Evaluation of S-Parameters Similarity with Modified Hausdorff Distance
Yuriy Shlepnev
TL;DR
This paper introduces a novel similarity measure for S-parameters using the modified Hausdorff distance in 3D space, enhancing automation in measurement validation and model comparison.
Contribution
It proposes a new similarity metric for S-parameters based on the modified Hausdorff distance, enabling improved automation and comparison in RF and microwave engineering.
Findings
Effective in automating measurement validation
Facilitates comparison of models and measurements
Identifies similar S-parameter models or elements
Abstract
A new similarity measure for two sets of S-parameters is proposed. It is constructed with the modified Hausdorff distance applied to S-parameter points in 3D space with real, imaginary and normalized frequency axes. New S-parameters similarity measure facilitates automation of the analysis to measurement validation, comparison of models and measurements obtained with different tools, as well as finding similar S-parameter models or similar elements within S-matrices.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.