The dynamic calibration of digital storage oscilloscopes in noise environments

Author

Shize, Guo ; Yiqun, Zhang ; Shenghe, Sun

Author_Institution

Harbin Inst. of Technol., China

fYear

1994

fDate

10-12 May 1994

Firstpage

520

Abstract

The method for dynamic calibration of Digital Storage Oscilloscopes (DSO) in noise environment using parameter identification is proposed in this paper. By inputting the square-wave signal from the probe of the DSO, we can get the output data including the noise. Through least square parameter identification, the complex transfer function of the DSO may be estimated from the input and output data. Using a deconvolution algorithm, the effect of the transfer function can be calibrated. The simulations prove that the method is feasible

Keywords

calibration; digital storage oscilloscopes; parameter estimation; random noise; transfer functions; complex transfer function; deconvolution algorithm; digital storage oscilloscopes; dynamic calibration; least square parameter identification; noise; parameter identification; simulation; square wave signal; transfer function; Calibration; Deconvolution; Equations; Least squares approximation; Low pass filters; Oscilloscopes; Parameter estimation; Testing; Transfer functions; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 1994. IMTC/94. Conference Proceedings. 10th Anniversary. Advanced Technologies in I & M., 1994 IEEE

Conference_Location

Hamamatsu

Print_ISBN

0-7803-1880-3

Type

conf

DOI

10.1109/IMTC.1994.351904

Filename

351904