Open AccessLow‐complexity data decoding using binary phase detection in SLM‐OFDM systems
Author(s) -
Adegbite S.A.,
McMeekin S.G.,
Stewart B.G.
Publication year - 2014
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2013.4030
Subject(s) - decoding methods , orthogonal frequency division multiplexing , reduction (mathematics) , binary number , algorithm , computer science , multiplexing , binary data , computational complexity theory , phase (matter) , power (physics) , electronic engineering , mathematics , telecommunications , arithmetic , engineering , channel (broadcasting) , physics , geometry , quantum mechanics , chemistry , organic chemistry
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.