Abstract
Radars play a crucial role in military air operations. They allow the detection with great accuracy of aircrafts flying at long distances. The exploitation of radars within an air command and control (C2) operational center is made possible through the use of operational information systems. The process of detecting an aircraft’s position, direction and speed from radar measurements to identify possible threats lies in the field of data fusion and especially in tracking. The implementation and testing of tracking algorithms require realistic radar data, and especially data that correspond to extreme radar phenomena that might occur in air C2 data fusion systems. A simulation of a parameterizable multi radar network that lies under an air C2 system has been developed. After simulating radar data, several sensor data fusion algorithms have been implemented and applied, with aim to find a solution that best fits in the specific problem and the environment of study. Specifically, Kalman filters, gating, nearest neighbor, interactive multiple filter and joint probability data association (IMMJPDA) have been implemented and evaluated. The simulation of both aircraft and radar data allowed for the evaluation of the performance of these algorithms. The results showed that IMMJPDA is a solution that handles well radar tracking even in extreme simulated scenarios.
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