Class Position Based Systems

It is an optional subject, basic to engineering. The notion of location is very important for a wide variety of scientific areas. The methods and techniques associated with them play an important role in such diverse areas of science and technology as Communications Networks, Radio Communications, Propagation and Radiation, Control, Energy Generation and Distribution Systems, Acoustics, Seismology , etc. Although coming from disciplines of such a diverse nature, and corresponding to physical phenomena of a completely different nature, the study of location and associated systems has developed a common basic formalism.

Not applicable

Part I: Introduction to Estimation Theory Least squares and linear programming, convex and non-linear optimization, maximum likelihood estimation Part II: Designing Localization Systems Overview of localization architecture, radio propagation characteristics in operating environment, CRLB Part III: Localization using Terrestrial Radio Signals TOA, RSS, TDOA, AOA, hybrid systems Part IV: Network Localization Cooperative localization, distributed localization, consensus algorithm Part V: The Bayesian Philosophy Target tracking and navigation, MAP, KF Part VI: Introduction to Detection Theory: Secure Localization Localization in adverse environments, spoofing attacks, attacker detection

Theoretical teaching (T) - Presentation of the concepts defined in the syllabus. Practical teaching (P) - Presentation and discussion of the concepts defined in the syllabus, accompanied by the resolution of application examples in Matlab. Tutorial guidance (OT) Monitoring students in solving exercises and supervising other activities relevant to the curricular unit. Support for individual/small group study of students. Assessment: Attendance (P) + Practical work (TP): required for approval (up to 14 points) Attendance (P) + Practical work (TP): necessary for approval + Innovative ideas from students / application of concepts covered in classes to their area of research (I) (up to 18 points) Attendance (P) + Practical work (TP): necessary for approval + Innovative ideas from students / application of concepts covered in classes to their area of research (I) + Writing/submission of a scientific article (up to 20 points)

S. Boyd and L. Vandenberghe, Convex Optimization, Cambridge University Press, UK, 2004 S. Tomic, M. Beko, R. Dinis, M. Tuba, N. Bacanin, RSS-AoA-Based Target Localization and Tracking in Wireless Sensor Networks. 1st ed. Denmark, River Publishers, 2017. S. M. Kay. Fundamentals of Statistical Signal Processing: Estimation Theory. Prentice-Hall: Upper Saddle River, NJ, USA, 1993. S. M. Kay. Fundamentals of Statistical Signal Processing: Detection Theory. Prentice-Hall: Upper Saddle River, NJ, USA, 1998. I Sharp and K. Yu. Wireless Positioning Principles and Practice. Springer Nature Singapore Pte Ltd., Singapore, 2019