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

Error modeling, self-calibration and design of pipelined analog to digital converters

Typescript (photocopy).As the field of signal processing accelerates toward the use of high performance digital techniques, there is a growing need for increasingly fast and accurate analog to digital converters. Three highly visible examples of this trend originated in the last decade. The advent of the compact disc revolutionized the way high-fidelity audio is stored, reproduced, recorded and processed. Digital communication links, fiber optic cables and in the near future ISDN networks (Integrated Services Digital Network) are steadily replacing major portions of telephone systems. Finally, video-conferencing, multi-media computing and currently emerging high definition television (HDTV) systems rely more and more on real-time digital data compression and image enhancing techniques. All these applications rely on analog to digital conversion. In the field of digital audio, the required conversion accuracy is high, but the conversion speed limited (16 bits, 2 x 20 kHz signal bandwidth). In the field of image processing, the required accuracy is less, but the data conversion speed high (8-10 bits, 5-20MHz bandwidth). New applications keep pushing for increasing conversion rates and simultaneously higher accuracies. This dissertation discusses new analog to digital converter architectures that could accomplish this. As a consequence of the trend towards digital processing, prominent analog designers throughout the world have engaged in very active research on the topic of data conversion. Unfortunately, literature has not always kept up. At the time of this writing, it seemed rather difficult to find detailed fundamental publications about analog to digital converter design. This dissertation represents a modest attempt to remedy this situation. It is hoped that anyone with a back-ground in analog design could go through this work and pick up the fundamentals of converter operation, as well as a number of more advanced design techniques

Correlated level shifting as a power-saving method to reduce the effects of finite DC gain and signal swing in opamps

This thesis presents methods to reduce the effects of finite opamp DC gain, output voltage swing limitations in opamps, and component mismatches. The primary contribution of this thesis is a new switched-capacitor method named correlated level shifting (CLS). CLS enables true rail-to-rail operation by storing an estimate of the desired signal on a capacitor during an "estimate" phase, and subtracting the signal from the active circuitry (typically an opamp) during a "level shift" phase. This is done within the confines of a feedback loop. The effective loop-gain is the product of the loop-gains during the estimate and level shift phases. This enables, for example, a two-stage opamp to have the accuracy of a four-stage opamp. It also enables full utilization of the power supply since the gain block's output voltage can exceed the power supply. The thesis shows that the full utilization of the power supply and the increased DC effective loop gain leads to a significant power savings compared to existing techniques. The methods are presented in the context of pipelined analog-to-digital converters, although the methods can be used with other circuits that use opamps or are sensitive to component mismatch. An overview of the detrimental effects of reduced signal swing and low DC gain is given with an emphasis on the cost in power to correct these deficiencies when limited to existing circuit techniques. CLS is then shown to correct these deficiencies without increasing power. A detailed explanation of CLS operation is given, as are measured results from a 12-bit pipelined analog-to-digital converter that was fabricated using a 0.18μ CMOS process. The results include greater than 10-bit performance with true rail-to-rail operation. An overview of calibration is also given and the limitations are discussed. An argument is made that using CLS in addition to calibration will reduce power by increasing signal-to-noise ratio and reducing and linearizing the errors due to finite opamp gain. In addition, a method to reduce the effects of mismatch by measuring the relative size of elements is presented. Finally, several avenues for future research into CLS are given

Energy Efficient Techniques For Algorithmic Analog-To-Digital Converters

Analog-to-digital converters (ADCs) are key design blocks in state-of-art image, capacitive, and biomedical sensing applications. In these sensing applications, algorithmic ADCs are the preferred choice due to their high resolution and low area advantages. Algorithmic ADCs are based on the same operating principle as that of pipelined ADCs. Unlike pipelined ADCs where the residue is transferred to the next stage, an N-bit algorithmic ADC utilizes the same hardware N-times for each bit of resolution. Due to the cyclic nature of algorithmic ADCs, many of the low power techniques applicable to pipelined ADCs cannot be directly applied to algorithmic ADCs. Consequently, compared to those of pipelined ADCs, the traditional implementations of algorithmic ADCs are power inefficient. This thesis presents two novel energy efficient techniques for algorithmic ADCs. The first technique modifies the capacitors' arrangement of a conventional flip-around configuration and amplifier sharing technique, resulting in a low power and low area design solution. The other technique is based on the unit multiplying-digital-to-analog-converter approach. The proposed approach exploits the power saving advantages of capacitor-shared technique and capacitor-scaled technique. It is shown that, compared to conventional techniques, the proposed techniques reduce the power consumption of algorithmic ADCs by more than 85\%. To verify the effectiveness of such approaches, two prototype chips, a 10-bit 5 MS/s and a 12-bit 10 MS/s ADCs, are implemented in a 130-nm CMOS process. Detailed design considerations are discussed as well as the simulation and measurement results. According to the simulation results, both designs achieve figures-of-merit of approximately 60 fJ/step, making them some of the most power efficient ADCs to date

Energy Efficient Techniques For Algorithmic Analog-To-Digital Converters

Analog-to-digital converters (ADCs) are key design blocks in state-of-art image, capacitive, and biomedical sensing applications. In these sensing applications, algorithmic ADCs are the preferred choice due to their high resolution and low area advantages. Algorithmic ADCs are based on the same operating principle as that of pipelined ADCs. Unlike pipelined ADCs where the residue is transferred to the next stage, an N-bit algorithmic ADC utilizes the same hardware N-times for each bit of resolution. Due to the cyclic nature of algorithmic ADCs, many of the low power techniques applicable to pipelined ADCs cannot be directly applied to algorithmic ADCs. Consequently, compared to those of pipelined ADCs, the traditional implementations of algorithmic ADCs are power inefficient. This thesis presents two novel energy efficient techniques for algorithmic ADCs. The first technique modifies the capacitors' arrangement of a conventional flip-around configuration and amplifier sharing technique, resulting in a low power and low area design solution. The other technique is based on the unit multiplying-digital-to-analog-converter approach. The proposed approach exploits the power saving advantages of capacitor-shared technique and capacitor-scaled technique. It is shown that, compared to conventional techniques, the proposed techniques reduce the power consumption of algorithmic ADCs by more than 85\%. To verify the effectiveness of such approaches, two prototype chips, a 10-bit 5 MS/s and a 12-bit 10 MS/s ADCs, are implemented in a 130-nm CMOS process. Detailed design considerations are discussed as well as the simulation and measurement results. According to the simulation results, both designs achieve figures-of-merit of approximately 60 fJ/step, making them some of the most power efficient ADCs to date

Integrated chaos generators

This paper surveys the different design issues, from mathematical model to silicon, involved on the design of integrated circuits for the generation of chaotic behavior.Comisión Interministerial de Ciencia y Tecnología 1FD97-1611(TIC)European Commission ESPRIT 3110

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

A 12b 100MSps Split Pipeline ADC with Open-Loop Residue Amplification

The design of a low-power 12-bit 100MSps pipeline analog-to-digital converter (ADC) with open-loop residue amplification using the novel Split-ADC architecture is described. The choice of a 12b 100MSps specification targets medical applications such as portable ultrasound. For a representative ADC such as the ADS5270, the figure of merit (FOM) is approximately 1pJ/step and the power dissipation is 113mW. The use of an open-loop residue amplifier resulted in a FOM of 0.571pJ/step and a power dissipation of 11.2mW

Pipeline analog-to-digital converters for wide-band wireless communications

During the last decade, the development of the analog electronics has been dictated by the enormous growth of the wireless communications. Typical for the new communication standards has been an evolution towards higher data rates, which allows more services to be provided. Simultaneously, the boundary between analog and digital signal processing is moving closer to the antenna, thus aiming for a software defined radio. For analog-to-digital converters (ADCs) of radio receivers this indicates higher sample rate, wider bandwidth, higher resolution, and lower power dissipation. The radio receiver architectures, showing the greatest potential to meet the commercial trends, include the direct conversion receiver and the super heterodyne receiver with an ADC sampling at the intermediate frequency (IF). The pipelined ADC architecture, based on the switched capacitor (SC) technique, has most successfully covered the widely separated resolution and sample rate requirements of these receiver architectures. In this thesis, the requirements of ADCs in both of these receiver architectures are studied using the system specifications of the 3G WCDMA standard. From the standard and from the limited performance of the circuit building blocks, design constraints for pipeline ADCs, at the architectural and circuit level, are drawn. At the circuit level, novel topologies for all the essential blocks of the pipeline ADC have been developed. These include a dual-mode operational amplifier, low-power voltage reference circuits with buffering, and a floating-bulk bootstrapped switch for highly-linear IF-sampling. The emphasis has been on dynamic comparators: a new mismatch insensitive topology is proposed and measurement results for three different topologies are presented. At the architectural level, the optimization of the ADCs in the single-chip direct conversion receivers is discussed: the need for small area, low power, suppression of substrate noise, input and output interfaces, etc. Adaptation of the resolution and sample rate of a pipeline ADC, to be used in more flexible multi-mode receivers, is also an important topic included. A 6-bit 15.36-MS/s embedded CMOS pipeline ADC and an 8-bit 1/15.36-MS/s dual-mode CMOS pipeline ADC, optimized for low-power single-chip direct conversion receivers with single-channel reception, have been designed. The bandwidth of a pipeline ADC can be extended by employing parallelism to allow multi-channel reception. The errors resulted from mismatch of parallel signal paths are analyzed and their elimination is presented. Particularly, an optimal partitioning of the resolution between the stages, and the number of parallel channels, in time-interleaved ADCs are derived. A low-power 10-bit 200-MS/s CMOS parallel pipeline ADC employing double sampling and a front-end sample-and-hold (S/H) circuit is implemented. Emphasis of the thesis is on high-resolution pipeline ADCs with IF-sampling capability. The resolution is extended beyond the limits set by device matching by using calibration, while time interleaving is applied to widen the signal bandwidth. A review of calibration and error averaging techniques is presented. A simple digital self-calibration technique to compensate capacitor mismatch within a single-channel pipeline ADC, and the gain and offset mismatch between the channels of a time-interleaved ADC, is developed. The new calibration method is validated with two high-resolution BiCMOS prototypes, a 13-bit 50-MS/s single-channel and a 14-bit 160-MS/s parallel pipeline ADC, both utilizing a highly linear front-end allowing sampling from 200-MHz IF-band.reviewe

Analysis and design of a wide dynamic range pulse-frequency modulation CMOS image sensor

Complementary Metal-Oxide Semiconductor (CMOS) image sensor is the dominant electronic imaging device in many application fields, including the mobile or portable devices, teleconference cameras, surveillance and medical imaging sensors. Wide dynamic range (WDR) imaging is of interest particular, demonstrating a large-contrast imaging range of the sensor. As of today, different approaches have been presented to provide solutions for this purpose, but there exists various trade-offs among these designs, which limit the number of applications. A pulse-frequency modulation (PFM) pixel offers the possibility to outperform existing designs in WDR imaging applications, however issues such as uniformity and cost have to be carefully handled to make it practical for different purposes. In addition, a complete evaluation of the sensor performance has to be executed prior to fabrication in silicon technology. A thorough investigation of WDR image sensor based on the PFM pixel is performed in this thesis. Starting with the analysis, modeling, and measurements of a PFM pixel, the details of every particular circuit operation are presented. The causes of dynamic range (DR) limitations and signal nonlinearity are identified, and noise measurement is also performed, to guide future design strategies. We present the design of an innovative double-delta compensating (DDC) technique which increases the sensor uniformity as well as DR. This technique achieves performance optimization of the PFM pixel with a minimal cost an improved linearity, and is carefully simulated to demonstrate its feasibility. A quad-sampling technique is also presented with the cooperation of pixel and column circuits to generate a WDR image sensor with a reduced cost for the pixel. This method, which is verified through the field-programmable gate array (FPGA) implementation, saves considerable area in the pixel and employs the maximal DR that a PFM pixel provides. A complete WDR image sensor structure is proposed to evaluate the performance and feasibility of fabrication in silicon technology. The plans of future work and possible improvements are also presented