphones, mobile power consumption has become increasingly important, and ultra-low-power (ULP) sensor circuits can decrease power consumption to tens of microwatts. This paper presents an innovative successive approximation register analog-to-digital converter, which comprises fine (three most significant bits (MSBs) plus course conversion (11 least significant bits (LSBs)) capacitive digital-to-analog converters (CDACs), ULP, four-mode reconfigurable resolution (9, 10, 11, or 12 bits), an internally generated clock, meta-detection, the switching base midpoint voltage (Vm) (SW-B-M), bit control logic, multi-phase control logic, fine (three MSBs) plus course conversion (11 LSBs) switch control logic, phase control logic, and an input signal plus negative voltage (VI + NEG) voltage generator. Then, the mechanism of the discrete Fourier transform (DFT)-based calibration is applied. The scalable voltage technique was used, and the analog/digital voltage was Vanalog (1.5 V) and Vdigital (0.9 V) to meet the specifications of the nine-axis ULP sensing system. The CDACs can reconfigure four-mode resolutions, 9–12 bits, for use in nine-axis sensor applications. The corresponding dynamic signal-to-noise and distortion ratio performance was 50.78, 58.53, 62.42, and 66.51 dB. In the 12-bit mode, the power consumption of the ADC was approximately 2.7 μW, and the corresponding figure of merit (FoM) was approximately 30.5 fJ for each conversion step.
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Wang, Hao, Lungui Zhong, and Guocheng Zhang. "Low-Power Capacitor-Splitting DAC with Mixed Switching Schemes for SAR ADCs." Journal of Circuits, Systems and Computers 27, no. 10 (May 24, 2018): 1850161. http://dx.doi.org/10.1142/s021812661850161x.

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A low-power capacitor-splitting digital-to-analogue converter (DAC) for successive approximation register (SAR) analogue-to-digital converters (ADCs) is proposed. During the first three bit cycles, with proper switching, there is no average switching power consumption. From the fourth bit cycle, one-side double-level switching scheme or the monotonic one is utilized based on the first two bits. When the first two bits are the same, one-side double-level switching scheme is chosen. Otherwise, the monotonic one is adopted. Thus, the proposed switching method only requires 5.27 CV[Formula: see text] average switching energy, 75.29% less compared to the Sanyal and Sun proposed one.
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Sun, Lei, Kong-Pang Pun, and Wai-Tung Ng. "Capacitive digital-to-analogue converters with least significant bit down in differential successive approximation register ADCs." Journal of Engineering 2014, no. 1 (January 1, 2014): 45–48. http://dx.doi.org/10.1049/joe.2013.0219.

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Dissertations / Theses on the topic "Successive approximation register converters"

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Mahsereci, Yigit Uygar. "A Successive Approximation Register Analog-to-digital Converter For Low Cost Microbolometers." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614031/index.pdf.

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Commercialization of infrared (IR) vision is of vital importance for many applications, such as automobile and health care. The main obstacle in front of the further spread of this technology is the high price. The cost reduction is achieved by placing on-chip electronics and diminishing the camera size, where one of the important components is the analog-to-digital converter (ADC). This thesis reports the design of a successive approximation register (SAR) ADC for low-cost microbolometers and its test electronics. Imaging ADCs are optimized only for the specific application in order to achieve the lowest power, yet the highest performance. The successive approximation architecture is chosen, due to its low-power, small-area nature, high resolution potential, and the achievable speed, as the ADC needs to support a 160x120 imager at a frame rate of 25 frames/sec (fps). The resolution of the ADC is 14 bit at a sampling rate of 700 Ksample/sec (Ksps). The noise level is at the order of 1.3 LSBs. The true resolution of the ADC is set to be higher than the need of the current low-cost microbolometers, so that it is not the limiting factor for the overall noise specifications. The design is made using a 0.18µ
m CMOS process, for easy porting of design to the next generation low-cost microbolometers. An optional dual buffer approach is used for improved linearity, a modified, resistive digital-to-analog converter (DAC) is used for enhanced digital correction, and a highly configurable digital controller is designed for on-silicon modification of the device. Also, a secondary 16-bit high performance ADC with the same topology is designed in this thesis. The target of the high resolution ADC is low speed sensors, such as temperature sensors or very small array sizes of infrared sensors. Both of the SAR ADCs are designed without switched capacitor circuits, the operation speed can be minimized as low as DC if an extremely low power operation is required. A compact test setup is designed and implemented for the ADC. It consists of a custom designed proximity card, an FPGA card, and a PC. The proximity card is designed for high resolution ADC testing and includes all analog utilities such as voltage references, voltage regulators, digital buffers, high resolution DACs for reference generation, voltage buffers, and a very high resolution &Delta
-&Sigma
DAC for input voltage generation. The proximity card is fabricated and supports automated tests, because many components surrounding the ADC are digitally controllable. The FPGA card is selected as a commercially available card with USB control. The full chip functionalities and performances of both ADCs are simulated. The complete layouts of both versions are finished and submitted to the foundry. The ADC prototypes consist of more than 7500 transistors including the digital circuitry. The power dissipation of the 16-bit ADC is around 10mW, where the 14-bit device consumes 30mW. Each of the dies is 1mm x 5mm, whereas the active circuits occupy around 0.5mm x 1.5mm silicon area. These chips are the first steps in METU for the realization of the digital-in digital-out low cost microbolometers and low cost sensors.
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Sekar, Ramgopal. "LOW-POWER TECHNIQUES FOR SUCCESSIVE APPROXIMATION REGISTER (SAR) ANALOG-TO-DIGITAL CONVERTERS." OpenSIUC, 2010. https://opensiuc.lib.siu.edu/theses/350.

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In this work, we investigate circuit techniques to reduce the power consumption of Successive Approximation Register Analog-to-Digital Converter (SAR-ADC). We developed four low-power SAR-ADC design techniques, which are: 1) Low-power SAR-ADC design with split voltage reference, 2) Charge recycling techniques for low-power SAR-ADC design, 3) Low-power SAR-ADC design using two-capacitor arrays, 4) Power reduction techniques by dynamically minimizing SAR-ADC conversion cycles. Matlab simulations are performed to investigate the power saving by the proposed techniques. Simulation results show that significant power reduction can be achieved by using the developed techniques. In addition, design issues such as area overhead, design complexity associated with the proposed low-power techniques are also discussed in the thesis.
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Swindlehurst, Eric Lee. "High-Speed and Low-Power Techniques for Successive-Approximation-Register Analog-to-Digital Converters." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8923.

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Broadband wireless communication systems demand power-efficient analog-to-digital converters (ADCs) in the GHz and medium resolution regime. While high-speed architectures such as the flash and pipelined ADCs are capable of GHz operations, their high-power consumption reduces their attractiveness for mobile applications. On the other hand, the successive-approximation-register (SAR) ADC has an excellent power efficiency, but its slow speed has traditionally limited it to MHz applications. This dissertation puts forth several novel techniques to significantly increase the speed and power efficiency of the SAR architecture and demonstrates them in a low-power 10-GHz SAR ADC suitable for broadband wireless communications. The proposed 8-bit, 10-GHz, 8× time-interleaved SAR ADC utilizes a constant-matching DAC with symmetrically grouped unit finger capacitors to maximize speed by reducing the total DAC capacitance to 32 fF and minimizing the bottom plate parasitic capacitance. The capacitance reduction also saves power as both the DAC size and the driving logic size are reduced. An optimized asynchronous comparator loop and smaller driver logic push the single channel speed of the SAR ADC to 1.25 GHz, thus minimizing the total number of timeinterleaved channels to 8 to reach 10 GHz. A dual-path bootstrapped switch improves the spurious-free dynamic range (SFDR) of the sampling by creating an auxiliary path to drive the non-linear N-well capacitance apart from the main signal path. Using these techniques, the ADC achieves a measured signal-to-noise-and-distortion ratio (SNDR) and SFDR of 36.9 dB and 59 dB, respectively with a Nyquist input while consuming 21 mW of power. The ADC demonstrates a record-breaking figure-of-merit of 37 fJ/conv.-step, which is more than 2× better than the next best published design, among reported ADCs of similar speeds and resolutions.
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David, Christopher Leonidas. "All Digital, Background Calibration for Time-Interleaved and Successive Approximation Register Analog-to-Digital Converters." Digital WPI, 2010. https://digitalcommons.wpi.edu/etd-dissertations/194.

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The growth of digital systems underscores the need to convert analog information to the digital domain at high speeds and with great accuracy. Analog-to-Digital Converter (ADC) calibration is often a limiting factor, requiring longer calibration times to achieve higher accuracy. The goal of this dissertation is to perform a fully digital background calibration using an arbitrary input signal for A/D converters. The work presented here adapts the cyclic "Split-ADC" calibration method to the time interleaved (TI) and successive approximation register (SAR) architectures. The TI architecture has three types of linear mismatch errors: offset, gain and aperture time delay. By correcting all three mismatch errors in the digital domain, each converter is capable of operating at the fastest speed allowed by the process technology. The total number of correction parameters required for calibration is dependent on the interleaving ratio, M. To adapt the "Split-ADC" method to a TI system, 2M+1 half-sized converters are required to estimate 3(2M+1) correction parameters. This thesis presents a 4:1 "Split-TI" converter that achieves full convergence in less than 400,000 samples. The SAR architecture employs a binary weight capacitor array to convert analog inputs into digital output codes. Mismatch in the capacitor weights results in non-linear distortion error. By adding redundant bits and dividing the array into individual unit capacitors, the "Split-SAR" method can estimate the mismatch and correct the digital output code. The results from this work show a reduction in the non-linear distortion with the ability to converge in less than 750,000 samples.
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Ganguli, Ameya Vivekanand. "Cmos Design of an 8-bit 1MS/s Successive Approximation Register ADC." DigitalCommons@CalPoly, 2019. https://digitalcommons.calpoly.edu/theses/2074.

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Rapid evolution of integrated circuit technologies has paved a way to develop smaller and energy efficient biomedical devices which has put stringent requirements on data acquisition systems. These implantable devices are compact and have a very small footprint. Once implanted these devices need to rely on non-rechargeable batteries to sustain a life span of up to 10 years. Analog-to-digital converters (ADCs) are key components in these power limited systems. Therefore, development of ADCs with medium resolution (8-10 bits) and sampling rate (1 MHz) have been of great importance. This thesis presents an 8-bit successive approximation register (SAR) ADC incorporating an asynchronous control logic to avoid external high frequency clock, a dynamic comparator to improve linearity and a differential charger-distribution DAC with a monotonic capacitor switching procedure to achieve better power efficiency. This ADC is developed on a 0.18um TSMC process using Cadence Integrated Circuit design tools. At a sampling rate of 1MS/s and a supply voltage of 1.8V, this 8-bit SAR ADC achieves an effective number of bits (ENOB) of 7.39 and consumes 227.3uW of power, resulting in an energy efficient figure of merit (FOM) of 0.338pJ/conversion-step. Measured results show that the proposed SAR ADC achieves a spurious-free dynamic range (SFDR) of 57.40dB and a signal-to-noise and distortion ratio (SNDR) of 46.27dB. Including pad-ring measured chip area is 0.335sq-mm with the ADC core taking up only 0.055sq-mm
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Brenneman, Cody R. "Circuit Design for Realization of a 16 bit 1MS/s Successive Approximation Register Analog-to-Digital Converter." Digital WPI, 2010. https://digitalcommons.wpi.edu/etd-theses/423.

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As the use of digital systems continues to grow, there is an increasing need to convert analog information into the digital domain. Successive Approximation Register (SAR) analog-to-digital converters are used extensively in this regard due to their high resolution, small die area, and moderate conversion speeds. However, capacitor mismatch within the SAR converter is a limiting factor in its accuracy and resolution. Without some form of calibration, a SAR converter can only reasonably achieve an accuracy of 10 bits. The Split-ADC technique is a digital, deterministic, background self-calibration algorithm that can be applied to the SAR converter. This thesis describes the circuit design and physical implementation of a novel 16-bit 1MS/s SAR analog-to-digital converter for use with the Split-ADC calibration algorithm. The system was designed using the Jazz 0.18um CMOS process, successfully operates at 1MS/s, and consumes a die area of 1.2mm2. The calibration algorithm was applied, showing an improvement in the overall accuracy of the converter.
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Zhang, Dai. "Design of Ultra-Low-Power Analog-to-Digital Converters." Licentiate thesis, Linköpings universitet, Elektroniska komponenter, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-79276.

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Power consumption is one of the main design constraints in today’s integrated circuits. For systems powered by small non-rechargeable batteries over their entire lifetime, such as medical implant devices, ultra-low power consumption is paramount. In these systems, analog-to-digital converters (ADCs) are key components as the interface between the analog world and the digital domain. This thesis addresses the design challenges, strategies, as well as circuit techniques of ultra-low-power ADCs for medical implant devices. Medical implant devices, such as pacemakers and cardiac defibrillators, typically requirelow-speed, medium-resolution ADCs. The successive approximation register (SAR) ADC exhibits significantly high energy efficiency compared to other prevalent ADC architectures due to its good tradeoffs among power consumption, conversion accuracy, and design complexity. To design an energy-efficient SAR ADC, an understanding of its error sources as well as its power consumption bounds is essential. This thesis analyzes the power consumption bounds of SAR ADC: 1) at low resolution, the power consumption is bounded by digital switching power; 2) at medium-to-high resolution, the power consumption is bounded by thermal noise if digital assisted techniques are used to alleviate mismatch issues; otherwise it is bounded by capacitor mismatch.  Conversion of the low frequency bioelectric signals does not require high speed, but ultra-low-power operation. This combined with the required conversion accuracy makes the design of such ADCs a major challenge. It is not straightforward to effectively reduce the unnecessary speed for lower power consumption using inherently fast components in advanced CMOS technologies. Moreover, the leakage current degrades the sampling accuracy during the long conversion time, and the leakage power consumption contributes to a significant portion of the total power consumption. Two SAR ADCs have been implemented in this thesis. The first ADC, implemented in a 0.13-µm CMOS process, achieves 9.1 ENOB with 53-nW power consumption at 1 kS/s. The second ADC, implemented in a 65-nm CMOS process, achieves the same resolution at 1 kS/s with a substantial (94%) improvement in power consumption, resulting in 3-nW total power consumption. Our work demonstrates that the ultra-low-power operation necessitates maximum simplicity in the ADC architecture.
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Lanot, Alisson Jamie Cruz. "Estudo de falhas transientes e técnicas de tolerância a falhas em conversores de dados do tipo SAR baseados em redistribuição de carga." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2014. http://hdl.handle.net/10183/114478.

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Conversores A/D do tipo aproximações sucessivas (SAR) baseados em redistribuição de carga são frequentemente utilizados em aplicações envolvendo a aquisição de sinais, principalmente as que exigem um baixo consumo de área e energia e boa velocidade de conversão. Esta topologia está presente em diversos dispositivos programáveis comerciais, como também em circuitos integrados de propósito geral. Tais dispositivos, quando expostos a ambientes suscetíveis a radiação, como é o caso de aplicações espaciais, estão sujeitos à colisão com partículas capazes de ionizar o silício. Estes podem causar falhas temporárias, como um efeito transiente, uma inversão de bit em um elemento de memória, ou até mesmo danos permanentes no circuito. Este trabalho visa descrever o comportamento do conversor SAR baseado em redistribuição de carga após a ocorrência de efeitos transientes causados por radiação, por meio de simulação SPICE. Tais efeitos podem causar falhas nos componentes da topologia: chaves, lógica de controle e comparador. Estes são propagados por todo o estágio de conversão, devido à sua característica sequencial de conversão. Por fim, uma discussão sobre as possíveis técnicas de mitigação de falhas para esta topologia é apresentada.
Successive Approximation Register (SAR) Analog to Digital Converters (ADCs) based on charge redistribution are frequently used in data acquisition systems, especially those requiring low power and low area, and good conversion speed. This topology is present on several mixed-signal programmable devices. These devices, when exposed to harsh environments, such as radiation, which is the case for space applications, are prone to Single Event Effects (SEEs). These effects may cause temporary failures, such as transient effects or memory upsets or even permanent failures on the circuit. This work presents the behavior of this type of converter after the occurrence of a transient fault on the circuit, by means of SPICE simulations. These transient faults may cause an inversion on the conversion due to a transient on the control logic of the switches, or a charge or discharge of the capacitors when a transient occur on the switches, as well as a failure on the comparator, which may propagate to the remainder stages of conversion, due to the sequential nature of the converter. A discussion about the possible fault mitigation techniques is also presented.
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Zeloufi, Mohamed. "Développement d’un convertisseur analogique-numérique innovant dans le cadre des projets d’amélioration des systèmes d’acquisition de l’expérience ATLAS au LHC." Thesis, Université Grenoble Alpes (ComUE), 2016. http://www.theses.fr/2016GREAT115.

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À l’horizon 2024, l’expérience ATLAS prévoit de fonctionner à des luminosités 10 fois supérieures à la configuration actuelle. Par conséquent, l’électronique actuelle de lecture ne correspondra pas aux conditions de ces luminosités. Dans ces conditions, une nouvelle électronique devra être conçue. Cette mise à niveau est rendue nécessaire aussi par les dommages causés par les radiations et le vieillissement. Une nouvelle carte frontale va être intégrée dans l’électronique de lecture du calorimètre LAr. Un élément essentiel de cette carte est le Convertisseur Analogique-Numérique (CAN) présentant une résolution de 12bits pour une fréquence d’échantillonnage de 40MS/s, ainsi qu’une résistance aux irradiations. Compte tenu du grand nombre des voies, ce CAN doit remplir des critères sévères sur la consommation et la surface. Le but de cette thèse est de concevoir un CAN innovant qui peut répondre à ces spécifications. Une architecture à approximations successives (SAR) a été choisie pour concevoir notre CAN. Cette architecture bénéficie d’une basse consommation de puissance et d’une grande compatibilité avec les nouvelles technologies CMOS. Cependant, le SAR souffre de certaines limitations liées principalement aux erreurs de décisions et aux erreurs d’appariement des capacités du CNA. Deux prototypes de CAN-SAR 12bits ont été modélisés en Matlab afin d’évaluer leur robustesse. Ensuite les conceptions ont été réalisées dans une technologie CMOS 130nm d’IBM validée par la collaboration ATLAS pour sa tenue aux irradiations. Les deux prototypes intègrent un algorithme d’approximations avec redondance en 14 étapes de conversion, qui permet de tolérer des marges d’erreurs de décisions et d’ajouter une calibration numérique des effets des erreurs d’appariement des capacités. La partie logique de nos CAN est très simplifiée pour minimiser les retards de génération des commandes et la consommation d’énergie. Cette logique exécute un algorithme monotone de commutation des capacités du CNA permettant une économie de 70% de la consommation dynamique par rapport à un algorithme de commutation classique. Grâce à cet algorithme, une réduction de capacité totale est aussi obtenue : 50% en comparant notre premier prototype à un seul segment avec une architecture classique. Pour accentuer encore plus le gain en termes de surface et de consommation, un second prototype a été réalisé en introduisant un CNA à deux segments. Cela a abouti à un gain supplémentaire d’un facteur 7,64 sur la surface occupée, un facteur de 12 en termes de capacité totale, et un facteur de 1,58 en termes de consommation. Les deux CAN consomment respectivement une puissance de ~10,3mW et ~6,5mW, et ils occupent respectivement une surface de ~2,63mm2 et ~0,344mm2.Afin d’améliorer leurs performances, un algorithme de correction numérique des erreurs d’appariement des capacités a été utilisé. Des buffers de tensions de référence ont étés conçus spécialement pour permettre la charge/décharge des capacités du convertisseur en hautes fréquences et avec une grande précision. En simulations électriques, les deux prototypes atteignent un ENOB supérieur à 11bits tout en fonctionnant à la vitesse de 40MS/s. Leurs erreurs d’INL simulés sont respectivement +1,14/-1,1LSB et +1,66/-1,72LSB.Les résultats de tests préliminaires du premier prototype présentent des performances similaires à celles d’un CAN commercial de référence sur notre carte de tests. Après la correction, ce prototype atteint un ENOB de 10,5bits et un INL de +1/-2,18LSB. Cependant suite à une panne de carte de tests, les résultats de mesures du deuxième prototype sont moins précis. Dans ces circonstances, ce dernier atteint un ENOB de 9,77bits et un INL de +7,61/-1,26LSB. En outre la carte de tests actuelle limite la vitesse de fonctionnement à ~9MS/s. Pour cela une autre carte améliorée a été conçue afin d’atteindre un meilleur ENOB, et la vitesse souhaitée. Les nouvelles mesures vont être publiées dans le futur
By 2024, the ATLAS experiment plan to operate at luminosities 10 times the current configuration. Therefore, many readout electronics must be upgraded. This upgrade is rendered necessary also by the damage caused by years of total radiations’ effect and devices aging. A new Front-End Board (FEB) will be designed for the LAr calorimeter readout electronics. A key device of this board is a radiation hard Analog-to-Digital Converter (ADC) featuring a resolution of 12bits at 40MS/s sampling rate. Following the large number of readout channels, this ADC device must display low power consumption and also a low area to easy a multichannel design.The goal of this thesis is to design an innovative ADC that can deal with these specifications. A Successive Approximation architecture (SAR) has been selected to design our ADC. This architecture has a low power consumption and many recent works has shown his high compatibility with modern CMOS scaling technologies. However, the SAR has some limitations related to decision errors and mismatches in capacitors array.Using Matlab software, we have created the models for two prototypes of 12bits SAR-ADC which are then used to study carefully their limitations, to evaluate their robustness and how it could be improved in digital domain.Then the designs were made in an IBM 130nm CMOS technology that was validated by the ATLAS collaboration for its radiation hardness. The prototypes use a redundant search algorithm with 14 conversion steps allowing some margins with comparator’s decision errors and opening the way to a digital calibration to compensate the capacitors mismatching effects. The digital part of our ADCs is very simplified to reduce the commands generation delays and saving some dynamic power consumption. This logic follows a monotonic switching algorithm which saves about70% of dynamic power consumption compared to the conventional switching algorithm. Using this algorithm, 50% of the total capacitance reduction is achieved when one compare our first prototype using a one segment capacitive DAC with a classic SAR architecture. To boost even more our results in terms of area and consumption, a second prototype was made by introducing a two segments DAC array. This resulted in many additional benefits: Compared to the first prototype, the area used is reduced in a ratio of 7,6, the total equivalent capacitance is divided by a factor 12, and finally the power consumption in improved by a factor 1,58. The ADCs respectively consume a power of ~10,3mW and ~6,5mW, and they respectively occupy an area of ~2,63mm2 and ~0,344mm2.A foreground digital calibration algorithm has been used to compensate the capacitors mismatching effects. A high frequency open loop reference voltages buffers have been designed to allow the high speed and high accuracy charge/discharge of the DAC capacitors array.Following electrical simulations, both prototypes reach an ENOB better than 11bits while operating at the speed of 40MS/s. The INL from the simulations were respectively +1.14/-1.1LSB and +1.66/-1.72LSB.The preliminary testing results of the first prototype are very close to that of a commercial 12bits ADC on our testing board. After calibration, we measured an ENOB of 10,5bits and an INL of +1/-2,18LSB. However, due to a testing board failure, the testing results of the second prototype are less accurate. In these circumstances, the latter reached an ENOB of 9,77bits and an INL of +7,61/-1,26LSB. Furthermore the current testing board limits the operating speed to ~9MS/s. Another improved board was designed to achieve a better ENOB at the targeted 40MS/s speed. The new testing results will be published in the future
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Kandala, Veera Raghavendra Sai Mallik. "ENERGY EFFICIENT CIRCUIT TECHNIQUES FOR SUCCESSIVE APPROXIMATION REGISTER ADC." OpenSIUC, 2012. https://opensiuc.lib.siu.edu/dissertations/539.

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Charge-scaling (CS) successive approximation register (SAR) ADC's are widely used in the design of low power electronics. Significant portions of CS-SAR ADC power are consumed by CS capacitor arrays and comparator circuits. This Dissertation presents circuit techniques to reduce the power consumption of both CS capacitor array and the latch comparator during ADC operations. The impacts of the proposed techniques on ADC accuracies are analyzed and circuit techniques are presented to address the accuracy concerns. The dissertation also presents techniques to cope with capacitor mismatches, which becomes more significant with the use of very small unit capacitors in the CS array. These techniques rely on a novel programmable CS capacitor array that allow optimally grouping the unit capacitors. Based on a 0.13um CMOS technology the proposed techniques are verified with extensive circuit simulation. Post layout simulations are done to evaluate the proposed techniques for energy efficient CS capacitor array.
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Book chapters on the topic "Successive approximation register converters"

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Ohnhäuser, Frank. "ADCs Based on Successive Approximation." In Analog-Digital Converters for Industrial Applications Including an Introduction to Digital-Analog Converters, 51–118. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-47020-6_2.

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Huang, Chih-Feng, Chien-Yuan Liu, and Yi-Chin Chen. "A Novel Successive Approximation Register ADC Based on Vernier Caliper Design." In Lecture Notes in Electrical Engineering, 299–305. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04573-3_37.

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Yuan, Shitong, Hai Huang, and Qiang Li. "A New Low Voltage Low Power Consumption Comparator for Successive Approximation Register ADCs." In Lecture Notes in Electrical Engineering, 205–13. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5803-6_21.

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Mahendra Reddy, M., and Sounak Roy. "Clock Pulse Based Foreground Calibration of a Sub-Radix-2 Successive Approximation Register ADC." In Communications in Computer and Information Science, 141–49. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9767-8_12.

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Artan, Nabi Sertac. "Signal-Adaptive Analog-to-Digital Converters for ULP Wearable and Implantable Medical Devices." In Biomedical Engineering, 413–43. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3158-6.ch018.

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The mission of this chapter is to introduce the reader the recent developments in the design of ultra-Low Power ADCs for Wearable and Implantable Medical Devices (WIMDs). The focus of this chapter will be on Signal-Adaptive Successive Approximation Register (SAR) ADC architectures and their derivatives, since the majority of the ULP medical devices rely on these architectures. The proposed chapter first provides an overview of the WIMDs, and electrophysiological signals. Then, basic SAR ADCs are introduced followed by the study of adaptive SAR ADCs. The chapter concludes with a brief summary of the other prevalent ADC architecture for WIMDs, namely the Level-Crossing ADCs.
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Artan, Nabi Sertac. "Signal-Adaptive Analog-to-Digital Converters for ULP Wearable and Implantable Medical Devices." In Wearable Technologies, 231–61. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5484-4.ch012.

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The mission of this chapter is to introduce the reader the recent developments in the design of ultra-Low Power ADCs for Wearable and Implantable Medical Devices (WIMDs). The focus of this chapter will be on Signal-Adaptive Successive Approximation Register (SAR) ADC architectures and their derivatives, since the majority of the ULP medical devices rely on these architectures. The proposed chapter first provides an overview of the WIMDs, and electrophysiological signals. Then, basic SAR ADCs are introduced followed by the study of adaptive SAR ADCs. The chapter concludes with a brief summary of the other prevalent ADC architecture for WIMDs, namely the Level-Crossing ADCs.
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Doris, Kostas, Erwin Janssen, Yu Lin, Athon Zanikopoulos, and Alessandro Murroni. "Interleaving of Successive-Approximation Register ADCs in Deep Sub-Micron CMOS Technology." In Advances in Analog and RF IC Design for Wireless Communication Systems, 225–50. Elsevier, 2013. http://dx.doi.org/10.1016/b978-0-12-398326-8.00010-8.

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Conference papers on the topic "Successive approximation register converters"

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D'Amico, Stefano, and Stefano Marinaci. "Low-power reference buffer for successive approximation register analog-to-digital converters." In 2018 International Conference on IC Design & Technology (ICICDT). IEEE, 2018. http://dx.doi.org/10.1109/icicdt.2018.8399752.

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Jhung, Seungho, Kilyoung Ko, Minju Lee, Seungryong Cho, Gyuseong Cho, and Inyong Kwon. "Radiation-hardened successive approximation register analog-to-digital converter." In 2020 International Conference on Electronics, Information, and Communication (ICEIC). IEEE, 2020. http://dx.doi.org/10.1109/iceic49074.2020.9051346.

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Thin, Mon Mon, and Myo Min Than. "Design of time reduction for successive approximation register A/D converter." In 2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE). IEEE, 2015. http://dx.doi.org/10.1109/iciteed.2015.7408966.

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Lai, Wen-Cheng, Jhin-Fang Huang, Ting Ye, and Chieh Wen Shih. "Integrated successive approximation register analog-to-digital converter for healthcare systems applications." In 2014 IEEE 12th International Conference on Solid -State and Integrated Circuit Technology (ICSICT). IEEE, 2014. http://dx.doi.org/10.1109/icsict.2014.7021242.

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Kuntz, Taimur Gibran Rabuske, and Saeid Nooshabadi. "An energy-efficient successive approximation register analog to digital converter in 180nm." In APCCAS 2010-2010 IEEE Asia Pacific Conference on Circuits and Systems. IEEE, 2010. http://dx.doi.org/10.1109/apccas.2010.5774967.

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Dhage, Priyanka, and Pradnya Jadhav. "Design of power efficient hybrid flash-successive approximation register analog to digital converter." In 2017 International Conference on Communication and Signal Processing (ICCSP). IEEE, 2017. http://dx.doi.org/10.1109/iccsp.2017.8286400.

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Sung, Guo-Ming, Po-En Wu, and Jun-Min Xu. "10-Bit Successive Approximation Register Analog-to-Digital Converter for BLDC Motor Drive." In 2020 International Symposium on Computer, Consumer and Control (IS3C). IEEE, 2020. http://dx.doi.org/10.1109/is3c50286.2020.00065.

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Mei Yee Ng. "0.18um low voltage 12-bit successive-approximation-register analog-to-digital converter (SAR ADC)." In 2011 3rd Asia Symposium on Quality Electronic Design (ASQED 2011). IEEE, 2011. http://dx.doi.org/10.1109/asqed.2011.6111760.

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Roy, Sounak, Raju Naik, Archana Kumari, and Durgam Mahesh. "A flash assisted dynamic range segmented successive approximation register (SAR) analog to digital converter." In 2017 International Conference on Circuits, System and Simulation (ICCSS). IEEE, 2017. http://dx.doi.org/10.1109/cirsyssim.2017.8023178.

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Lai, Wen-Cheng. "M-PAM receiver with successive approximation register analog-to-digital converter on wireless robotic applications." In 2016 International Automatic Control Conference (CACS). IEEE, 2016. http://dx.doi.org/10.1109/cacs.2016.7973906.

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