Channel mismatch estimation in time-interleaved ADCs based on input dependent estimating model

摘要

Time-interleaved Analog-to-Digital Converter (TIADC) is an efficient way to achieve higher sampling rates formedium-to-high resolution applications. However, the performance of a TIADC suffers from mismatch errors among thesub-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 functionincluding the mismatch errors to calculate the standard deviation of the mismatch errors. The spurious-free dynamicrange (SFDR) is then evaluated by applying multi-tone sinusoids signal to input. The simulated results show that themethod in this work can get about 45dB SFDR enhancement.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.