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System identification approach applied to drift estimation

Published

Author(s)

Tracy S. Clement, Frans Verbeyst, Rik Pintelon, Yves Rolain, Johan Schoukens

Abstract

A system identification approach is applied to estimate the time base drift introduced by a high-frequency sampling oscilloscope. First, a new least squares estimator is proposed to estimate the delay of a set of repeated measurements in the presence of additive and jitter noise. Next, the effect of both additive and jitter noise is studied in the frequency domain using simulations. Special attention is devoted to the covariance matrix of the experiments, which is used to construct a weighted least squares estimator that minimizes the uncertainty of the estimated delays. Comparative results with respect to other state-of-the-art methods are shown. Finally, the enhanced method is applied to estimate the drift observed in repeated impulse response measurements of an optoelectrical converter using an Agilent 83480A sampling oscilloscope in combination with a 83484A 50 GHz electrical plug-in.
Proceedings Title
Proc., IEEE Instrum. Meas. Tech. Conf.
Conference Dates
May 1-3, 2007
Conference Location
Warsaw, 1, PL

Keywords

large-signal network analysis, sampling oscilloscopes, time base distortion, time base jitter, system identification, time base drift

Citation

Clement, T. , Verbeyst, F. , Pintelon, R. , Rolain, Y. and Schoukens, J. (2007), System identification approach applied to drift estimation, Proc., IEEE Instrum. Meas. Tech. Conf., Warsaw, 1, PL, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=32476 (Accessed April 16, 2024)
Created April 30, 2007, Updated October 12, 2021