Improving Switched Current Sigma Delta Modulators' Performances via the Particle Swarm Optimization Technique

M. Fakhfakh, S. Masmoudi, Y. Cooren, M. Loulou and P. Siarry
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M. Fakhfakh: University of Sfax, Tunisia
S. Masmoudi: University of Sfax, Tunisia
Y. Cooren: University of Paris, France
M. Loulou: University of Sfax, Tunisia
P. Siarry: University of Paris, France

International Journal of Applied Metaheuristic Computing (IJAMC), 2010, vol. 1, issue 2, 18-33

Abstract: This paper presents the optimal design of a switched current sigma delta modulator. The Multi-objective Particle Swarm Optimization technique is adopted to optimize performances of the embryonic cell forming the modulator, that is, a class AB grounded gate switched current memory cell. The embryonic cell was optimized regarding to its main performances such as sampling frequency and signal to noise ratio. The optimized memory cell was used to design the switched current modulator which operates at a 100 MHz sampling frequency and the output signal spectrum presents a 45.75 dB signal to noise ratio.

Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jamc00:v:1:y:2010:i:2:p:18-33

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International Journal of Applied Metaheuristic Computing (IJAMC) is currently edited by Peng-Yeng Yin

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