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

Saheed Adegbite, Scott McMeekin, Brian Stewart

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)


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
Issue number7
Publication statusPublished - Apr 2014


  • data decoding
  • data recovery
  • OFDM modulation


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