Estimation of channel delay in analog-to-information converters

Abstract

Analog-to-Information Converter (AIC) is the physical implementation of Compressed Sensing (CS) systems to digitize signals directly from the analog domain. Due to non-idealities of components AIC hardware needs a calibration step to adjust parameters before its utilization. In this paper, we consider a theoretical linear model of an AIC architecture composed by parallel channels that suffers from synchronization problems between the input signal and the internal signals used to perform the measurement. Using a radar inspired technique we propose a method to estimate the delay between these signals. Obtained results show the accuracy of the proposed method and its potential to be used in AIC calibration techniques.