Impulse noise correction in Hiperlan 2: improvement of the decoding algorithm and application to PAPR reduction

In this contribution, we propose a cascade structure to improve the impulse noise cancellation algorithm that we have already presented in F. Abdelkefi, P. Duhamel and F. Alberge [2002]. The new structure of this decoding algorithm is easy to implement and reliable (several parameters can be obtained theoretically rather than tuned experimentally). We also show that this decoding algorithm can be used for eliminating impulse noise and for reducing the peak-to-average power ratio (PAPR) level. The efficiency of this technique is corroborated by simulations in the practical context of Hiperlan2.

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