Sensing And Estimation Techniques For Localization And Radio Imaging In Smart Cities And Smart Environments
Prof.
Andrea Abrardo
University of Siena - Dipartimento di Ingegneria dell'Informazione e Scienze Matematiche Giulio Bartoli
University of Siena - Dipartimento di Ingegneria dell'Informazione e Scienze Matematiche
Course Type
Type B
Calendar
Sept 22, 24 h. 9:00-13:00 Aula 20 Sept 23, 25, 26 h. 9:00-13:00 Aula 103
Room
Program
Brief abstract
The goal of this course is to equip students with the tools to evaluate the performance of sensing and communication systems. Initially, the course will provide a theoretical foundation that will help students to understand the most appropriate methodologies for assessing these systems in wireless environments. Subsequently, we will discuss the latest models for characterizing innovative wireless devices, all framed within an integrated communication and sensing context to ensure a comprehensive understanding of the subject.
Syllabus Introduction to Estimation Theory and Sensing Systems
• Overview of estimation theory in the context of sensing and localization.
• Key performance metrics: Accuracy, bias, robustness.
• Introduction to sensing in smart cities and connected environments.
Object Localization and Tracking in Urban Settings
• Principles and methods for detecting, tracking, and localizing objects.
• Challenges in dynamic urban environments: Multipath effects, interference.
• Case studies on object tracking in smart cities.
Advanced Radio Imaging and Localization Techniques
• Techniques for radio imaging in dense and heterogeneous environments.
• Evaluating system performance: Simulations and metrics.
• Hands-on session: Application of localization techniques in simulated environments.
Integrated Sensing and Communications (ISAC)
• Fundamentals of ISAC and its role in smart environments.
• How ISAC supports dual-function systems for both sensing and communication.
• Case studies: Applications of ISAC in next-generation urban infrastructure.
Reconfigurable Intelligent Surfaces (RIS) and Future Technologies
• Introduction to RIS and their application in smart cities.
• RIS-enabled systems for high-precision sensing and efficient communication.
