Quantum Enabled Radar Sensing

Jonathan M. Jones*, Darren Griffiths, Jithin Kannanthara, Mohammed Jahangir, Michail Antoniou, Christopher Baker, Kai Bongs, Yeshpal Singh

*Corresponding author for this work

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

Abstract

We present a quantum enabled networked radar system that incorporates an optical atomic clock to provide the radar systems with both an ultra-low noise oscillator and time synchronization. Characterization of the photonic microwave generator against traditional oscillators currently used in the radar systems is presented. Near-future developments of the radar network are discussed.

Original languageEnglish
Title of host publication2022 IEEE International Topical Meeting on Microwave Photonics (MWP)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages4
ISBN (Electronic)9781665421218
ISBN (Print)9781665421225 (PoD)
DOIs
Publication statusPublished - 29 Dec 2022
Event2022 IEEE International Topical Meeting on Microwave Photonics, MWP 2022 - Orlando, United States
Duration: 3 Oct 20227 Oct 2022

Publication series

NameIEEE International Topical Meeting on Microwave Photonics
PublisherIEEE
ISSN (Print)2835-3501
ISSN (Electronic)2768-346X

Conference

Conference2022 IEEE International Topical Meeting on Microwave Photonics, MWP 2022
Country/TerritoryUnited States
CityOrlando
Period3/10/227/10/22

Bibliographical note

Funding Information:
This work was in part supported by UK National Quantum Technology Hub in Sensing and Timing (Project EP/ T001046/1), European Union’s Horizon 2020 research and innovation programme (820404 – iqCclock project), BAE Systems iCASE PhD and DSTL for funding DG’s PhD. Authors would also like to thank Aveillant Limited for their support with the radar system

Publisher Copyright:
© 2022 IEEE.

Keywords

  • frequency combs
  • networked
  • optical clocks
  • phase noise
  • quantum clocks
  • Quantum technology
  • radar
  • synchronization

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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