DocumentCode :
3423873
Title :
Mixed-signal micro-controller for non-binary capacitor array calibration in data converter
Author :
Gan, Jianhua ; Page, Joel ; Abraham, Jacob
Volume :
2
fYear :
2002
fDate :
3-6 Nov. 2002
Firstpage :
1046
Abstract :
A mixed-signal micro-controller architecture is used to efficiently implement a novel non-binary capacitor array calibration algorithm for a successive approximation charge-redistribution data converter. The non-binary capacitor array calibration algorithm is based on a simple perceptron learning rule, originally developed for Artificial Intelligence applications. The digital capacitor weights are calibrated with up to 22-bit accuracy that is better than the noise level in the system. The resolution of the data converter is no longer limited by the capacitor array matching. The mixed-signal micro-controller is portable, scalable, and seamlessly handles the converter´s analog and digital datapaths.
Keywords :
analogue-digital conversion; calibration; capacitors; instruction sets; learning (artificial intelligence); microcontrollers; 22 bit; analog datapaths; artificial intelligence applications; capacitor array matching; data converter resolution; digital capacitor weights; digital datapaths; instruction set; mixed-signal microcontroller architecture; nonbinary capacitor array calibration algorithm; perceptron learning rule; successive approximation charge-redistribution data converter; Adaptive arrays; Artificial intelligence; Calibration; Capacitance; Capacitors; Computer architecture; Gallium nitride; Jacobian matrices; Logic arrays; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
ISSN :
1058-6393
Print_ISBN :
0-7803-7576-9
Type :
conf
DOI :
10.1109/ACSSC.2002.1196943
Filename :
1196943
Link To Document :
بازگشت