Signal-chain Optimized Analog-to-digital Converter Design
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Xie, Tian
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Abstract
Analog-to-Digital Converters (ADCs) are essential components in modern electronics, enabling the conversion of physical signals into digital form. While most research focuses on improving ADC performance, other elements in the signal chain often become the bottlenecks of system. This thesis introduces a novel concept: signal-chain optimized ADC design, which co-designs ADCs and other components to enhance overall performance. Initially, an input-driving-buffer-embedded NS SAR ADC is proposed, which successfully reduces input driving requirements while achieving state-of-the-art performance. Additionally, the Amplifier-Reused-In-Loop Buffering (AILB) technique is proposed and validated, which further reduces hardware complexity and noise limitations. Finally, a light-to-digital converter (LDC) is developed to extend the idea to current sensing applications. This thesis provide a path to achieve system level optimization in power, area and resolution.
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2025-02-24
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Dissertation