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Please use this identifier to cite or link to this item: http://dyuthi.cusat.ac.in/purl/4516

Title: GA-based Optimization of a Fourth-order Sigma-delta Modulator for WLAN
Authors: Mythili, P
Babita, Jose R
Mathew, J
Ramesan, R
Issue Date: 12-Oct-2008
Publisher: IEEE
Abstract: Over-sampling sigma-delta analogue-to-digital converters (ADCs) are one of the key building blocks of state of the art wireless transceivers. In the sigma-delta modulator design the scaling coefficients determine the overall signal-to-noise ratio. Therefore, selecting the optimum value of the coefficient is very important. To this end, this paper addresses the design of a fourthorder multi-bit sigma-delta modulator for Wireless Local Area Networks (WLAN) receiver with feed-forward path and the optimum coefficients are selected using genetic algorithm (GA)- based search method. In particular, the proposed converter makes use of low-distortion swing suppression SDM architecture which is highly suitable for low oversampling ratios to attain high linearity over a wide bandwidth. The focus of this paper is the identification of the best coefficients suitable for the proposed topology as well as the optimization of a set of system parameters in order to achieve the desired signal-to-noise ratio. GA-based search engine is a stochastic search method which can find the optimum solution within the given constraints.
Description: Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
URI: http://dyuthi.cusat.ac.in/purl/4516
Appears in Collections:P Mythili

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