Propagation of Linear Uncertainties through Multiline Thru-Reflect-Line Calibration

Abstract

This study proposes a linear approach for propagating uncertainties in the multiline thru-reflect-line (TRL) calibration method for vector network analyzers. The multiline TRL formulation we are proposing applies the law of uncertainty propagation as outlined in the ISO Guide to the Expression of Uncertainty in Measurement (GUM) to both measurement and model uncertainties. In addition, we conducted a Monte Carlo analysis using a combination of measured and synthetic data to model various uncertainties, such as additive noise, reflect asymmetry, line mismatch, and line length offset. The results of our linear uncertainty formulation demonstrate agreement with the Monte Carlo method and provide a more efficient means of assessing the uncertainty budget of the multiline TRL calibration.

GitHub: https://github.com/ZiadHatab/uncertainty-multiline-trl-calibration

References in corpus (1)

• Propagation of Measurement and Model Uncertainties through Multiline TRL Calibration

Cited by in corpus (5)

• A Thru-free Multiline Calibration
• Propagation Constant Measurement Based on a Single Transmission Line Standard Using a Two-port VNA
• Symmetric-Reciprocal-Match Method for Vector Network Analyzer Calibration
• Indirect Measurement of Switch Terms of a Vector Network Analyzer with Reciprocal Devices
• Validation of the Reference Impedance in Multiline Calibration with Stepped Impedance Standards