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              <p>This paper presents a blind modulation recognition method for quadrature amplitude modulation (QAM) signals,which are broadly used in OFDM wireless communication systems. The proposed method takes the constellation based recognition approach, using a subtractive clustering algorithm. The principal component analysis allows noise-reduction and signal length reduction in over-sampled use cases, as it estimates leftover noise power, that information is used to perform said subtractive clustering. Subsequently a simple two-step classification exploits both the number of estimated cluster centers and their position in the complex plane to infer modulation scheme. Simulation results shows faster computing and better performance than similar methods, while using less free parameters.</p>
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              <p>-Ce papier présente un algorithme de reconnaissance aveugle d'ordre de modulation pour signaux à modulation d'amplitude en quadrature (QAM), fréquemment utilisés pour les communications sans-fil OFDM. La méthode proposée se base sur une méthode de reconnaissance de constellation, utilisant un algorithme de partitionnement soustractif. Une analyse en composante principale permet une réduction de bruit et une réduction de longueur du signal lorsqu'il est sur-échantillonné, ainsi qu'une estimation du bruit résiduel, cette information est utilisée pour effectuer un partitionnement soustractif. Enfin une classification en deux étapes exploite le nombre de groupes estimés ainsi que leur position dans le plan complexe pour inférer le schéma de modulation. Les résultats de simulation montrent que l'algorithme proposé permet de meilleures performances que l'état de l'art, en utilisant moins de paramètres libres.</p>
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