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

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

doi:10.1049/el.2013.4030

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 journal › Article › peer-review

14 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 language	English
Pages (from-to)	560-562
Number of pages	3
Journal	Electronics Letters
Volume	50
Issue number	7
DOIs	https://doi.org/10.1049/el.2013.4030
Publication status	Published - 27 Mar 2014
Externally published	Yes

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

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10.1049/el.2013.4030

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title = "Low-complexity data decoding using binary phase detection in SLM-OFDM systems",

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.",

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AU - Adegbite, S.A.

AU - McMeekin, S.G.

AU - Stewart, B.G.

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PY - 2014/3/27

Y1 - 2014/3/27

N2 - 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.

AB - 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.

KW - decoding

KW - orthogonal frequency division multiplexing

KW - telecommunication systems

KW - data decoding

KW - data recovery

KW - ML detections

KW - orthogonal frequency division multiplexing systems

KW - PAPR reduction

KW - peak to average power ratio

KW - data reduction

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SP - 560

EP - 562

JO - Electronics Letters

JF - Electronics Letters

IS - 7

ER -

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

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Keywords

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