Low-complexity data decoding using binary phase detection in SLM-OFDM systems

S.A. Adegbite, S.G. McMeekin, B.G. Stewart

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

High computational complexity associated with maximum-likelihood (ML) data decoding in orthogonal frequency division multiplexing (OFDM) systems that use selected mapping (SLM) for the reducing peak-to-average power ratio (PAPR) can be significantly reduced using modified SLM and data decoding techniques presented in this Letter. Simulations show that the proposed method achieves similar PAPR reduction capability and data recovery performance compared with standard SLM (with perfect data recovery) and an ML detection scheme.
Original languageEnglish
Pages (from-to)560-562
Number of pages3
JournalElectronics Letters
Volume50
Issue number7
DOIs
Publication statusPublished - 27 Mar 2014
Externally publishedYes

Keywords

  • decoding
  • orthogonal frequency division multiplexing
  • telecommunication systems
  • data decoding
  • data recovery
  • ML detections
  • orthogonal frequency division multiplexing systems
  • PAPR reduction
  • peak to average power ratio
  • data reduction

Fingerprint Dive into the research topics of 'Low-complexity data decoding using binary phase detection in SLM-OFDM systems'. Together they form a unique fingerprint.

Cite this