On Iterative Compensation of Clipping Distortion in OFDM Systems

Shansuo Liang; Jun Tong; Ping Li

doi:10.1109/LWC.2018.2874935

On Iterative Compensation of Clipping Distortion in OFDM Systems

Shansuo Liang^*, Jun Tong, Ping Li

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

16 Citations (Scopus)

Abstract

We consider an iterative compensation (IC) method to treat clipping distortion in orthogonal frequency division multiplexing (OFDM) systems with clipping. A conventional approach is using extrinsic information (EI) from a decoder to estimate and cancel clipping distortion iteratively. In this letter, feedback in the form of a posteriori information (API) from the decoder is investigated. Correlation may be introduced among messages in iterative processing when API is directly used as feedback. We show that carefully choosing a linearization model can suppress such correlation. Simulation results show that the API approach outperforms the EI one.

Original language	English
Pages (from-to)	436-439
Journal	IEEE Wireless Communications Letters
Volume	8
Issue number	2
Online published	9 Oct 2018
DOIs	https://doi.org/10.1109/LWC.2018.2874935
Publication status	Published - Apr 2019

Research Keywords

clipping
Correlation
Decoding
decorrelation
iterative compensation
Iterative decoding
linearization
Nonlinear distortion
OFDM
Peak to average power ratio

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RGC-funded

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10.1109/LWC.2018.2874935

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title = "On Iterative Compensation of Clipping Distortion in OFDM Systems",

abstract = "We consider an iterative compensation (IC) method to treat clipping distortion in orthogonal frequency division multiplexing (OFDM) systems with clipping. A conventional approach is using extrinsic information (EI) from a decoder to estimate and cancel clipping distortion iteratively. In this letter, feedback in the form of a posteriori information (API) from the decoder is investigated. Correlation may be introduced among messages in iterative processing when API is directly used as feedback. We show that carefully choosing a linearization model can suppress such correlation. Simulation results show that the API approach outperforms the EI one.",

keywords = "clipping, Correlation, Decoding, decorrelation, iterative compensation, Iterative decoding, linearization, Nonlinear distortion, OFDM, Peak to average power ratio",

author = "Shansuo Liang and Jun Tong and Ping Li",

year = "2019",

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doi = "10.1109/LWC.2018.2874935",

language = "English",

volume = "8",

pages = "436--439",

journal = "IEEE Wireless Communications Letters",

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T1 - On Iterative Compensation of Clipping Distortion in OFDM Systems

AU - Liang, Shansuo

AU - Tong, Jun

AU - Li, Ping

PY - 2019/4

Y1 - 2019/4

N2 - We consider an iterative compensation (IC) method to treat clipping distortion in orthogonal frequency division multiplexing (OFDM) systems with clipping. A conventional approach is using extrinsic information (EI) from a decoder to estimate and cancel clipping distortion iteratively. In this letter, feedback in the form of a posteriori information (API) from the decoder is investigated. Correlation may be introduced among messages in iterative processing when API is directly used as feedback. We show that carefully choosing a linearization model can suppress such correlation. Simulation results show that the API approach outperforms the EI one.

AB - We consider an iterative compensation (IC) method to treat clipping distortion in orthogonal frequency division multiplexing (OFDM) systems with clipping. A conventional approach is using extrinsic information (EI) from a decoder to estimate and cancel clipping distortion iteratively. In this letter, feedback in the form of a posteriori information (API) from the decoder is investigated. Correlation may be introduced among messages in iterative processing when API is directly used as feedback. We show that carefully choosing a linearization model can suppress such correlation. Simulation results show that the API approach outperforms the EI one.

KW - clipping

KW - Correlation

KW - Decoding

KW - decorrelation

KW - iterative compensation

KW - Iterative decoding

KW - linearization

KW - Nonlinear distortion

KW - OFDM

KW - Peak to average power ratio

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85054605097&origin=recordpage

U2 - 10.1109/LWC.2018.2874935

DO - 10.1109/LWC.2018.2874935

M3 - RGC 21 - Publication in refereed journal

SN - 2162-2337

VL - 8

SP - 436

EP - 439

JO - IEEE Wireless Communications Letters

JF - IEEE Wireless Communications Letters

IS - 2

ER -

On Iterative Compensation of Clipping Distortion in OFDM Systems

Abstract

Research Keywords

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GRF: Message-Passing Detection in Dense Systems

Iterative Signal Processing in Communication Systems based on AMP-type Algorithms

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On Iterative Compensation of Clipping Distortion in OFDM Systems

Abstract

Research Keywords

RGC Funding Information

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Projects

GRF: Message-Passing Detection in Dense Systems

Student theses

Iterative Signal Processing in Communication Systems based on AMP-type Algorithms

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