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ELE-3506 Antenna Basics, 2 cr |
Jouko Heikkinen
Lecture times and places | Target group recommended to | |
Implementation 1 |
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2. vuosikurssi
International Students |
Passed final examination.
Completion parts must belong to the same implementation
The course is administrated using the MOODLE learning platform, providing the students course information, lecture material, assignments, grading and discussion groups.
To learn the fundamental antenna concepts and the language of antennas. After the course the student has prerequisites for advanced antenna studies.
Content | Core content | Complementary knowledge | Specialist knowledge |
1. | Basic antenna parameters Antenna patterns Beam solid angle Radiation intensity and beam efficiency Diectivity and gain | Notation variations between different antenna books Directivity and resolution | Antenna fabrication and measurement |
2. | Antenna apertures Effective height Fields from oscillating dipole Antenna field zones Shape-impedance considerations | The radio communication link | |
3. | Linear, elliptical and circular polarization Poynting vector for elliptically and circularly polarized waves The polarization ellipse and and the poincaré sphere |
In order to pass the course the final examination must be passed. Accepted final examination requires adequate control of the core content of the course.
Numerical evaluation scale (1-5) will be used on the course
Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
Book | Antennas for All Applications, 3rd ed. | Kraus | 0-07-112240-0 | English | |||
Lecture slides | Lecture slides | JHe | English |
Course | Mandatory/Advisable | Description |
SMG-1400 Sähkömagneettiset kentät ja aallot II | Advisable | SMG-8146 RF-electronics preparatory II or Previous equivalent knowledge from another university. |
There is no equivalence with any other courses
Description | Methods of instruction | Implementation | |
Implementation 1 | Spring 2010 | Lectures Excercises |
Contact teaching: 0 % Distance learning: 0 % Self-directed learning: 0 % |