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Communication Dans Un Congrès Année : 2020

LMF versus Combined LMS/F Algorithm for BRAN B channel Identification

Résumé

In this framework, a comparative study of Broadband Radio Access Networks (BRAN) channel identification is analyzed and discussed. Indeed, the selected adaptive algorithms, such as Least Mean Square (LMS), Least Mean Fourth (LMF) and combined (LMS/F), are applied to BRAN B channel model. The numerical simulation results ofvarious Signal-to-Noise Ratios (SNRs) and the parameters those are optimally chosen, show that the presented algorithms cansimulate the measured BRAN B channel with different accuracy levels.

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Dates et versions

hal-02974051 , version 1 (21-10-2020)

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  • HAL Id : hal-02974051 , version 1

Citer

Said Safi, M. Frikel, Mohamed Sabri, Mohammed Zidane. LMF versus Combined LMS/F Algorithm for BRAN B channel Identification. 2nd International Colloquium on Signal, Automatic Control and Telecommunications, Centre pour la Communication Scientifique Directe, Jun 2020, CAEN, France. pp.326441. ⟨hal-02974051⟩
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