Detection of communication signals using stochastic quantization

Ryan M. Corey, Andrew Carl Singer

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

Abstract

We consider the problem of receiving a communication signal using a stochastic signal converter with uncertain quantization levels. Deeply scaled comparator circuits may offer advantages in size and power, but can exhibit random variations in their parameters. We can take advantage of these devices by incorporating the uncertainty of the devices into the system model used for inference. In this paper, we develop a statistical model for such a converter and show how it can be applied to estimate sequences of symbols. We demonstrate the performance of the converter in a simulated communication receiver.

Original languageEnglish (US)
Title of host publicationConference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
PublisherIEEE Computer Society
Pages1442-1446
Number of pages5
Volume2016-February
ISBN (Electronic)9781467385763
DOIs
StatePublished - Feb 26 2016
Event49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, United States
Duration: Nov 8 2015Nov 11 2015

Other

Other49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
CountryUnited States
CityPacific Grove
Period11/8/1511/11/15

Keywords

  • Analog-to-digital conversion
  • communication
  • quantization
  • stochastic systems

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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