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Communication dans un congrès

LLMS Adaptive Beamforming Algorithm Implemented with Finite Precision

Jalal Abdulsayed Srar Kah-Seng Chung Ali Mansour 1
1 Lab-STICC_ENSTAB_CACS_COM ; IDM
STIC - Pôle STIC [Brest], Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : This paper studies the influence of the use of finite wordlength on the operation of the LLMS adaptive beamforming algorithm. The convergence behavior of LLMS algorithm, based on the minimum mean square error (MSE), is analyzed for operation with finite precision. Computer simulation results verify that a wordlength of eight bits is sufficient for the LLMS algorithm to achieve performance close to that provided by full precision. Based on the simulation results, it is shown that the LLMS algorithm outperforms least mean square (LMS) in addition to other earlier algorithms, such as, modified robust variable step size (MRVSS) and constrained stability LMS (CSLMS).
Type de document :
Communication dans un congrès
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https://hal-ensta-bretagne.archives-ouvertes.fr/hal-00773658
Contributeur : Annick Billon-Coat <>
Soumis le : lundi 14 janvier 2013 - 14:37:48
Dernière modification le : mercredi 24 juin 2020 - 16:19:22

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  • HAL Id : hal-00773658, version 1

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Jalal Abdulsayed Srar, Kah-Seng Chung, Ali Mansour. LLMS Adaptive Beamforming Algorithm Implemented with Finite Precision. TELFOR 2012, Nov 2012, Belgrade, Serbia. ⟨hal-00773658⟩

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