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License Python 3.10+ Follows IEEE 370-2020

kit370: A Virtual De-embedding Kit

A free, open-source training kit for learning fixture de-embedding.

kit370 provides S-parameter files and worked examples that demonstrate de-embedding concepts, pitfalls, and best practices — with no hardware purchase required.


Not affiliated with IEEE

This is an independent, unaffiliated project. It is not part of, produced by, or connected to the IEEE, the IEEE Standards Association, or the IEEE 370-2020 working group or committee, and it has not been reviewed, approved, or endorsed by any of them. References to IEEE 370-2020 describe which published standard the methods here follow. They do not imply any relationship with, or endorsement by, IEEE or its committees.

IEEE 370-2020 is a copyrighted standard and is not distributed here. Obtain it from IEEE. "IEEE" is a registered trademark of the Institute of Electrical and Electronics Engineers, Incorporated.


Who is this for?

  • Signal integrity engineers learning de-embedding for the first time
  • Students in RF/microwave or high-speed digital courses
  • Practitioners who want hands-on examples without buying a physical fixture kit

What you get

Every structure exists at up to three levels of fidelity, and the disagreement between them is part of the lesson. When an algorithm scores 0.01 dB against an analytic model and 0.3 dB against a full-wave model of the same geometry, that gap is the thing worth understanding.

Tier Source Ground truth
analytic Circuit models via scikit-rf Exact by construction
fullwave 3D FEM Known geometry, no closed form
measured VNA measurements Unknown

Generated data is committed, so you can start immediately. Every synthesize.py is also runnable, so you can change the physics and watch what happens.

Quick start

git clone https://github.com/Sparamix/kit370.git
cd kit370
pip install -r requirements.txt

cd examples/01_symmetric_good
python process.py

Layout

kit370/
├── kit/              # Core S-parameter library, by tier
├── synthesis/        # Scripts that build the analytic tier
├── shared/           # Plotting, de-embedding and quality helpers
└── examples/         # Worked examples, one directory each

Each example holds a README.md explaining what it teaches, a synthesize.py to regenerate its data, a process.py that de-embeds as a practitioner would, an analyze.ipynb for interactive comparison, and a data/ directory:

data/<tier>/
├── DUT.s2p              # Bare device, the reference
├── FIX_L.s2p            # Left fixture
├── FIX_R.s2p            # Right fixture
├── 2xTHRU.s2p           # FIX_L ** FIX_R
├── FIX_DUT_FIX.s2p      # What you would measure
└── DUT_deembedded.s2p   # Produced by process.py

Pitfalls

Examples are organised around three kinds of failure, because they call for different responses:

Category Nature Example
A — Design for de-embedding Baked in at layout; needs a respin Fixture impedance ≠ DUT impedance
B — Measurement practice Bench-time; fixed by re-measuring Calibration drift, insufficient bandwidth
C — Processing and algorithm Free to fix, if you notice Symmetric method on an asymmetric fixture

Specifications

Parameter Value
Material Rogers RO4003C class, NiAu plated
Design trace width 17.3 mil
Layers 4
Analytic frequency range 10 MHz – 67 GHz, 10 MHz steps
Full-wave frequency range 100 MHz – 50 GHz, 100 MHz steps
Reference impedance 50 Ω

Analytic models include Wheeler/Hammerstad-Jensen microstrip impedance, skin-effect conductor loss with Huray roughness correction, Djordjevic-Sarkar causal dielectric loss, and a lumped connector launch model.

Quality

No file enters the kit until it passes passivity, reciprocity and causality checks; full-wave files additionally require a documented mesh-convergence study.

Related

Tool Role
scikit-rf Synthesis, network algebra, IEEE 370 de-embedding
SQualCheck S-parameter quality checking
IEEE P370 reference code Reference implementation
kit370-emerge Full-wave FEM models (GPLv2, separate repository)

Attribution and scope

This project distributes only its own models, scripts and results. No vendor drawings, CAD files or documentation are redistributed, and no part of the IEEE 370-2020 standard is reproduced here. Figures are original.

The structures modelled here follow the design intent of published verification coupons. Naming a commercial kit or a standard is descriptive only and implies no affiliation with, sponsorship by, or endorsement from any vendor, standards body or committee. All trademarks belong to their respective owners.

Contributing

Contributions welcome — measured S-parameters for correlation, improved models, additional examples, interactive notebooks.

License

BSD 3-Clause. See LICENSE.

Contact

Giorgi Maghlakelidze giorgi.snp [at] pm.me · linkedin.com/in/giorgim

About

A free, open-source training kit for learning fixture de-embedding - a technique of Signal Integrity. This library provides synthesized and measured S-parameter files demonstrating de-embedding concepts, pitfalls, and best practices.

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