← 返回 JSSC 论文列表JSSC 2014第8期Data Converters0.13μm
Blind Calibration Algorithm for Nonlinearity Correction Based on Selective Sampling Manideep Gande, Student Member , IEEE, Hariprasath V enkatram, Member , IEEE, Ho-Y oung Lee
提出一种无需外部校准信号的首创盲校准算法，用于抑制ADC中的非线性失真。
0.13μm CMOS, SNDR提升39dB, SFDR提升45dB
盲校准非线性校正ADC下采样正交信号
▸首创无需外部校准信号的盲校准算法
▸利用下采样和正弦信号正交性估计非线性系数
▸可同时消除偶次和奇次非线性失真
Abstract
This paper proposes a blind calibration algorithm for suppressing nonlinearity in analog-to-digital converters (ADCs). The proposed algorithm does not need any external calibration signal and is first of its kind. The proposed algorithm relies on the properties of downsampling and orthogonality of sinusoidal sig- nals to estimate the nonlinearity coef ficients present in the system and can be operated to remove even and odd order nonlinearities simultaneously. The working of th e algorithm is demonstrated on a first-order ring oscillator based ADC, whose performance is limited due to the nonlinearity present in its system. Built in 0.13 m CMOS, the algorithm improves the SNDR of the ADC by 39 dB, while improving SFDR by 45 dB.