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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Bibliographic Details
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
Summary: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.
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2003.814720