introduction to metas vna toolsrfmw.cmi.cz/documents/meetings/vnaprimary/metasvnatools... · 2019....

Schweizerische Eidgenossenschaft

Confédération suisse

Confederazione Svizzera

Confederaziun svizra

Federal Institute of Metrology METAS

Introduction to METAS VNA ToolsJuerg Ruefenacht, Michael Wollensack

14. May 2019






Introduction Features Step by Step Graphical User Interface Final Remarks

Outline

Introduction

Features

Step by Step

Graphical User Interface

Final Remarks

Juerg Ruefenacht, Michael Wollensack METAS 2 14. May 2019







Motivation - once upon in time








Introduction

ProblemComputation of uncertainties associated with S-parametermeasurements.

SolutionSet up a measurement model for the entire measurement processand propagate all uncertainties through this model.

I METAS VNA Tools and UncLib








History: VNA Tools

1995: Basic ideas formulatedI VNA metrology software not relying on VNA firmware

I Using raw VNA values

I Calculations externally on PC

LabView SoftwareI 1998: Support of 1 port measurements

I 2003: Full 2-port version

I 2011: 25 Licensees

Uncertainty evaluation not satisfactory








History: VNA Tools II

Goal:Extend VNA Tools with an uncertainty evaluation that iscompliant with the guidelines of the GUM

2005 - 2008:Initial steps and evaluations

2008 - 2011: METAS project VNA Tools II

I Complete rewrite of SW in C#

I Development: Michael Wollensack

I End of 2011: First public version available

I May 2019: Version 2.2.3








METAS VNA Tools - Usage

0

100

200

300

400

500

600

700

800

900

09.2011 01.2013 06.2014 10.2015 03.2017 07.2018 11.2019

Number of User Registrations

Number of User Trainings








METAS VNA Tools and METAS UncLib

Figure: METAS VNA Tools








METAS VNA Tools - Key features

METAS VNA Tools is a software which is designed to measureestimates of S-parameters and compute associated uncertainties

I It supports N-port VNA measurements (coaxial, waveguide,on-wafer)

I It supports the following calibration types: One Port, SOLT,GSOLT, QSOLT, Unknown Thru, TRL, LRL, TRM, LRM,LRRM, Juroshek and Optimization

I It allows the definition of all influences that affect VNAmeasurements

I It uses the Linear Propagation module of METAS UncLib topropagate all uncertainties through the VNA measurementmodel

I It can store and visualize S-parameter data with uncertainties

I It provides an uncertainty budget








METAS VNA Tools - Drivers

I Agilent 8719D/ES, 8720D/ES, 8722D/ES (FW: 8722ES07.74)

I Agilent 8753B/C/D/E/ES (FW: 8753B 03.00, 8753D 06.14)I Agilent ENA Series (FW: E5061B A.02.06, E5071C A.09.60)I Agilent FieldFox Series (FW: N99xx A.10.34)I Agilent PNA Series (FW: E836x & N52xx A.09.40, E5080B

A.11.00)1

I Anritsu ShockLine (FW: MS46524A V2018.2.1, V2.2.17)1

I Anritsu VectorStar (FW: MS4640A 1.7.5, MS4640B 2.1.0)1

I Hewlett Packard 8510C (FW: 07.14 Aug 26 1998)I Hewlett Packard 8751A (FW: 5.00 Mar 7 1993)I Rohde & Schwarz ZNB, ZNC, ZND, ZNBT (FW: 1.94)1

I Rohde & Schwarz ZVA, ZVB, ZVT (FW: 3.20)1

I Rohde & Schwarz ZVC, ZVK, ZVM, ZVR (FW: 3.55)1two-port and multiport








METAS UncLib

UncLib is a generic measurement uncertainty calculator supportingmultivariate evaluation of uncertainties

The user specifies

I input quantities X withinput covariance matrix VX

I measurement model f

METAS UncLib computes

I output quantities Y = f (X)

I Jacobi matrix JYX of f usingautomatic differentiation

I output covariance matrixVY = JYXVXJYX

′

X1 X2 X3

f1

corr

Input quantities

Output quantities

Measurement model

f2

Y1 Y2

corr

Figure: METAS UncLibJuerg Ruefenacht, Michael Wollensack METAS 11 14. May 2019







Measurement Model

1-port model (VNA Tools supports n-port measurements)

CR1,1 CR

1,2

CT1

CT1

RR1,1 RR

1,2

RT1

RT1

DUT U.

UR1,1 0

1

1

Cable

DD1 DM

1

1

DT1

ED1 EM

1

1

ET1

1

1

1

NH1,1L1

a1

b1

S1,1

21E

21

COpen

1SOpen

21DOpen Connector

0

MOpen21

ROpen

Noise, Linearity Drift of Error Terms Cable Stability, Connector Repeatability, DUT Uncertainty Cal. StandardRaw DataDefinitions

NL1,1

NL

NH

L

ED

ET

EM

DD

DT

DM

CR

CT

UR S S-parametera ref.

b testreceiver

receiver

noise floortrace noiselinearity

directivitytrackingmatch

directivity

tracking driftmatch drift

reflection

transmissionstability

stability

reflectionuncertaintydrift

Error Terms?

DUT U.Cable21

E21 1

SShort21

DShort ConnectorMShort

21RShort

DUT U.Cable21

E21 1

SLoad21

DLoad ConnectorMLoad

21RLoad

DUT U.Cable21 21 1

SDUT21

DDUT ConnectorMDUT

21RDUT

CDUT

Noise, Linearity Drift of Error Terms Cable Stability, Connector Repeatability, DUT Uncertainty Error CorrectedRaw DataData?

Error Terms

CLoad

CShort

E

2. Error Correction: SDUT = f2 (MDUT,RDUT,DDUT,CDUT,E)

1. Calibration: E = f1 (MOpen,ROpen,DOpen,COpen,SOpen,MShort,RShort,DShort,CShort,SShort,MLoad,RLoad,DLoad,CLoad,SLoad)

Michael Wollensack METAS - 25.10.2017

RR reflection

transmissionrepeatability

repeatabilityRT








Additional features

I Graphical user interface

I Storage of data in different formats

I Specials (sliding load, polynomial model fit, etc)

I Support for primary experiments (S-parameter traceability)

I Scripting (for automated procedures)

I Pass/fail assessment for verification measurements

I CMC calculator (Cal. and Meas. Capabilities - virtual VNA)

I Time domain functionality

I Mixed-mode S-parameter conversions

I Material parameter calculations (complex permittivity andpermeability)

I Real time interface (with license fee)








Multistep Measurement Process

Uncertainty influences

Database

Measurement model and Error Terms

Calibration Config

VNA measurements

Measurement Journal

Error Correction

of the raw measurement data








Step by Step

The following steps describes the typical use of VNA Tools:

1. Specify all uncertainty influences in the Database of VNATools.

2. Create a new project.

3. Collect raw measurement data and record the measurementprocess in the Measurement Journal.

4. Configure a VNA calibration and compute the error terms.

5. Error correct the raw measurement data.

6. Post processing of error-corrected data (optional).

7. Visualize the error-corrected data in the Data Explorer.








Database

Figure: Specify all uncertainty influences in the Database of VNA Tools.








New Project

Figure: Create a new project.








Raw Measurement DataRecord the measurement process in the

Measurement Journal:

MOpen

M denotes raw data measurements

MShort

MLoad

MDUT

1)

2)

3)

4)

5) …

Figure: Collect raw measurement data and record the measurementprocess in the Measurement Journal.








Calibration Config

MOpen

MShort

MLoad

SOpen

SShort

SLoad

Raw data

Cal Standard Definition

Select Calibration Type:

e.g. OnePort

Select the path of the

Measurement Journal

Measurement model:

Calculated Error Terms:

Assign cal standard

raw data with definitions

Figure: Configure a VNA calibration and compute the error terms.








Error Correction

Raw data Error-corrected data

MDUT

Select the file path of the

Measurement Journal (*.vnalog)

Select the file path of the

Error Terms (*.calb)

Select the directory which contains the raw data

Raw Measurement Path

… …

Figure: Error correct the raw measurement data.








Post Processing

Figure: Post processing of error-corrected data.








Measurement Process Summary

• DB: Data Base (characterization data – VNA, cables, connectors)

• MJ: Measurement Journal (meta data about the measurement sequence and the data logger values)

• DC: Device Control (interaction with the VNA – raw data measurements)

• Basic Inputs: S (calibration standard), C (cable and connector), D (drift), R (noise and linearity), M (raw measurements)

• MM: Measurement Model








GUI








Visualization - Graph

Figure: Graph shows a graphical visualization of multiple files.








Visualization - Table

Figure: Table shows a tabular visualization of a single file.








Visualization - Point

Figure: Point shows an uncertainty budget for one frequency point andone parameter of a single file.








User requirements

I VNA Tools is not fool-proofed. Its flexibility allows you to dothings that might be totally wrong.

I VNA Tools is for experienced VNA user.

I It requires advanced understanding of VNA measurementtechniques and metrological principles.

I Measurement model is an approximation to reality and can’tcover everything.

I Careful working attitude and patience are helpful.








Use in accredited laboratories

User requirements not covered by VNA Tools:

I Good understanding and control of basic influences that affectmeasurement.

I Characterization of all the influences: input into database.

I Good measurement practice.

Role of VNA Tools:I Does the technical part, including uncertainty propagation.

I Supports proper documentation.

I Helps you to implement the recommendations in the GUMdocuments and in the EURAMET VNA Guide (cg-12).








Validation

I Implementation of algorithms and models is documentedpublicly (VNA Tools Math Reference).

I Method in METAS UncLib is not very error prone (automaticdifferentiation).

I Internal use at METAS, comparison with history.

I Validation projects: comparison with other software.I Plausibility checks:

I Comparison of different calibration algorithms on same dataset.

I Plausibility of uncertainty budget.

I Wide use and maturity, feedback from users.








License

I Unrestricted use, even for commercial applications (e.g.customer calibrations).

I Redistribution in any form prohibited.

I NZ patent (GUM Tree concept: Blair Hall, MSL, NZ).

I Real Time Interface is locked and only available for a licensefee.








Conclusion

Web page VNA Tools

www.metas.ch/vnatools

User Forumgroups.google.com/forum/#!forum/vnatools

Web page UncLib

www.metas.ch/unclib


http://www.metas.ch/vnatools

https://groups.google.com/forum/#!forum/vnatools

http://www.metas.ch/unclib

introduction to metas vna toolsrfmw.cmi.cz/documents/meetings/vnaprimary/metasvnatools... · 2019....

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