Improvement of the complex Reed Solomon decoding with application to impulse noise cancellation in Hiperlan2

In OFDM system, pilot tones are emitted for synchronization or channel estimation purposes. These pilot tones are generally scattered among the information ones. We have proved in [Fatma Abdelkefi et al., 2001] that pilot tones can be used as syndromes, in order to correct impulse noise. We propose in [Fatma Abdelkefi et al., 2001], a decoding algorithm in three steps: (1) estimate the number of impulse noise, (2) seek the location, and (3) correct the errors. Two control tests are introduced: the first is at the beginning of the decoding algorithm in order to detect the presence of impulsive noise and the second is introduced after the decoding operation in order to detect malfunction. In this paper, we explain these two tests which are based on the Bayes test and on syndrome vector. This approach is new in impulse noise cancellation in multi-carrier transmission. The efficiency of this technique is also corroborated with simulations in the practical context of Hiperlan2.