Course detail

Radioelectronic measurement

FEKT-NREMAcad. year: 2018/2019

Basic measurement error definition, statistical data evaluation. Measurement automation, principals of basic programs. Precise measurements, parameters stability. Measurement devices for high frequency range. Network and impedance analyzers.

Language of instruction

Czech, English

Number of ECTS credits

Mode of study

Not applicable.

Guarantor

Ing. Jiří Dřínovský, Ph.D.

Department

Department of Radio Electronics (UREL)

Learning outcomes of the course unit

The graduate is able (1) to use basic measurement methods, he or she is able to (2) analyse measured data and he or she is able to design modern automation measurement system. He or she is able to realize the controlling program in Agilent VEE (4), Matlab (5) and LabView (6).

Prerequisites

The subject knowledge on the Bachelor’s degree level is requested.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Teaching methods include lectures and practical laboratories.

Assesment methods and criteria linked to learning outcomes

Tests written during semester and laboratory exercises (30 points), final exam (70 points).

Course curriculum

1. Measurement error definition, error quantification. Correct measurement rules.
2. Automation measurements.
3. Introduction to LabVIEW environment.
4. Basic oscilloscope measurements.
5. Frequency measurements.
6. Spectrum analysers.
7. Scalar network analysers.
8. vector network analysers.
9. Impedance analysers.
10. PC digital cards.
11. Signal generators.

Work placements

Not applicable.

Aims

Presenting principles of basic measurement methods for high frequency range. Presenting automation techniques, programs. Automation measurement setup.

Specification of controlled education, way of implementation and compensation for absences

The content and forms of instruction in the evaluated course are specified by a regulation issued by the lecturer responsible for the course and updated for every academic year.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Hiebel, M., Fundamentals of Vector Network Analysis. Rohde&Schwarz GmbH & Co.KG, 2005. 419 stran. ISBN: 978-3-939837-06-0. (EN)
Pieper, J. M., Automatic Measurement Control (A tutorial on SCPI and IEEE 488.2). Rohde&Schwarz GmbH & Co.KG, 2007, 295 stran. ISBN: 978-3-939837-02-2. (EN)
Rauscher C., Fundamentals of Spectrum Analysis. Rohde&Schwarz GmbH & Co.KG, Mnichov 2007, ISBN 978-3-939837. (EN)

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme EECC-MN Master's

    branch MN-EST , 2 year of study, summer semester, elective specialised

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

Ing. Jiří Dřínovský, Ph.D.

Syllabus

1. Measurement error definition, error quantification. Correct measurement rules.
2. Automation measurements.
3. Introduction to LabVIEW environment.
4. A/D convertors.
5. Signal generators.
6. Basic oscilloscope measurements.
7. Frequency measurements.
8. Spectrum analysers.
9. Scalar network analysers.
10. Vector network analysers.
11. Impedance analysers.
12. Data acquisition units.
13. Software defined measurement devices.

Laboratory exercise

39 hod., compulsory

Teacher / Lecturer

Ing. Jiří Dřínovský, Ph.D.