LMS based adaptive bit weights error extraction algorithm used in high resolution A/D converters

Abstract

A LMS (Least Mean Square) based adaptive bit weights error extraction algorithm used in A/D converters is presented in this paper. Only a sine wave input is needed, each bit weight error of the A/D converter (ADC) can be extracted by the presented algorithm by using the digital output of the ADC. The adaptive bit weights error extraction algorithm is used in an 18-bit ADC, the tested results show that, the SNR is improved by 17.4dB and the SFDR is improved by 18.4 dB after the ADC is calibrated by the extracted bit weights error.