Department of Electrical and Computer Engineering

MENUMENU
  • Department
      • Profile
      • Faculty
      • Evaluation
      • Administration
      • Staff
  • Studies
    • Subject Areas
    • Undergraduate Studies
    • Postgraduate Studies
      • MSc Studies in “Science and Technology of ECE”
      • MSc Studies in “Smart Grid Energy Systems”
      • MSc Studies in “Applied Informatics”
    • PhD Studies
    • Course List
      • Undergraduate Courses
      • Postgraduate Courses
        • Science and Technology of ECE
        • Smart Grid Energy Systems
        • Applied Informatics
      • Erasmus
    • ECTS
    • Career Opportunities
    • Practise Training
  • Research
    • Labs
    • Research Projects
    • Postdoc Research
    • Ph.D. Candidates
    • Theses – Technical Reports
    • Active Research Projects

      MLSysOps: Machine Learning for Autonomic System Operation in the Heterogeneous Edge-Cloud Continuum

      Scientific Responsible

      Spyros LalisSpyros Lalis, Professor
      E-mail: lalis@e-ce.uth.gr

      TitleMLSysOps: Machine Learning for Autonomic System Operation in the Heterogeneous Edge-Cloud Continuum
      Duration2023 – 2025
      Sitehttps://csl.e-ce.uth.gr/projects/mlsysops

      Read More

  • Alumni
    • Ph.D. Graduates
  • Service Offices
    • Secretariat
    • Technical support
  • Announcements
    • General Announcements
    • Academic News
  • Contact
    • Department of Electrical and Computer Engineering
      • Sekeri – Cheiden Str
        Pedion Areos, ECE Building
        383 34 Volos – Greece
      Tel.+30 24210 74967, +30 24210 74934
      e-mailgece ΑΤ e-ce.uth.gr
      PGS Tel.+30 24210 74933
      PGS e-mailpgsec ΑΤ e-ce.uth.gr
      URLhttps://www.e-ce.uth.gr/contact-info/?lang=en
  • Login

ECE563 Advanced Telecommunication Systems

Home » Studies » Undergraduate Studies » Undergraduate Courses » ECE563 Advanced Telecommunication Systems
Subject AreaSignals, Communications, and Networking
SemesterSemester 9 – Fall
TypeElective
Teaching Hours4
ECTS6
Prerequisites
  • ECE312 Telecommunication Systems
Course Director

Antonios ArgyriouAntonios Argyriou, Professor
E-mail: anargyr@e-ce.uth.gr

Course Instructor
  • Antonios Argyriou, Professor
    E-mail: anargyr@e-ce.uth.gr
  • Description
  • Learning Outcomes
  • Review of digital signal processing (DFT, digital filters).
  • Basic radar concepts: Introduction to the radar system, fast time, slow time, radar data cube.
  • Signal Models: Radar equation, radar cross-section, clutter, frequency models (Doppler shift)
  • Matched Filter (MF): MF for ranging, range resolution, MF for moving targets, ambiguity function.
  • Radar Waveforms: Rectangular pulse, pulse burst, linear FM, FMCW, bandwidth/Doppler and resolution analysis of waveforms. Radar waveforms for specific applications (automotive, air target monitoring, weather).
  • Doppler Processing: Doppler shift in RF signals, Doppler-range response.
  • Detection theory: MAP/ML rules, vector detection of deterministic signals, Neyman Parson rule and ROC.
  • Antenna Arrays: ULAs, movement and radial velocity models, beamforming and MUSIC algorithm for AoA estimation, Doppler-AoA profile.
  • Synthetic aperture radar (SAR) and Imaging.

The course is an undergraduate introduction to radar systems. Emphasis is given in the signal processing aspect of radar systems instead of a theoretical treatment of the subject. The main objectives of the course are two. First, To understand the basic signal processing components/algorithms and their need in any radar system. Second, to be able to adapt these algorithms depending on given radar specifications.

After successfully completing the course the student will be able to:

  • Explain the operation a generic radar system and understand a system given to them.
  • Evaluate which algorithm should be deployed depending on the specific radar application requirements.
  • Fully design and implement in MATLAB/Python the signal processing algorithms of a basic radar system.

 

The previous learning outcomes will be evaluated based on 5 projects that will train the student in each one of the core components of a radar system. Also through a final exam that requires numerical as well as conceptual solutions to problems.

e-Yπηρεσίες

Contact Info

  • Sekeri – Cheiden Str, Pedion Areos, Volos
  • +30 24210 74967
  • +30 24210 74934
  • Email: gece@e-ce.uth.gr

Announcements

  • Academic News

Find us

  • Facebook
  • Twitter
  • Youtube
  • Linkedin
© Copyright 2025 Department of Electrical and Computer Engineering
We use cookies to ensure that we give you the best experience on our website.OKΠληροφορίες