matlab-deembed-rf-cascade

Cascade and de-embed RF S-parameter networks using MATLAB RF Toolbox functions.

883|109|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/matlab/matlab-agentic-toolkit --skill matlab-deembed-rf-cascade
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: matlab-deembed-rf-cascade
Source: https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/rf-and-mixed-signal/matlab-deembed-rf-cascade
Command: npx skills add https://github.com/matlab/matlab-agentic-toolkit --skill matlab-deembed-rf-cascade

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you accurately cascade RF/microwave S-parameter networks in series and remove fixture effects from measured DUT data so you can recover the true device response.

Core Features & Use Cases

  • Cascading (series chaining): Compute end-to-end S-parameters for two or more RF blocks connected in series using cascadesparams.
  • De-embedding (fixture removal): Remove one or two fixture networks from a measured chain using deembedsparams to extract the DUT.
  • Frequency/impedance correctness: Guide you to align frequency vectors and ensure consistent reference impedance before cascading or de-embedding to avoid common errors.

Use case: You measured a DUT with adapters/cables/fixtures and want to recover the DUT’s S21 by simulating the measurement chain (fixture1 + DUT + fixture2) and then de-embedding both fixtures.

Quick Start

Use the matlab-deembed-rf-cascade skill to cascade your fixture + DUT + fixture measurement and then de-embed the fixtures to recover the DUT S-parameters.

Frequently Asked Questions about matlab-deembed-rf-cascade

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I de-embed fixture effects from measured S-parameters in MATLAB?

To de-embed fixture effects from measured S-parameters, you use the MATLAB RF Toolbox deembedsparams function to remove known fixture networks from a measured chain and recover the true DUT response. This requires accurate fixture S-parameter files and consistent reference impedances.

What is the best way to cascade multiple RF S-parameter networks in series?

The best way to cascade RF S-parameter networks is using the MATLAB cascadesparams function, which computes the end-to-end S-parameters for two or more RF blocks connected in series. You must align the frequency vectors using rfinterp1 before cascading to ensure accurate results.

Why are my cascaded S-parameters showing incorrect frequency data?

Cascaded S-parameters show incorrect frequency data when the frequency vectors of individual RF blocks are misaligned. You must align frequency grids across all networks using rfinterp1 and ensure consistent reference impedance before calling cascadesparams or deembedsparams.

Do I need the MATLAB RF Toolbox to remove test fixtures from DUT measurements?

Yes, you need the MATLAB RF Toolbox to remove test fixtures from DUT measurements, as it provides the required cascadesparams, deembedsparams, and rfinterp1 functions. These functions handle the frequency grid alignment and port ordering necessary for accurate fixture removal.

Can I use deembedsparams to extract a DUT from a fixture1-DUT-fixture2 measurement chain?

Yes, you can use deembedsparams to extract a DUT from a fixture1-DUT-fixture2 measurement chain by simulating the measurement setup and removing both fixture networks. This fixture removal workflow recovers the corrected DUT S-parameters by ensuring proper port ordering and impedance alignment.