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

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

M. Fakhfakh, S. Masmoudi, Y. Cooren, M. Loulou, P. Siarry
Copyright: © 2010 |Volume: 1 |Issue: 2 |Pages: 16
ISSN: 1947-8283|EISSN: 1947-8291|EISBN13: 9781609604264|DOI: 10.4018/jamc.2010040102
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MLA

Fakhfakh, M., et al. "Improving Switched Current Sigma Delta Modulators' Performances via the Particle Swarm Optimization Technique." IJAMC vol.1, no.2 2010: pp.18-33. http://doi.org/10.4018/jamc.2010040102

APA

Fakhfakh, M., Masmoudi, S., Cooren, Y., Loulou, M., & Siarry, P. (2010). Improving Switched Current Sigma Delta Modulators' Performances via the Particle Swarm Optimization Technique. International Journal of Applied Metaheuristic Computing (IJAMC), 1(2), 18-33. http://doi.org/10.4018/jamc.2010040102

Chicago

Fakhfakh, M., et al. "Improving Switched Current Sigma Delta Modulators' Performances via the Particle Swarm Optimization Technique," International Journal of Applied Metaheuristic Computing (IJAMC) 1, no.2: 18-33. http://doi.org/10.4018/jamc.2010040102

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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.

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