956 research outputs found

    Calibration of pipeline ADC with pruned Volterra kernels

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    A Volterra model is used to calibrate a pipeline ADC simulated in Cadence Virtuoso using the STMicroelectronics CMOS 45 nm process. The ADC was designed to work at 50 MSps, but it is simulated at up to 125 MSps, proving that calibration using a Volterra model can significantly increase sampling frequency. Equivalent number of bits (ENOB) improves by 1-2.5 bits (6-15 dB) with 37101 model parameters. The complexity of the calibration algorithm is reduced using different lengths for each Volterra kernels and performing iterative pruning. System identification is performed by least squares techniques with a set of sinusoids at different frequencies spanning the whole Nyquist band. A comparison with simplified Volterra models proposed in the literature shows better performance for the pruned Volterra model with comparable complexity, improving linearity by as much as 1.5 bits more than the other techniques

    Equalization-Based Digital Background Calibration Technique for Pipelined ADCs

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    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

    Low-Power Slew-Rate Boosting Based 12-Bit Pipeline ADC Utilizing Forecasting Technique in the Sub-ADCS

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    The dissertation presents architecture and circuit solutions to improve the power efficiency of high-speed 12-bit pipelined ADCs in advanced CMOS technologies. First, the 4.5bit algorithmic pipelined front-end stage is proposed. It is shown that the algorithmic pipelined ADC requires a simpler sub-ADC and shows lower sensitivity to the Multiplying DAC (MDAC) errors and smaller area and power dissipation in comparison to the conventional multi-bit per stage pipelined ADC. Also, it is shown that the algorithmic pipelined architecture is more tolerant to capacitive mismatch for the same input-referred thermal noise than the conventional multi-bit per stage architecture. To take full advantage of these properties, a modified residue curve for the pipelined ADC is proposed. This concept introduces better linearity compared with the conventional residue curve of the pipelined ADC; this approach is particularly attractive for the digitization of signals with large peak to average ratio such as OFDM coded signals. Moreover, the minimum total required transconductance for the different architectures of the 12-bit pipelined ADC are computed. This helps the pipelined ADC designers to find the most power-efficient architecture between different topologies based on the same input-referred thermal noise. By employing this calculation, the most power efficient architecture for realizing the 12-bit pipelined ADC is selected. Then, a technique for slew-rate (SR) boosting in switched-capacitor circuits is proposed in the order to be utilized in the proposed 12-bit pipelined ADC. This technique makes use of a class-B auxiliary amplifier that generates a compensating current only when high slew-rate is demanded by large input signal. The proposed architecture employs simple circuitry to detect the need of injecting current at the output load by implementing a Pre-Amp followed by a class-B amplifier, embedded with a pre-defined hysteresis, in parallel with the main amplifier to boost its slew phase. The proposed solution requires small static power since it does not need high dc-current at the output stage of the main amplifier. The proposed technique is suitable for high-speed low-power multi-bit/stage pipelined ADC applications. Both transistor-level simulations and experimental results in TSMC 40nm technology reduces the slew-time for more than 45% and shorts the 1% settling time by 28% when used in a 4.5bit/stage pipelined ADC; power consumption increases by 20%. In addition, the technique of inactivating and disconnecting of the sub-ADC’s comparators by forecasting the sign of the sampled input voltage is proposed in the order to reduce the dynamic power consumption of the sub-ADCs in the proposed 12-bit pipelined ADC. This technique reduces the total dynamic power consumption more than 46%. The implemented 12-bit pipelined ADC achieves an SNDR/SFDR of 65.9/82.3 dB at low input frequencies and a 64.1/75.5 dB near Nyquist frequency while running at 500 MS/s. The pipelined ADC prototype occupies an active area of 0.9 mm^2 and consumes 18.16 mW from a 1.1 V supply, resulting in a figure of merit (FOM) of 22.4 and a 27.7 fJ/conversion-step at low-frequency and Nyquist frequency, respectively

    Low-Power Slew-Rate Boosting Based 12-Bit Pipeline ADC Utilizing Forecasting Technique in the Sub-ADCS

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    The dissertation presents architecture and circuit solutions to improve the power efficiency of high-speed 12-bit pipelined ADCs in advanced CMOS technologies. First, the 4.5bit algorithmic pipelined front-end stage is proposed. It is shown that the algorithmic pipelined ADC requires a simpler sub-ADC and shows lower sensitivity to the Multiplying DAC (MDAC) errors and smaller area and power dissipation in comparison to the conventional multi-bit per stage pipelined ADC. Also, it is shown that the algorithmic pipelined architecture is more tolerant to capacitive mismatch for the same input-referred thermal noise than the conventional multi-bit per stage architecture. To take full advantage of these properties, a modified residue curve for the pipelined ADC is proposed. This concept introduces better linearity compared with the conventional residue curve of the pipelined ADC; this approach is particularly attractive for the digitization of signals with large peak to average ratio such as OFDM coded signals. Moreover, the minimum total required transconductance for the different architectures of the 12-bit pipelined ADC are computed. This helps the pipelined ADC designers to find the most power-efficient architecture between different topologies based on the same input-referred thermal noise. By employing this calculation, the most power efficient architecture for realizing the 12-bit pipelined ADC is selected. Then, a technique for slew-rate (SR) boosting in switched-capacitor circuits is proposed in the order to be utilized in the proposed 12-bit pipelined ADC. This technique makes use of a class-B auxiliary amplifier that generates a compensating current only when high slew-rate is demanded by large input signal. The proposed architecture employs simple circuitry to detect the need of injecting current at the output load by implementing a Pre-Amp followed by a class-B amplifier, embedded with a pre-defined hysteresis, in parallel with the main amplifier to boost its slew phase. The proposed solution requires small static power since it does not need high dc-current at the output stage of the main amplifier. The proposed technique is suitable for high-speed low-power multi-bit/stage pipelined ADC applications. Both transistor-level simulations and experimental results in TSMC 40nm technology reduces the slew-time for more than 45% and shorts the 1% settling time by 28% when used in a 4.5bit/stage pipelined ADC; power consumption increases by 20%. In addition, the technique of inactivating and disconnecting of the sub-ADC’s comparators by forecasting the sign of the sampled input voltage is proposed in the order to reduce the dynamic power consumption of the sub-ADCs in the proposed 12-bit pipelined ADC. This technique reduces the total dynamic power consumption more than 46%. The implemented 12-bit pipelined ADC achieves an SNDR/SFDR of 65.9/82.3 dB at low input frequencies and a 64.1/75.5 dB near Nyquist frequency while running at 500 MS/s. The pipelined ADC prototype occupies an active area of 0.9 mm^2 and consumes 18.16 mW from a 1.1 V supply, resulting in a figure of merit (FOM) of 22.4 and a 27.7 fJ/conversion-step at low-frequency and Nyquist frequency, respectively

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

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    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

    Parallel-sampling ADC architecture for power-efficient broadband multi-carrier systems

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    A 12b 250 MS/s Pipelined ADC With Virtual Ground Reference Buffers

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    The virtual ground reference buffer (VGRB) technique is introduced as a means to improve the performance of switched-capacitor circuits. The technique enhances the performance by improving the feedback factor of the op-amp without affecting the signal gain. The bootstrapping action of the level-shifting buffers relaxes key op-amp performance requirements including unity-gain bandwidth, noise, open-loop gain and offset compared with conventional circuits. This reduces the design complexity and the power consumption of op-amp based circuits. Based on this technique, a 12 b pipelined ADC is implemented in 65 nm CMOS that achieves 67.0 dB SNDR at 250 MS/s and consumes 49.7 mW of power from a 1.2 V power supply
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