System identification for data acquisition characterization

This paper describes a robust and efficient identification algorithm to identify the nonlinear distortion and the time base distortion of a data acquisition channel using sine wave measurements. The proposed method is compared with existing methods using simulations. Its applicability is demonstrated on measurements of high frequency sampling scopes.

[1]  Rik Pintelon,et al.  An improved sine-wave fitting procedure for characterizing data acquisition channels , 1995 .

[2]  Yves Rolain,et al.  Maximum likelihood estimation of errors-in-variables models using a sample covariance matrix obtained from small data sets , 1997 .

[3]  Dov Wulich,et al.  Order estimation of linear time invariant system , 1986 .

[4]  J. B. Rettig,et al.  Picosecond time interval measurements , 1995 .

[5]  J. P. Norton,et al.  An Introduction to Identification , 1986 .

[6]  Gerd Vandersteen,et al.  A sinewave fitting procedure for characterizing data acquisition channels in the presence of time base distortion and time jitter , 1996 .

[7]  Yves Rolain,et al.  Signal reconstruction for nonequidistant finite length sample sets: a "KIS" approach , 1998, IMTC/98 Conference Proceedings. IEEE Instrumentation and Measurement Technology Conference. Where Instrumentation is Going (Cat. No.98CH36222).

[8]  Yves Rolain,et al.  Signal reconstruction for non-equidistant finite length sample sets: a "KIS" approach , 1998, IEEE Trans. Instrum. Meas..

[9]  R. Fletcher.  Practical Methods of Optimization , 1988 .

[10]  Gerd Vandersteen,et al.  General framework for asymptotic properties of generalized weighted nonlinear least-squares estimators with deterministic and stochastic weighting , 1996, IEEE Trans. Autom. Control..

[11]  Gerd Vandersteen,et al.  Frequency-domain system identification using non-parametric noise models estimated from a small number of data sets , 1997, Autom..

[12]  J. Cadzow,et al.  Signal processing via least squares error modeling , 1990, IEEE ASSP Magazine.

[13]  J. Schoukens,et al.  Model selection through a statistical analysis of the global minimum of a weighted non-linear least squares cost function , 1996, Proceedings of 35th IEEE Conference on Decision and Control.

[14]  Yves Rolain,et al.  Order estimation for linear time-invariant systems using frequency domain identification methods , 1997, IEEE Trans. Autom. Control..

[15]  Gerd Vandersteen,et al.  Model selection through a statistical analysis of the global minimum of a weighted nonlinear least squares cost function , 1997, IEEE Trans. Signal Process..

[16]  R. Jennrich.  Asymptotic Properties of Non-Linear Least Squares Estimators , 1969 .