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19D031PVO - Spatio-Temporal Signal Processing

Course specification
Course title Spatio-Temporal Signal Processing
Acronym 19D031PVO
Study programme Electrical Engineering and Computing
Module Telecommunications
Type of study doctoral studies
Lecturer (for classes)
Lecturer/Associate (for practice)
    Lecturer/Associate (for OTC)
      ESPB 9.0 Status elective
      Condition No prerequisites
      The goal Introduction to principles, theoretical concepts and algorithms for processing and parameter estimation of multi-user signals on sensor arrays, including transmission in MIMO systems. Application of gained knowledge in the field of spatio-temporal signal processing to analyze existing and design novel solutions.
      The outcome Students will be able to use literature, perform theoretic analysis and modeling of spatio-temporal signal processing, and implement algorithms in standard software environments. Students are qualified to independently conduct research, development and analysis of spatio-temporal signal processing techniques in modern wireless telecommunication systems.
      Contents
      Contents of lectures Introduction to the theory of sensor arrays. Mathematical models of signals on sensor arrays. Techniques for localization of signal sources. Indoor localization of UWB users. Spatio-temporal channel models. MIMO systems. MIMO channel sounders. Beamforming techniques in MIMO systems. Principles of joint spatio-temporal spectrum sensing. Principles of monitoring of electromagnetic spectrum.
      Contents of exercises Candidates' independent research work: theoretical and practical. Project with presentation.
      Literature
      1. Hary L. Van Trees: "Optimum array processing, part IV of Detection, Estimation and modulation Theory", John Wiley & Sons, Inc., 2002. (Original title)
      2. H. Bölcskei, D. Gesbert, C. B. Papadias, and A-J van der Veen (Eds.), "Space-Time Wireless Systems: From Array Processing to MIMO Communications", Cambridge University Press, 2006. (Original title)
      3. A. B. Gershman, and N. D.Sidiropoulos, (Eds.), "Space-Time Processing for MIMO Communications", John Wiley & Sons, 2005. (Original title)
      4. E. Biglieri, R. Calderbank, A. Constantinides, A. Goldsmith, A. Paulraj, and H. V. Poor: "MIMO Wireless Communications", Cambridge University Press, 2007. (Original title)
      5. E. Björnson, J. Hoydis, and L. Sanguinetti, "Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency", Foundations and Trends® in Signal Processing, Vol. 11, No. 3-4, pp 154-655, 2017. (Original title)
      Number of hours per week during the semester/trimester/year
      Lectures Exercises OTC Study and Research Other classes
      8
      Methods of teaching Lectures, consultations and mentoring. Student conduct individual research and work on projects.
      Knowledge score (maximum points 100)
      Pre obligations Points Final exam Points
      Activites during lectures Test paper
      Practical lessons Oral examination 30
      Projects 40
      Colloquia
      Seminars 30