An Energy-Efficient Multi-Sensor Compressed Sensing System Employing Time-Mode Signal Processing Techniques

Omer Can Akgun, Mauro Mangia, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti, Wouter A. Serdijn

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

4 Citations (Scopus)
70 Downloads (Pure)

Abstract

This paper presents the design of an ultra-low energy, rakeness-based compressed sensing (CS) system that utilizes time-mode (TM) signal processing (TMSP). To realize TM CS operation, the presented implementation makes use of monostable multivibrator based analog-to-time converters, fixed-width pulse generators, basic digital gates and an asynchronous time-to-digital converter. The TM CS system was designed in a standard 0.18 µm IC process and operates from a supply voltage of 0.6V. The system is designed to accommodate data from 128 individual sensors and outputs 9-bit digital words with an average reconstruction SNR of 35.31 dB, a compression ratio of 3.2, with an energy dissipation per channel per measurement vector of 0.621 pJ at a rate of 2.23 k measurement vectors per second.

Original languageEnglish
Title of host publication2019 IEEE International Symposium on Circuits and Systems (ISCAS)
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages1-4
Number of pages4
ISBN (Electronic)978-1-7281-0397-6
ISBN (Print)978-1-7281-0398-3
DOIs
Publication statusPublished - 1 May 2019
Event2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Sapporo, Japan
Duration: 26 May 201929 May 2019

Conference

Conference2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019
CountryJapan
CitySapporo
Period26/05/1929/05/19

Keywords

  • Compressed sensing
  • Energy efficiency
  • Rakeness
  • Time-mode
  • Time-mode signal processing
  • Ultra-low energy

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