Channel Mismatches Estimation in Time-Interleaved ADCs Based on Input Dependent Estimating Model

Time-interleaved Analog-to-Digital Converter (TIADC) is an efficient way to achieve higher sampling rates for medium-to-high resolution applications. However, the performance of a TIADC suffers from mismatch errors among the sub-channels. This paper presents a method to estimate the channel mismatch errors using the sub-channels' output data. The proposed method introduces an input dependent estimating model (IDEM) based on an equivalent transfer function including the mismatch errors to calculate the standard deviation of the mismatch errors. The spurious-free dynamic range (SFDR) is then evaluated by applying multi-tone sinusoids signal to input. The simulated results show that the method in this work can get about 45dB SFDR enhancement.