Electrical Engineering
      and Computer Sciences

Electrical Engineering and Computer Sciences

COLLEGE OF ENGINEERING

UC Berkeley

9.7-ENOB SAR ADC for Compressed Sensing

Brian Wang

EECS Department
University of California, Berkeley
Technical Report No. UCB/EECS-2014-94
May 16, 2014

http://www.eecs.berkeley.edu/Pubs/TechRpts/2014/EECS-2014-94.pdf

Moore’s law has allowed the microprocessor market to innovate at an astonishing rate. We believe microchip implants are the next frontier for the integrated circuit industry. Current health monitoring technologies are large, expensive, and consume significant power. By miniaturizing and reducing power, monitoring equipment can be implanted into the body and allow 24/7 health monitoring. We plan to implement a new transmitter topology, compressed sensing, which can be used for wireless communications with microchip implants. This paper focuses on the ADC used in the compressed sensing signal chain. Using the Cadence suite of tools and a 32/28nm process, we produced simulations of our compressed sensing Analog to Digital Converter to feed into a Digital Compression circuit. Our results indicate that a 12-bit, 20Ksample, 9.8nW Successive Approximation ADC is possible for diagnostic resolution (10 bits). By incorporating a hybrid-C2C DAC with differential floating voltage shields, it is possible to obtain 9.7 ENOB. Thus, we recommend this ADC for use in compressed sensing for biomedical purposes. Not only will it be useful in digital compressed sensing, but this can also be repurposed for use in analog compressed sensing.

Advisor: David Allstot


BibTeX citation:

@mastersthesis{Wang:EECS-2014-94,
    Author = {Wang, Brian},
    Title = {9.7-ENOB SAR ADC for Compressed Sensing},
    School = {EECS Department, University of California, Berkeley},
    Year = {2014},
    Month = {May},
    URL = {http://www.eecs.berkeley.edu/Pubs/TechRpts/2014/EECS-2014-94.html},
    Number = {UCB/EECS-2014-94},
    Abstract = {Moore’s law has allowed the microprocessor market to innovate at an astonishing rate.  We believe microchip implants are the next frontier for the integrated circuit industry.  Current health monitoring technologies are large, expensive, and consume significant power.  By miniaturizing and reducing power, monitoring equipment can be implanted into the body and allow 24/7 health monitoring.  We plan to implement a new transmitter topology, compressed sensing, which can be used for wireless communications with microchip implants. This paper focuses on the ADC used in the compressed sensing signal chain.  Using the Cadence suite of tools and a 32/28nm process, we produced simulations of our compressed sensing Analog to Digital Converter to feed into a Digital Compression circuit. Our results indicate that a 12-bit, 20Ksample, 9.8nW Successive Approximation ADC is possible for diagnostic resolution (10 bits). By incorporating a hybrid-C2C DAC with differential floating voltage shields, it is possible to obtain 9.7 ENOB.  Thus, we recommend this ADC for use in compressed sensing for biomedical purposes.  Not only will it be useful in digital compressed sensing, but this can also be repurposed for use in analog compressed sensing.}
}

EndNote citation:

%0 Thesis
%A Wang, Brian
%T 9.7-ENOB SAR ADC for Compressed Sensing
%I EECS Department, University of California, Berkeley
%D 2014
%8 May 16
%@ UCB/EECS-2014-94
%U http://www.eecs.berkeley.edu/Pubs/TechRpts/2014/EECS-2014-94.html
%F Wang:EECS-2014-94