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GA-Based Optimization of Sigma-Delta Modulators for Wireless Transceivers

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Executive Summary

Over-sampling sigma-delta Analog-to-Digital Converters (ADCs) are one of the key building blocks of state of the art wireless transceivers. In sigma-delta modulator design, the scaling coefficients determine the peak 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 fourth-order multi-bit sigma-delta modulator suitable for Wireless Local Area Networks (WLAN) receivers with feed forward path and the optimum coefficients were 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.

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