MIMO Detection Algorithm for Metaheuristic Maximum-Likelihood

Abdessalem Trimeche(1*), Afef Ben Abdallah(2), Anis Sakly(3), Abdellatif Mtibaa(4)

(1) National Engineering School of Monastir (ENIM), Tunisia
(2) National Engineering School of Monastir (ENIM), Tunisia
(3) National Engineering School of Monastir (ENIM), Tunisia
(4) National Engineering School of Monastir (ENIM), Tunisia
(*) Corresponding author


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Abstract


For multiple-input multiple-output (MIMO) systems, the optimum maximum likelihood (ML) detection requires tremendous complexity as the number of antennas or modulation level increases. This paper proposes a new algorithm which attains the ML performance with significantly reduced complexity Based on the metaheuristic algorithm HISD (Hyperplane Intersection and Selection Detector). We apply a new type of cost function and give an efficient calculation algorithm. This detection is determinate from the diversification and the intensification methods.
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Keywords


MIMO; ZF; ML; MMSE; BER; SNR

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References


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