Orbital angular momentum (OAM) based LDPC-coded deep-space optical communication

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

5 Scopus citations

Abstract

Power-efficient modulation schemes such as PPM are widely adopted in deep-space optical communications. In order to achieve multi-gigabit transmission, the usage of large number of time slots in PPM is needed that imposes stringent requirements on system implementation. In this paper, we propose the use of orbital angular momentum (OAM) based LDPC-coded PPM as a means to satisfy high-bandwidth demands of future interplanetary communications while keeping system cost and power consumption reasonably low. Because OAM eigenstates are orthogonal, an arbitrary number of bits/photon can be transmitted. The main challenge for OAM based deep-space communication represents the link between a spacecraft probe and the Earth station because in the presence of atmospheric turbulence the orthogonality between OAM states is not longer preserved. We show that the proposed OAM based LDPC-coded PPM can operate under strong turbulence regime when used in combination with receiver spatial diversity.

Original languageEnglish (US)
Title of host publicationFree-Space Laser Communication Technologies XXIII
DOIs
StatePublished - 2011
EventFree-Space Laser Communication Technologies XXIII - San Francisco, CA, United States
Duration: Jan 26 2011Jan 27 2011

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7923
ISSN (Print)0277-786X

Other

OtherFree-Space Laser Communication Technologies XXIII
Country/TerritoryUnited States
CitySan Francisco, CA
Period1/26/111/27/11

Keywords

  • Atmospheric turbulence
  • Coded modulation
  • Deep-space optical communication
  • Forward error correction
  • Free-space optical communication
  • Low-density parity-check (LDPC) codes
  • Modulation
  • Orbital angular momentum (OAM)

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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