|
Lecturer(s)
|
-
Juryca Karel, Ing. Ph.D.
-
Pidanič Jan, doc. Ing. Ph.D.
|
|
Course content
|
1. Discrete modulation - summary: Scalar and vector modulation. Modulation without memory and with memory. Modulation PAM, ASK, PSK, APSK, FSK. Modulators and demodulators. Constellation diagram and "eye" diagram, OFDM modulation, TCM modulation 2. Elementary models of channels. Additive channel with AWGN: channel operator, data detection for modulations without memory, LMS method, probability of detection error 3. Data detection in modulations with memory: MLSE method 4. Linear, time-invariant channels: frequency non-selective and selective channels - causes, consequences. Frequency non-selective channel: channel operator, independent amplitude synchronization, error probability. AVC loop 5. Linear, time-invariant frequency non-selective channels: Independent synchronization of frequency and carrier phase 6. Linear, time-invariant frequency non-selective channels: Independent delay synchronization: symbol and frame synchronization 7. Linear, time-invariant frequency selective channels: linear distortion ISI, channel model, estimation of channel model parameters, methods of distortion removal - equalization 8. Linear, time-invariant frequency selective channels: Independent equalization, equalization filter, minimum distortion criterion and minimum errors 9. Linear, time-varying channel: Doppler effect and other effects, non-random and random channel. Types of random channels (Rice's, Rayleigh's) and their characteristics 10. Linear, time-varying random channel: classification of random LTV channels, slow deep leakage channel - spectrum spreading methods 11. Linear, time-varying random channel: channel with slow ISI - adaptive equalization methods, adaptive equalization filters 12. Linear, time-varying random channel: fast-leakage channel: consequences - mass errors, interleaving 13. Nonlinear, time-invariant channel: causes and consequences, weakly nonlinear channels. Equalization in weak nonlinear channels The content of the course exercises is consistent with the lectures.
|
|
Learning activities and teaching methods
|
Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Laboratory work
- Participation in classes
- 52 hours per semester
- Preparation for an exam
- 40 hours per semester
- Home preparation for classes
- 34 hours per semester
- Preparation for laboratory work and processing of results
- 26 hours per semester
- Contact teaching
- 28 hours per semester
|
|
Learning outcomes
|
The aim of the course is to acquaint students with the properties of communication channels and the basic types of communication channels. In addition, students learn the principles of signal processing in modern communication systems and the design of methods and algorithms for synchronization and equalization of digital signal modulation and data detection.
After completing this course, students will know and will be able to use the most important types of modulations with and without memory. They will also have detailed knowledge of various transmission channels, their parameters, their synchronization and equalization.
|
|
Prerequisites
|
Good knowledge of high school mathematics, integral and differential calculus and the basics of statistics
|
|
Assessment methods and criteria
|
Oral examination, Written examination
The student must demonstrate an understanding of the solved problems during the semester and during the final exam. The specific requirements will be communicated to the students by the teacher in the first week of the semester. During the semester and in the final exam, the student must demonstrate an understanding of the solved problems. The specific requirements will be communicated to the students by the teacher in the first week of the semester. Prerequisites for successful completion of the course: 1) In the event of emergency measures, classes will be taught remotely using MS Teams at scheduled times. Attendance at MS Teams group meetings is equivalent to attendance at lectures and tutorials. 2) Active participation in exercises and non-knovledge of the subject matter discussed (basic relationships and laws will result in an unexcused absence. Excepts or lectures are allowed during the exercises. 3) Minimum 80% attendance (excused and unexcused absences count) 4) Late arrival to class by a maximum of 10 minutes, then unexcused practice. 5) Completion of all homework assignments (approx. 10 homework assignments) Prerequisites for the exam: The student will be asked 2 questions from the topics discussed. He/she can get a maximum of 1 point from each question, i.e. 2 points maximum. A minimum of 0.5 points is required for each question. Assessment table according to points: A 3-2,7 B 2,69 - 2,4 C 2,39 - 2,1 D 2,09 - 1,8 E 1,79 - 1,5 F <1,5
|
|
Recommended literature
|
-
Bellanger, Maurice G. Adaptive digital filters. New York: Marcel Dekker, 2001. ISBN 0-8247-0563-7.
-
Couch, Leon W. Digital and analog communication systems. Upper Saddle River: Prentice Hall, 2007. ISBN 0-13-142492-0.
-
Proakis, J. G. Digital Communication. McGraw Hill, Inc., 5 th ed., NY, 2008. ISBN 978-0-07-295716-7.
-
RAWAT, Tarun Kumar. Digital Signal Processing. Oxford: Oxford Press, 2015. ISBN 978-0-19-808193-7.
-
Sýkora, Jan. Teorie digitální komunikace. Praha: Vydavatelství ČVUT, 2002. ISBN 80-01-02478-4.
|