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Robust Body Biasing Techniques for Dynamic Comparators

EasyChair Preprint 10475

4 pagesDate: June 30, 2023

Abstract

Forward body biasing (FBB) is among the simplest and most effective techniques that can be leveraged to improve the performance of dynamic comparators, as previous works have demonstrated. However, none of them puts emphasis on comparing different FBB schemes and their robustness against large differential input swings. This is especially important when considering circuits that operate at supply voltages above 0.5 V, where several approaches can be adopted for biasing the substrates without causing the body-source junctions to turn on. This paper compares three different techniques: the clocked FBB (CFBB) proposed in [1], an improvement of CFBB and a new hybrid approach that achieves the best performance in terms of delay. For the sake of brevity, the scope of our experiments has been limited to the Strong Arm latch. All simulations were performed in a 55 nm CMOS technology at 1 V supply and 2.4 GHz clock frequency.

Keyphrases: Forward Body Biasing, Internet of Things, Strong Arm Latch, dynamic comparator

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:10475,
  author    = {Valerio Spinogatti and Cristian Bocciarelli and Francesco Centurelli and Riccardo Della Sala and Alessandro Trifiletti},
  title     = {Robust Body Biasing Techniques for Dynamic Comparators},
  howpublished = {EasyChair Preprint 10475},
  year      = {EasyChair, 2023}}
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