7 research outputs found

    A Research on High-Performance Analog-to-Digital Converters in Wireless Communication Systems

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    博士(工学)法政大学 (Hosei University

    A \u3cem\u3eK\u3c/em\u3e-Delta-1-Sigma Modulator for Wideband Analog to Digital Conversion

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    As CMOS technology shrinks, the transistor speed K-quantizing paths and can achieve significantly higher conversion bandwidths when compared to the traditional deltasigma ADCs. The 8-path KD1S modulator achieves an SNR of 58 dB (or 9.4-bits resolution) when clocked at 100 MHz for a conversion bandwidth of 6.25 MHz and an effective sampling rate equal to 800 MHz. The KD1S modulator has been fabricated in a 500 nm CMOS process and the experimental results are reported. Deficiencies in the first test chip performance are discussed along with their alleviation to achieve theoretical performance

    Design of a low power switched-capacitor pipeline analog-to-digital converter

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    An Analog to Digital Converter (ADC) is a circuit which converts an analog signal into digital signal. Real world is analog, and the data processed by the computer or by other signal processing systems is digital. Therefore, the need for ADCs is obvious. In this thesis, several novel designs used to improve ADCs operation speed and reduce ADC power consumption are proposed. First, a high speed switched source follower (SSF) sample and hold amplifier without feedthrough penalty is implemented and simulated. The SSF sample and hold amplifier can achieve 6 Bit resolution with sampling rate at 10Gs/s. Second, a novel rail-to-rail time domain comparator used in successive approximation register ADC (SAR ADC) is implemented and simulated. The simulation results show that the proposed SAR ADC can only consume 1.3 muW with a 0.7 V power supply. Finally, a prototype pipeline ADC is implemented and fabricated in an IBM 90nm CMOS process. The proposed design is validated using measurement on a fabricated silicon IC, and the proposed 10-bit ADC achieves a peak signal-to-noise- and-distortion-ratio (SNDR) of 47 dB. This SNDR translates to a figure of merit (FOM) of 2.6N/conversion-step with a 1.2 V power supply

    Time interleaved counter analog to digital converters

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    The work explores extending time interleaving in A/D converters, by applying a high-level of parallelism to one of the slowest and simplest types of data-converters, the counter ADC. The motivation for the work is to realise high-performance re-configurable A/D converters for use in multi-standard and multi-PHY communication receivers with signal bandwidths in the 10s to 100s of MHz. The counter ADC requires only a comparator, a ramp signal, and a digital counter, where the comparator compares the sampled input against all possible quantisation levels sequentially. This work explores arranging counter ADCs in large time-interleaved arrays, building a Time Interleaved Counter (TIC) ADC. The key to realising a TIC ADC is distributed sampling and a global multi-phase ramp generator realised with a novel figure-of-8 rotating resistor ring. Furthermore Counter ADCs allow for re-configurability between effective sampling rate and resolution due to their sequential comparison of reference levels in conversion. A prototype TIC ADC of 128-channels was fabricated and measured in 0.13μm CMOS technology, where the same block can be configured to operate as a 7-bit 1GS/s, 8-bit 500MS/s, or 9-bit 250MS/s dataconverter. The ADC achieves a sub 400fJ/step FOM in all modes of configuration

    Improving Accuracy and Energy Efficiency of Pipeline Analog to Digital Converters

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    Analog-to-Digital converters (ADC) are key building blocks of analog and mixed-signal processing that link the natural world of analog signals and the world of digital processing. This work describes the analysis, design, development and test of novel high-resolution (≥12-bit), moderate speed (10-100MS/s), energy-efficient ADCs. Such ADCs are typically used for communication, imaging and video applications. CMOS process scaling is typically aimed at enabling fast, low-power digital circuits. Scaling leads to lower supply voltages, and to short channel devices with low gain and poor matching between small devices. On the other hand, to process and amplify analog signals analog circuits rely on wide signal swing, large transistor gain and good component matching. Hence, analog circuit performance has lagged far behind digital performance. Analog circuits such as ADCs are therefore nowadays performance bottlenecks in many electronic systems. The pipeline ADC is a popular architecture for implementing ADCs with a wide range of speed and resolution. This work aims to improve the accuracy and energy efficiency of the pipeline architecture by combining it with more accurate or more energy efficient architectures such as Sigma-Delta and Successive-Approximation (SAR). Such novel, hybrid architectures are investigated in this work. In the first design, a new architecture is developed which combines a low-OSR resetting Sigma-Delta modulator architecture with the pipeline architecture. This architecture enhances the accuracy and energy efficiency of the pipeline architecture. A prototype 14-bit 23MS/s ADC, based on this new architecture, is designed and tested. This ADC achieves calibration-free 14-bit linearity, 11.7-bit ENOB and 87dB SFDR while dissipating only 48mW of power. In the second design, new hybrid architecture based on SAR and pipeline architecture is developed. This architecture significantly improves the energy efficiency of the pipeline architecture. A prototype 12-bit 50MS/s ADC is designed based on this new architecture. “Half-gain” and “half-reference” pipeline stages are also introduced in this prototype for the first time to further reduce power dissipation. This ADC dissipates only 3.5mW power.Ph.D.Electrical EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/76025/1/leechun_1.pd

    Wideband CMOS Data Converters for Linear and Efficient mmWave Transmitters

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    With continuously increasing demands for wireless connectivity, higher\ua0carrier frequencies and wider bandwidths are explored. To overcome a limited transmit power at these higher carrier frequencies, multiple\ua0input multiple output (MIMO) systems, with a large number of transmitters\ua0and antennas, are used to direct the transmitted power towards\ua0the user. With a large transmitter count, each individual transmitter\ua0needs to be small and allow for tight integration with digital circuits. In\ua0addition, modern communication standards require linear transmitters,\ua0making linearity an important factor in the transmitter design.In this thesis, radio frequency digital-to-analog converter (RF-DAC)-based transmitters are explored. They shift the transition from digital\ua0to analog closer to the antennas, performing both digital-to-analog\ua0conversion and up-conversion in a single block. To reduce the need for\ua0computationally costly digital predistortion (DPD), a linear and wellbehaved\ua0RF-DAC transfer characteristic is desirable. The combination\ua0of non-overlapping local oscillator (LO) signals and an expanding segmented\ua0non-linear RF-DAC scaling is evaluated as a way to linearize\ua0the transmitter. This linearization concept has been studied both for\ua0the linearization of the RF-DAC itself and for the joint linearization of\ua0the cascaded RF-DAC-based modulator and power amplifier (PA) combination.\ua0To adapt the linearization, observation receivers are needed.\ua0In these, high-speed analog-to-digital converters (ADCs) have a central\ua0role. A high-speed ADC has been designed and evaluated to understand\ua0how concepts used to increase the sample rate affect the dynamic performance

    Concepts for smart AD and DA converters

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    This thesis studies the `smart' concept for application to analog-to-digital and digital-to-analog converters. The smart concept aims at improving performance - in a wide sense - of AD/DA converters by adding on-chip intelligence to extract imperfections and to correct for them. As the smart concept can correct for certain imperfections, it can also enable the use of more efficient architectures, thus yielding an additional performance boost. Chapter 2 studies trends and expectations in converter design with respect to applications, circuit design and technology evolution. Problems and opportunities are identfied, and an overview of performance criteria is given. Chapter 3 introduces the smart concept that takes advantage of the expected opportunities (described in chapter 2) in order to solve the anticipated problems. Chapter 4 applies the smart concept to digital-to-analog converters. In the discussed example, the concept is applied to reduce the area of the analog core of a current-steering DAC. It is shown that a sub-binary variable-radix approach reduces the area of the current-source elements substantially (10x compared to state-of-the-art), while maintaining accuracy by a self-measurement and digital pre-correction scheme. Chapter 5 describes the chip implementation of the sub-binary variable-radix DAC and discusses the experimental results. The results confirm that the sub-binary variable-radix design can achieve the smallest published current-source-array area for the given accuracy (12bit). Chapter 6 applies the smart concept to analog-to-digital converters, with as main goal the improvement of the overall performance in terms of a widely used figure-of-merit. Open-loop circuitry and time interleaving are shown to be key to achieve high-speed low-power solutions. It is suggested to apply a smart approach to reduce the effect of the imperfections, unintentionally caused by these key factors. On high-level, a global picture of the smart solution is proposed that can solve the problems while still maintaining power-efficiency. Chapter 7 deals with the design of a 500MSps open-loop track-and-hold circuit. This circuit is used as a test case to demonstrate the proposed smart approaches. Experimental results are presented and compared against prior art. Though there are several limitations in the design and the measurement setup, the measured performance is comparable to existing state-of-the-art. Chapter 8 introduces the first calibration method that counteracts the accuracy issues of the open-loop track-and-hold. A description of the method is given, and the implementation of the detection algorithm and correction circuitry is discussed. The chapter concludes with experimental measurement results. Chapter 9 introduces the second calibration method that targets the accuracy issues of time-interleaved circuits, in this case a 2-channel version of the implemented track-and-hold. The detection method, processing algorithm and correction circuitry are analyzed and their implementation is explained. Experimental results verify the usefulness of the method
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