Thesis (M.S.)--Brigham Young University. Dept. of Electrical and Computer Engineering, 2004. / Includes bibliographical references (p. 103-104).

Thesis (Ph. D.)--University of Washington, 2003. / Vita. Includes bibliographical references (leaves 96-101).

As high precision data acquisition systems continue to improve their performance and power efficiency to migrate into portable devices, increasing demands are placed on the performance and power efficiency of the analog-to-digital conversion modulator. On the other hand, analog-to-digital modulator performance is largely limited by several major noise sources including thermal noise, flicker noise, quantization noise leakage and internal analog and digital coupling noise. Large power consumption and die area are normally required to suppress the above noise energies, which are the major challenges to achieve power efficiency and cost targets for modern day high precision converter design. The main goal of this work is to study various approaches and then propose and validate the most suitable topology to achieve the desired performance and power efficiency specifications, up to 100 kHz bandwidth with 16-21 bits of resolution. This work will first study various analog-to-digital conversion architectures ranging from Nyquist converters such as flash, pipeline, to the delta sigma architecture. Advantages and limitations of each approach will be compared to develop the criteria for the optimal modulator architecture. Second, this work will study analog sub-circuit blocks such as opamp, comparator and reference voltage generator, to compare the advantages and limitations of various design approaches to develop the criteria for the optimal analog sub circuit design. Third, this work will study noise contributions from various sources such as thermal noise, flicker noise and coupling noise, to explore alternative power and die area efficient approaches to suppress the noise. Finally, a new topology will be proposed to meet all above criteria and adopt the new noise suppression concepts, and will be demonstrated to be the optimal approach. The main difference between this work from previous ones is that current work places emphasis on the integration of the modulator architecture design and analog sub-circuit block research efforts. A high performance stereo analog-to-digital modulator is designed based on the new approach and manufactured in silicon. The chip is measured in the lab and the measurement results reported in the dissertation. / text

There is a need to rethink the design of analog/mixed-signal circuits to be viable in state-of-the-art nanometer-scale CMOS processes due to the hostile environment they create for analog circuits. Reduced supply voltages and smaller capacitances are beneficial to circuit speed and digital circuit power efficiency; however, these changes along with smaller dimensions and close coupling of fast-switching digital circuits have made high-accuracy voltage domain analog processing increasingly difficult. In this work, techniques to improve analog-to-digital converters (ADC) for nanometer-scale processes are explored. First, I propose a mostly-digital time-based oversampling delta-sigma (∆Σ) ADC architecture. This system uses time, rather than voltage, as the analog variable for its quantizer, where the noise shaping process is realized by modulating the width of a variable-width digital "pulse." The merits of this architecture render it not only viable to scaling, but also enable improved circuit performance with ever-increasing time resolution of scaled CMOS processes. This is in contrast to traditional voltage-based analog circuit design, whose performance generally decreases with scaling due to increasingly higher voltage uncertainty due to supply voltage reduction and short-channel effects. In conjunction with Dr. Woo Young Jung while he was a Ph.D. student at The University of Texas at Austin, two prototype implementations of the proposed architecture were designed and fabricated in TSMC 180 nm CMOS and IBM 45 nm Silicon-On-Insulator (SOI) processes. The prototype ADCs demonstrate that the architecture can achieve bandwidths of 5-20 MHz and ∼50 dB SNR with very small area. The first generation ADC core occupies an area of only 0.0275 mm² , while the second generation ADC core occupies 0.0192 mm² . The two prototypes can be categorized as some of the smallestarea modulators in the literature. Second, I analyze the measured results of the prototype ADC chips, and determine the source for the harmonic distortion. I then demonstrate a digital calibration algorithm that sufficiently mitigates the distortion. This calibration approach falls in the general philosophy of digitally-assisted analog systems. In this philosophy, digital calibration and post-correction are favored over traditional analog solutions, in which there is a high cost to the analog solution either in complexity, power, or area. / text

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Oversampling analog-to-digital and digital-to-analog converters are gaining more popularity in many signal processing applications. Delta-sigma modulators are used in practical applications of oversampling systems because of their apparent practical advantage over other oversampling converters in terms of insensitivity to the inevitable imperfection of the analog circuitry. In Δ∑ modulators, analog integrators are always very important components and are usually modeled as ideal in real applications. However, theoretical analysis shows that the integrator nonideality due to capacitor mismatching and finite op-amp gain cause large signal-to-noise ratio degradation. The primary disadvantages of the dual-quantization and cascade modulators are that they rely on the precise cancellation of terms derived from two separate circuits, one analog and one digital, and that there are added complexities on the digital sides. This thesis describes digital adaptive correction of nonidealities in dual-quantization and cascade modulators. The sources and effects of nonidealities in a first-order delta-sigma loop are analyzed. Simple correction schemes are presented, and theoretical SNR improvements are calculated and compared with simulation results. / Graduation date: 1993