Title :
Iterative estimation and cancellation of clipping noise for OFDM signals
Author :
Chen, Hangjun ; Haimovich, Alexander M.
Author_Institution :
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
fDate :
7/1/2003 12:00:00 AM
Abstract :
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.
Keywords :
4G mobile communication; IEEE standards; OFDM modulation; broadband networks; interference suppression; iterative methods; mobile computing; wireless LAN; 4G broadband wireless communications; IEEE 802.11a; OFDM signals; PAPR; clipping noise; clipping noise cancellation; iterative estimation; orthogonal frequency division multiplexing; peak-to-average power ratio; system performance; Additive white noise; Bandwidth; Chromium; Gaussian noise; Noise cancellation; Nonlinear distortion; OFDM; Peak to average power ratio; Signal processing; Signal to noise ratio;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2003.814720
