Title :
Adaptive Blind Background Calibration of Polynomial-Represented Frequency Response Mismatches in a Two-Channel Time-Interleaved ADC
Author :
Saleem, Shahzad ; Vogel, Christian
Author_Institution :
Signal Process. & Speech Commun. (SPSC) Lab., Graz Univ. of Technol., Graz, Austria
fDate :
6/1/2011 12:00:00 AM
Abstract :
This paper introduces an adaptive calibration structure for the blind calibration of frequency response mismatches in a two-channel time-interleaved analog-to-digital converter (TI-ADC). By representing frequency response mismatches as polynomials, we can exploit slight oversampling to estimate the coefficients of the polynomials by using the filtered-X least-mean square (FxLMS) algorithm. Utilizing the coefficients in an adaptive structure, we can compensate frequency response mismatches including time offset and bandwidth mismatches. We develop an analytical framework for the calibration structure and analyze its performance. We show the efficiency of the calibration structure by simulations, where we include examples from the literature.
Keywords :
analogue-digital conversion; calibration; frequency response; least mean squares methods; polynomials; FxLMS algorithm; adaptive blind background calibration; adaptive calibration structure; adaptive structure; bandwidth mismatches; blind calibration; filtered-X least-mean square algorithm; polynomial-represented frequency response mismatches; polynomials; slight oversampling; time offset; two-channel time-interleaved ADC; two-channel time-interleaved analog-to-digital converter; Adaptation model; Bandwidth; Biological system modeling; Calibration; Distortion; Frequency response; Polynomials; Blind calibration; filtered-X LMS; frequency response mismatches; polynomial representation; time-interleaved analog-to-digital converter;
Journal_Title :
Circuits and Systems I: Regular Papers, IEEE Transactions on
DOI :
10.1109/TCSI.2010.2094330