Turbo decision aided reconstruction of clipping noise in coded OFDM

High peak average to power ratio (PAPR) is one of the main drawback of the OFDM systems currently used in high rate communication standards. One way to reduce PAPR consists in clipping the amplitude of the OFDM signals introducing an additional noise that degrades the system performances. This work presents two iterative reconstruction algorithms of the clipped samples in coded OFDM systems in presence of channel noise. These two algorithms combine, a classical DAR procedure with an iterative decoding of the channel code in a turbo-like way.