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Iterative estimation and cancellation of clipping noise for OFDM signals

Clipping is an efficient and simple method to reduce the peak-to-average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) signals. However, clipping causes distortion and out-of-band radiation. In this letter, a novel iterative receiver is proposed to estimate and cancel the d...

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Published in:	IEEE communications letters 2003-07, Vol.7 (7), p.305-307
Main Authors:	Hangjun Chen, Haimovich, A.M.
Format:	Article
Language:	English
Subjects:	Additive white noise Applied sciences Bandwidth Cancellation Chromium Clipping Distortion Exact sciences and technology Gaussian noise Information, signal and communications theory Multiplexing Noise Noise cancellation Noise levels Nonlinear distortion OFDM Orthogonal Frequency Division Multiplexing Peak to average power ratio Receivers Signal and communications theory Signal processing Signal to noise ratio Simulation Telecommunications and information theory
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description	Clipping is an efficient and simple method to reduce the peak-to-average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) signals. However, clipping causes distortion and out-of-band radiation. In this letter, a novel iterative receiver is proposed to estimate and cancel the distortion caused by clipping noise. The proposed method is applied to clipped and filtered OFDM signals. It is shown by simulation that for an IEEE 802.11a typical scenario the system performance can be restored to within 1 dB of the nonclipped case with only moderate complexity increase and with no bandwidth expansion.
doi_str_mv	10.1109/LCOMM.2003.814720
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source	IEEE Electronic Library (IEL) Journals
subjects	Additive white noise Applied sciences Bandwidth Cancellation Chromium Clipping Distortion Exact sciences and technology Gaussian noise Information, signal and communications theory Multiplexing Noise Noise cancellation Noise levels Nonlinear distortion OFDM Orthogonal Frequency Division Multiplexing Peak to average power ratio Receivers Signal and communications theory Signal processing Signal to noise ratio Simulation Telecommunications and information theory
title	Iterative estimation and cancellation of clipping noise for OFDM signals
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