A low complexity SI sequence estimator for pilot-aided SLM–OFDM systems

Saheed A. Adegbite*, Scott G. McMeekin, Brian G. Stewart

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)
105 Downloads (Pure)


Selected mapping (SLM) is a well-known method for reducing peak-to-average power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) systems. However, as a consequence of implementing SLM, OFDM receivers often require estimation of some side information (SI) in order to achieve successful data recovery. Existing SI estimation schemes have very high computational complexities that put additional constraints on limited resources and increase system complexity. To address this problem, an alternative SLM approach that facilitates estimation of SI in the form of phase detection is presented. Simulations show that this modified SLM approach produces similar PAPR reduction performance when compared to conventional SLM. With no amplifier distortion and in the presence of non-linear power amplifier distortion, the proposed SI estimation approach achieves similar data recovery performance as both standard SLM-OFDM (with perfect SI estimation) and also when SI estimation is implemented through the use of an existing frequency domain correlation (FDC) decision metric. In addition, the proposed method significantly reduces computational complexity compared with the FDC scheme and an ML estimation scheme.
Original languageEnglish
Pages (from-to)1267–1274
Number of pages8
JournalAEU - International Journal of Electronics and Communications
Issue number9
Early online date14 Jul 2016
Publication statusPublished - Sep 2016


  • OFDM
  • PAPR Reduction
  • Selected Mapping
  • Side-information Detection


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