Les tests en cascade pour la correction des erreurs impulsives et la réduction du PAPR dans le contexte d'Hiperlan2

In this contribution, we propose a cascade structure to improve the impulse noise cancellation algorithm that we have already presented in [6]. 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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