MS1ANT - Antenna Arrays in Telecommunication Systems

Course specification
Course title Antenna Arrays in Telecommunication Systems
Acronym MS1ANT
Study programme Electrical Engineering and Computing
Module System Engineering and Radio Communications
Type of study master academic studies
Lecturer (for classes)
    Lecturer/Associate (for practice)
      Lecturer/Associate (for OTC)
        ESPB 6.0 Status elective
        The goal Introduction to theoretical background, basic terminology, theoretical concepts and algorithms in antenna arrays and application of antenna arrays in wireless communication systems and they will be trained in solving of practical engineering problems and independent research activities in that field
        The outcome It is expected that PhD students are trained in foundation and algorithms of antenna array theory and trained for independent research and engineering activities in that field
        Contents of lectures Lectures cover the next chapters: Introduction to theory of antenna arrays. Mathematical models of wideband and narow band signals on antenna array. Algorithms for narrow band and widband spatial beamforming, Algorithms for direction of arrival estimation, Adaptive antenna arrays, Principles of space-time communications, Application of antenna arrays in wireless communication systems.
        Contents of exercises Training in MATLAB, Practical training on antenna array development platforms.
        1. Hary L. Van Trees Optimum array processing, part IV of Detection, Estimation and modulation Tehory Wiley Interscience 2002 (Original title)
        2. S. Chandran Advances in Direction-of-Arrival Estimation Artech House Inc. 2006 (Original title)
        3. Lal Chand Godara: “ Smart Antennas”, CRC press, 2004 (Original title)
        Number of hours per week during the semester/trimester/year
        Lectures Exercises OTC Study and Research Other classes
        3 1
        Methods of teaching Teaching methods are: Lectures, Laboratory training in MATLAB, Realization of projects.
        Knowledge score (maximum points 100)
        Pre obligations Points Final exam Points
        Activites during lectures 0 Test paper 50
        Practical lessons 30 Oral examination 20
        Projects 0
        Colloquia 0
        Seminars 0