The LMS algorithm and The Takagi-Sugeno Fuzzy System in the Selective Channels Identification

Saïd Safi (1) , Miloud Frikel (2) , Mathieu Pouliquen (2) , B. Bouikhalne (1) , A. Boumezough (1)

1 LIRST Laboratory - Sultan Moulay Slimane University - Maroc
2 Equipe Automatique - Laboratoire GREYC - UMR6072

Abstract--A very high-speed wireless access of 100 Mb/s to 1 Gb/s is required for fourth-generation mobile communication systems. However, for such high-speed data transmissions, the channel is severely frequency-selective due to the presence of many interfering paths with different time delays. In this paper we discusses the identification problem of the normalized channel for 4th generation mobile communication, representing the indoor scenario ( European Telecommunications Standards Institute Broadband Radio Access Networks (ETSI BRAN A) channel model) and outdoor scenario (ETSI BRAN E channel model). The identification problem is performed using the Least Mean Squares (LMS) algorithm and the Takagi-Sugueno (TS) fuzzy system. The comparison between these techniques, for the channel identification, will be made for different Signal to Noise Ratios (SNR).

Mots clés: LMS algorithm; Takagi-Sugeno Fuzzy System; Selective radio Communication Channels; System identification

Domaines: Automatique; Automatique / Robotique

Saïd Safi, Miloud Frikel, Mathieu Pouliquen, B. Bouikhalne, A. Boumezough. The LMS algorithm and The Takagi-Sugeno Fuzzy System in the Selective Channels Identification. IEEE International Conference on Complex Systems (ICCS'12), Nov 2012, Agadir, Morocco. 6p. ⟨hal-01063126⟩