Statistics gathering converters: System level metrics, simulated performance, and process variation robustness

Andrew J. Bean, Andrew Carl Singer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Analog to digital conversion is often a critical component of a digital communication link. However, the designs of typical architectures for analog to digital converters (ADCs) are focused primarily on signal reconstruction rather than gathering information for the reliable detection of symbols sent through a channel. Therefore, we consider new architectures for statistics gathering converters (SGCs), and demonstrate that these architectures achieve good communication performance while removing the artificial constraints imposed by the typical ADC design metrics. In this paper, we extend previous work on system level metrics for statistics gathering converters (SGCs). For the particular case of the delay-line based SGC, we demonstrate two important facts. First, we consider the comparison between the performance indicated by system level metrics (BER and LMMSE) with the results of a simulated communication scenario utilizing a low complexity least mean squares equalizer. Simulations demonstrate that the system level metrics are an accurate representation of the realizable communication performance of a system using the converter in question, and that such performance can be nearly achieved by the delay-line SGC using a specially designed low complexity (LMS) equalizer that takes into account the particular structure of the SGC. Second, we demonstrate that the communication performance of the delay-line SGC is robust to significant levels of process variation, which manifest in random realizations of the values of the various SGC circuit elements. Notably, this is contrary to the strict requirements on process variation imposed by traditional metrics (SNDR, SFDR, THD) on conventional analog to digital converter designs.

Original languageEnglish (US)
Title of host publication2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages8365-8369
Number of pages5
ISBN (Print)9781479928927
DOIs
StatePublished - Jan 1 2014
Event2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 - Florence, Italy
Duration: May 4 2014May 9 2014

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
CountryItaly
CityFlorence
Period5/4/145/9/14

Keywords

  • ADC
  • BER
  • LMMSE
  • communication
  • system level metric

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Statistics gathering converters: System level metrics, simulated performance, and process variation robustness'. Together they form a unique fingerprint.

Cite this