Optically implemented synchronized low frequency sampling methodology for filtering and recovery of noise embedded narrow band signals

Sagiv Benichou, Shlomo Zach, Meir Danino, Zeev Zalevsky

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Design and simulation of a novel photonic low-cost, uncomplicated and cheap tunable sub-millimeter wave receiving system for communication applications are presented. The receiver, capable of operating at 280-300 GHz band is based on low frequency sampling and filtering of narrow band signals embedded with strong white noise in submillimeter spectra using two synchronized low frequency trains (∼500 MHz) in order to down-convert and recover the high frequency THz signal under 10dB SNR. The system consists of standard optical devices (lenses, Joint-Transform Correlator and Kerr effect crystal). Before sampling, the received signal (including noise) should be time inverse using time inversion module and accumulated with itself. Using Joint-Transform Correlator, the time manipulated sampling is being correlated and Fourier transformed as a result the 280-300 GHz narrow-band signals can be identified and reconstructed.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems, COMCAS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
ISBN (Electronic)9781538631690
DOIs
StatePublished - 28 Jun 2017
Event2017 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems, COMCAS 2017 - Tel-Aviv, Israel
Duration: 13 Nov 201715 Nov 2017

Publication series

Name2017 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems, COMCAS 2017
Volume2017-November

Conference

Conference2017 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems, COMCAS 2017
Country/TerritoryIsrael
CityTel-Aviv
Period13/11/1715/11/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • Identification and reconstruction of high frequency RF signals
  • Microwave photonics

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