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Communication Dans Un Congrès Année : 2013

MC-CDMA System Identification and Equalization Using the LMS Algorithm and Takagi-Sugeno Fuzzy System

Résumé

In this paper we are focused on the Multi-Carrier Code Division Multiple Access (MC-CDMA) equalization problem. The equalization is performed using the Minimum Mean Square Error (MMSE) and Zero Forcing (ZF) equalizer based on the identi ed parameters 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). These channels are normalized 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 di erent time delays. The identi cation 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 identi cation, will be made for di erent Signal to Noise Ratios (SNR).
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hal-01057707 , version 1 (25-08-2014)

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  • HAL Id : hal-01057707 , version 1

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Said Safi, Miloud Frikel, Mathieu Pouliquen. MC-CDMA System Identification and Equalization Using the LMS Algorithm and Takagi-Sugeno Fuzzy System. 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing (ALCOSP'2013),, Jul 2013, Caen, France. ⟨hal-01057707⟩
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