Abstract:
The Noise-Shaping SAR is a relatively new ADC architecture that combines the advantages of SAR and delta-sigma. It is particularly energy-efficient compared to delta-sigma and better suited for higher resolution compared to SAR. While the first noise-shaping SAR ADCs were limited to moderate resolution and speed, recent developments have extended the SNR to audio performance levels using high-order noise shaping. On the other hand, interleaving of noise-shaping SAR has effectively addressed the speed bottleneck. Noise-shaping SARs are also useful in hybrid ADCs where they can efficiently increase the order of a continuous-time delta-sigma as a backend quantizer. This presentation provides an overview of the noise-shaping SAR's evolution, discusses essential tradeoffs, and looks at what the future may hold.
Michael P. Flynn is the Fawwaz T. Ulaby Professor of Electrical and Computer Engineering at the University of Michigan. Michael Flynn is a 2008 Guggenheim Fellow and an IEEE Fellow. He received the 2023 IEEE Brokaw Award for Circuit Elegance. Dr. Flynn was Editor-in-Chief of the IEEE Journal of Solid-State Circuits from 2013 to 2016. He is a former Distinguished Lecturer of the IEEE Solid-State Circuits Society. He was chair of the Data Conversion Committee of the International Solid-State Circuits Conference.