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13M031ANT - Antenna Arrays in Telecommunication Systems

Course specification
Course title Antenna Arrays in Telecommunication Systems
Acronym 13M031ANT
Study programme Electrical Engineering and Computing
Module
Type of study master academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
    ESPB 6.0 Status elective
    Condition
    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
    URL to the subject page https://www.etf.bg.ac.rs/fis/karton_predmeta/13M031ANT-2019
    URL to lectures https://teams.microsoft.com/l/team/19%3Aqkff-IzPnZQZXoxqd9fnqNfG2RUWCulPS3ZpKCqGamw1%40thread.tacv2/conversations?groupId=1559752f-f056-4c34-af51-a751b550bcfd&tenantId=1774ef2e-9c62-478a-8d3a-fd2a495547ba
    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, MIMO systems, Application of antenna arrays in wireless communication systems.
    Contents of exercises Training in MATLAB, Practical training on antenna array development platforms.
    Literature
    1. Miljko Eric, Nenad Vukmirovic "Introduction to antenna array signal processing", Akademska misao, 2019
    2. Hary L. Van Trees "Optimum array processing, part IV of Detection, Estimation and modulation Tehory" Wiley Interscience 2002
    3. Lal Chand Godara: “ Smart Antennas”, CRC press, 2004
    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
    Colloquia 0
    Seminars 0