Optical signal processing for wireless transmission

Tetsuya Kawanishi*

*Corresponding author for this work

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

Abstract

Millimeter-wave bands are attracting attention because of the availability of wideband for high-speed transmission. However, due to the limitation of the performance of electric signal processing, it is rather difficult to modulate and demodulate millimeter-wave signals with high-speed baseband modulation. In this paper, we describe optical signal processing for high-speed modulation of millimeter-wave, based on high-speed and precise lightwave control. In optical fiber communication systems, various types of modulation formats, such as quadrature-amplitude-modulation, are reported to achieve high-speed transmission. Optical two-tone signals can be converted into millimeter-wave signals by using high-speed photodetectors. This technique can be used for distribution of stable reference signals in large-scale antenna arrays for radio astronomy. By using the millimeter-wave signal generation technique and the optical advanced modulation formats, we can achieve high-speed modulation of millimeter-waves, where the carrier frequency and bit rate can be over 90GHz and 40Gb/s, respectively.

Original languageEnglish
Title of host publicationBroadband Access Communication Technologies VI
DOIs
Publication statusPublished - 2012 Feb 13
Externally publishedYes
EventBroadband Access Communication Technologies VI - San Francisco, CA, United States
Duration: 2012 Jan 242012 Jan 26

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8282
ISSN (Print)0277-786X

Other

OtherBroadband Access Communication Technologies VI
Country/TerritoryUnited States
CitySan Francisco, CA
Period12/1/2412/1/26

Keywords

  • Microwave
  • Millimeter-wave
  • Optical modulation
  • Optical modulator
  • Sideband

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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