Effects of noise and nonlinearity on the calibration of a non-binary capacitor array in a successive approximation analog-to-digital converter

Authors:
Jianhua Gan;Shouli Yan;Jacob Abraham
Affiliations:
Cirrus Logic, Inc., Austin, TX;The University of Texas at Austin, Austin, TX;The University of Texas at Austin, Austin, TX
Venue:
Proceedings of the 2004 Asia and South Pacific Design Automation Conference
Year:
2004

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Abstract

A successive approximation analog-to-digital converter using a non-binary capacitor array is presented. A perceptron learning rule is used as the capacitor calibration algorithm. The nonlinearity is analyzed using the Volterra series. The effects of noise and nonlinearity are modeled to verify the calibration robustness. With the presence of noise and nonlinearity, the capacitor weights are adaptively calibrated to match the physical capacitors with better than 22-bit accuracy. The accuracy is no longer limited by capacitor matching.