Real-Time Radar Data Analysis for Classification of Ground and Aerial Targets

Radars are being used more and more in critical sites such as airports, military bases and borders for surveillance of huge areas to detect unwanted intrusions. Determination of the type of each target is essential for such systems to identify the nature of the intrusion and avoid false and nuisance alarms. This thesis is focused on the design of automatic target classification systems based on analysis of real radar data from different sites and environments. Our algorithm will be able to perform real-time classification of different types of moving objects into predefined classes, such as human, vehicle, UAV and nuisance.

Faculty Supervisor:

Andrea Lodi

Student:

Seyedehniloofar Ayati

Partner:

FLIR Radars Inc

Discipline:

Mathematics

Sector:

Information and communications technologies

University:

Program: