Important notice
The course guide is provisional.
The PDF version of the course guide may take a few days to become available in the DDD.

Instrumentation and RF/Microwave Sensors for IoT and Industry 4.0 Applications
Code: 45646Credits: 6
| Degree programme | Type | Course |
|---|---|---|
| Telecommunication Engineering | OB | 1 |
Contact lecturer
- Name :
- Ferran Martin Antolin
- Email :
- ferran.martin@uab.cat
Teaching staff
- Paris Velez Rasero
Group languages
You can consult this information at the end of the document.
Prerequisites
Familiarized with RF/microwave engineering (transmission lines, S-parameters, microwave networks, and passive and active microwave circuits).
Objectives
Provide an up-to-date view of sensor technologies, with emphasis on RF/microwave sensors, providing the concepts, techniques and tools for the design of sensor systems, including the generation, transduction, processing and communications stages. It is our objective to apply the developed concepts in case examples of IoT and Industry 4.0 scenarios.
Learning outcomes
- CA18 (Develop electronic instrumentation as well as transducers, actuators, and sensors for industrial and IoT applications.) Develop electronic instrumentation as well as transducers, actuators, and sensors for industrial and IoT applications.
- CA19 (Apply advanced knowledge of photonics and optoelectronics as well as high-frequency electronics to sensor development.) Apply advanced knowledge of photonics and optoelectronics as well as high-frequency electronics to sensor development.
- KA18 (Identify different knowledge from the field of sensors and high-frequency electronics, which provide a basis or opportunity to be original in the development and/or application of ideas, often in a research context.) Identify different knowledge from the field of sensors and high-frequency electronics, which provide a basis or opportunity to be original in the development and/or application of ideas, often in a research context.
- SA25 (Design microwave sensors for applications in IoT and Industry 4.0.) Design microwave sensors for applications in IoT and Industry 4.0.
- SA26 (Design communications components mainly, transmitters and receivers in different bands for application in Industry 4.0 and IoT) Design communications components mainly, transmitters and receivers in different bands for application in Industry 4.0 and IoT
Contents
Introduction to sensors and measuring systems.Performance indicators. Sensor technologies. Optical/photonic sensors, magnetic sensors, acoustic sensors, mechanical sensors, electric sensors. RF/microwave Sensors. Remote (RADAR de radiometers) and non-remote sensors (resonant cavities, NWR, coaxial probes, and planar sensors). Classification of planar microwave sensors. Contact and contactless sensors, resonant and non-resonant sensors, single-ended and differential sensors, wired and wireless sensors. Transduction techniques: magnitude, frequency, phase. Examples: sensors for physical variables monitoring (temperature, humidity, etc.) and chemical analysis (gas sensors, impurity control, quality assessment,...), motion control (electromagnetic and optical encoders), biosensors, microfluidic sensors. General diagram of a microwave sensing system. Signal processing and generation, and communications. Applications in smart cities, SHM, Industry 4.0, bio-sensing. Advanced concepts (green sensors, smart sensors, sensor networks, advanced materials, etc.).
Learning activities and methodology
| Title | Hours | ECTS | Learning outcomes |
|---|---|---|---|
| tutorship | 40 | 1.6 | CA18, KA18, SA25 |
| design of RF/microwave sensors according to specifications | 60 | 2.4 | CA18, CA19, KA18, SA25, SA26 |
| study by the student | 50 | 2 | CA18, SA25 |
Directed activities:
Magister classes
Problems seminar
Lab sessions
Supervised activities: tutorship
Autonomous activities:
Study by the students
Problems solution
Preparation of lab sessions
Assessment
Continuous assessment activities
| Title | Weight | Hours | ECTS | Learning outcomes |
|---|---|---|---|---|
| partial and final exam | 75% | 0 | 0 | CA18, CA19, KA18, SA25, SA26 |
| laboratory | 25% | 0 | 0 | CA18, SA25 |
Individual and continuous evaluation of the part “partial exams”, with at least one partial exam, will be carried out. If the continuous evaluation is not surpassed, the final exam will be mandatory. At least a score of 4 out of 10 is necessary in the final exam in order to surpass the subject averaging with the lab evaluation part. The average of the partial exams should be at last 4 out of 10 in order to avoid the realization of the final exam. This part has a weight of 75%. The results of the lab will have a weight of 25%, based on the reports of the activities.
To recover the activities (if it is necessary), it will be done after the lectures period. The score of the lab part cannot be recovered. The professors have the right to modify the evaluation procedure depending on the specific circumstances that may appear during the training period.
If a student do not pass due to not surpassing the minimum score in any of the evaluation activities, see above, the final score will be the resulting one, if it is less than 5, or 4.8, if the average score is above 5
Students that repeat the subject will maintain the score of the lab.
Copying or allowing copying will be penalized with a zero score in the corresponding activity.
If the student realizes a partial exam, he/she is evaluated with a score. This subjet does not consider \"unique evaluation\".
Bibliography
F. Martín, P. Vélez, J. Muñoz-Enano, L. Su, Planar Microwave Sensors, Wiley/IEEE Press, Hoboken, NJ, USA, 2022.
Software
Agilent ADS i Momentum.
Course groups and languages
The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE
| Type of teaching | Group | Language | Semester | Shift |
|---|---|---|---|---|
| (TEmRD) Teoria (màster RD) | 1 | English | second semester | afternoon |
| (PLABmRD) Pràctiques de laboratori (màster RD) | 1 | English | second semester | afternoon |