2,354 research outputs found

    A 9.38-bit, 422nW, high linear SAR-ADC for wireless implantable system

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    In wireless implantable systems (WIS) low power consumption and linearity are the most prominent performance metrics in data acquisition systems. successive approximation register-analog to digital converter (SAR-ADC) is used for data processing in WIS. In this research work, a 10-bit low power high linear SAR-ADC has been designed for WIS. The proposed SAR-ADC architecture is designed using the sample and hold (S/H) circuit consisting of a bootstrap circuit with a dummy switch. This SAR-ADC has a dynamic latch comparator, a split capacitance digital to analog converter (SC-DAC) with mismatch calibration, and a SAR using D-flipflop. This architecture is designed in 45 nm CMOS technology. This ADC reduces non-linearity errors and improve the output voltage swing due to the usage of a clock booster and dummy switch in the sample and hold. The calculated outcomes of the proposed SAR ADC display that with on-chip calibration an ENOB of 9.38 (bits), spurious free distortion ratio (SFDR) of 58.621 dB, and ± 0.2 LSB DNL and ± 0.4LSB INL after calibration

    A 10-bit 4 MS/s SAR ADC with Fully-Dynamic Duty-Cycled Input Driver

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    This paper presents a duty-cycled input driver for a SAR ADC. Being a discrete-time system, the SAR ADC requires an accurate input signal only at its sampling moment. This motivates the use of a duty-cycled input driver which can be turned off during the conversion phase to save power. In this way, the power consumption of the SAR ADC together with its input driver becomes fully dynamic. This idea is applied to a 10-bit 4 MS/s SAR ADC with unity-gain input drivers. Fabricated in 65 nm CMOS, the prototype achieves 8.9 ENOB and 69.9 dB SFDR while consuming 35.0 ”W. This leads to a Walden FoM of 18.3 fJ/conversion-step for the ADC including driver.</p

    Behavior-level Analysis of a Successive Stochastic Approximation Analog-to-Digital Conversion System for Multi-channel Biomedical Data Acquisition

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    In the present paper, we propose a novel high-resolution analog-to-digital converter (ADC) for low-power biomedical analog frontends, which we call the successive stochastic approximation ADC. The proposed ADC uses a stochastic flash ADC (SF-ADC) to realize a digitally controlled variable-threshold comparator in a successive-approximationregister ADC (SAR-ADC), which can correct errors originating from the internal digital-to-analog converter in the SAR-ADC. For the residual error after SAR-ADC operation, which can be smaller than thermal noise, the SF-ADC uses the statistical characteristics of noise to achieve high resolution. The SF-ADC output for the residual signal is combined with the SAR-ADC output to obtain high-precision output data using the supervised machine learning method

    Voltaje de referencia BandGap y módulo de comunicación serial para SAR ADC 10 bits de baja potencia para aplicaciones biomédicas

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    The document presents two designs a BandGap Reference Voltage, and a Communication Serial Module for a 10 bits SAR ADC for low-power applications. Designs were implemented using TSMC 0.18 ”m CMOS technology with 1.8 V supply voltage. The BandGap Reference Voltage was designed to provide a reference voltage of 900 mV ±500 ”V. The bandgap was tested at simulation level under different temperature conditions to ensure constant output in a temperature range from –40 °C to 85 °C. The Communication Serial Module is designed using the hardware description language Verilog. This module receives the 10 bits parallel output of the SAR ADC and retransmits the conversion result into a serial format using the SPI format. The Communication Serial Module was tested under a simulator, where multiple test cases were applied to stimulate in different ways the module. Both circuits were designed to accomplish the SAR ADC requirements in which BandGap supplies the reference voltage to the capacitor array in the SAR ADC and the Serial Module sends the data values after the conversion is finalized.ITESO, A. C

    Design and Implementation of an 8-Bit 1-kS/s Successive-Approximation ADC

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    Treballs Finals de Grau de FĂ­sica, Facultat de FĂ­sica, Universitat de Barcelona, Curs: 2021, Tutora: Anna Maria VilĂ  ArbonĂšsSuccessive-approximation (SAR) analog-to-digital converters (ADCs) are among the most common and widely used general-purpose ADC architectures for their moderate resolutions and sampling rates. This paper aims to study and understand the conventional SAR ADC by proposing an N-bit architecture with a split capacitor digital-to-analog converter (DAC), and design, simulate, and finally implement a functional 8-bit 1-kS/s 0-5V SAR ADC prototype on a breadboard. The simulations and the tested prototype allow us to analyze the results and notice some of the most relevant advantages and disadvantages of the SAR ADC besides its limitation

    High Linearity SAR ADC for Smart Sensor Applications

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    This paper presents capacitive array optimization technique to improve the Spurious Free Dynamic Range (SFDR) and Signal-to-Noise-and-Distortion Ratio (SNDR) of Successive Approximation Register (SAR) Analog-to-Digital Converter (ADC) for smart sensor application. Monte Carlo simulation results show that capacitive array optimization technique proposed can make the SFDR, SNDR and (Signal-to-Noise Ratio) SNR more concentrated, which means the differences between maximum value and minimum value of SFDR, SNDR and SNR are much smaller than the conventional calibration techniques, more stable performance enhancement can be achieved, and the averaged SFDR is improved from 72.9 dB to 91.1 dB by using the capacitive array optimization method, 18.2 dB improvement of SFDR is obtained with only little expense of digital logic circuits, which makes it good choice for high resolution and high linearity smart sensing systems
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