Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

An Approach for Characterizing the Frequency Response of Sampling-Oscilloscopes Using a Large-Signal Network Analyzer

Published

Author(s)

Alirio De Jesus Soares Boaventura, Dylan Williams, Paul D. Hale, Avolio Gustavo

Abstract

We propose an approach for characterizing the complex frequency response of sampling- oscilloscopes using a calibrated large-signal network analyzer (LSNA) and a broadband pulse source. First, we perform a full wave-parameter calibration of the LSNA using its internal CW sources. Then, we replace the internal CW sources with an external broadband pulse source and we measure it with the calibrated LSNA and with the oscilloscope under-test connected to the LSNA test port. The complex frequency response of the oscilloscope's sampler is derived in the frequency domain as the ratio of the oscilloscope signal to the calibrated LSNA signal. We achieve less than 0.7 dB amplitude difference and less than 5 degrees phase difference up to 45 GHz, compared to the previous NIST EOS characterization of the same sampler.
Proceedings Title
International Microwave Symposium Digest, 2019
Conference Dates
June 2-7, 2019
Conference Location
Boston, MA, US
Conference Title
2019 International Microwave Symposium

Keywords

Sampling-oscilloscopes, complex frequency response, LSNA, standard transfer

Citation

Soares Boaventura, A. , Williams, D. , Hale, P. and Gustavo, A. (2019), An Approach for Characterizing the Frequency Response of Sampling-Oscilloscopes Using a Large-Signal Network Analyzer, International Microwave Symposium Digest, 2019, Boston, MA, US, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=927381 (Accessed April 25, 2024)
Created June 1, 2019, Updated April 14, 2022