LDPC-coded optical communication over the atmospheric turbulence channel

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

4 Scopus citations

Abstract

The free-space optical (FSO) systems that are robust in the presence of atmospheric turbulence are discussed in this invited paper: (i) coded orthogonal frequency division multiplexing (OFDM), and (ii) coded multiple-input multipleoutput (i.e., multi-laser multi-detector or MIMO) concept; both employing low-density parity-check (LDPC) codes. Two MIMO concepts are discussed: (i) repetition-MIMO, and (ii) space-time coded-MIMO. The second goal of this paper is to discuss the incompatibility that arises from the bandwidth mismatch between RF/microwave and optical channels. We describe two coded modulation schemes suitable for hybrid microwave-optical communications: (i) coded-OFDM as multiplexing technique, and (ii) Q-ary bit-interleaved coded pulse-amplitude modulation. The third goal of this paper is to describe the ultimate channel capacity limits, and to see how close we can approach those limits with proposed coded-MIMO concepts.

Original languageEnglish (US)
Title of host publicationConference Record of the 41st Asilomar Conference on Signals, Systems and Computers, ACSSC
Pages1903-1909
Number of pages7
DOIs
StatePublished - 2007
Event41st Asilomar Conference on Signals, Systems and Computers, ACSSC - Pacific Grove, CA, United States
Duration: Nov 4 2007Nov 7 2007

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other41st Asilomar Conference on Signals, Systems and Computers, ACSSC
Country/TerritoryUnited States
CityPacific Grove, CA
Period11/4/0711/7/07

Keywords

  • Atmospheric turbulence
  • Direct detection
  • Free-space optical (FSO) communications
  • Low-density parity-check (LDPC) codes
  • Multiple-input multiple output (MIMO)
  • Orhtogonal frequency division multiplexing (OFDM)
  • Space-time coding

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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