The random component of mixer-based nonlinear vector network analyzer measurement uncertainty

Peter Stuart Blockley*, Jonathan Brereton Scott, Daniel Gunyan, Anthony Edward Parker

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)
40 Downloads (Pure)

Abstract

The uncertainty, due to random noise, of the measurements made with a mixer-based nonlinear vector network analyzer are analyzed. An approximate covariance matrix corresponding to the measurements is derived that can be used for fitting models and maximizing the dynamic range in the measurement setup. The validity of the approximation is verified with measurements.

Original languageEnglish
Pages (from-to)2231-2239
Number of pages9
JournalIEEE Transactions on Microwave Theory and Techniques
Volume55
Issue number10
DOIs
Publication statusPublished - Oct 2007

Bibliographical note

Copyright 2007 IEEE. Reprinted from IEEE transactions on microwave theory and techniques. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Keywords

  • nonlinear systems
  • phase measurement
  • uncertainty

Fingerprint

Dive into the research topics of 'The random component of mixer-based nonlinear vector network analyzer measurement uncertainty'. Together they form a unique fingerprint.

Cite this