Publications Scientifiques

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Author: search.filters.author.Bentarzi, HamidSubject: search.filters.subject.Genetic algorithms

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    Optimization of the compression systems using genetic algorithm
    (IEEE, 2016) Zammoum Boushaki, Razika; Kessal, Farida; Bentarzi, Hamid
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    Synthesis of linear arrays with sidelobe level reduction constraint using genetic algorithm
    (2008) Recioui, Abdelmadjid; Azrar, Arab; Bentarzi, Hamid; Dehmas, Mokrane; Chalal, Mouloud
    The synthesis of uniformly spaced linear array geometries with minimum sidelobe level and beamforming capability using genetic algorithms is presented. The iterative process aims not only at matching the desired pattern to the desired one but minimizing the sidelobe level as well; through optimizing the element excitations. Various examples are included to demonstrate the design effectiveness and flexibility namely for switched smart antenna systems applications
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    Genetic algorithm based MIMO capacity enhancement In spatially correlated channels including mutual coupling
    (Springer, 2012) Recioui, Abdelmadjid; Bentarzi, Hamid
    Higher system capacities can be achieved if multiple antennas are used on both sides of the wireless link, thus creating a multiple-input-multiple-output (MIMO) system. In this work, the maximization of MIMO system capacity in Rayleigh fading, spatially correlated channels involving practical antenna arrays is challenged through inter-element spacing optimization. The system capacity is evaluated using a proposed formula that takes into account both antenna mutual coupling and signal correlation. Capacity values turn out to outperform the ones obtained considering the conventional antenna array geometries