Laboratory Verification Process for Redirection Algorithm Design using GNSS Deception

Recently, anti-drone technology has been rapidly developed to counter illegal drone intrusion. To counter illegal drone, drone redirection algorithm is used with the global navigation satellite system (GNSS) spoofer and drone detection equipment. In this study, to reduce the performance gap between laboratory and field tests, we proposed a validation process in the laboratory to design and verify the drone redirection algorithm from the initial design stage to the equipment integration state before conducting field tests. The proposed process consists of four steps; tuning drone model based on flight test data, simulation in the loop (SITL) test, hardware in the loop (HITL) test using real flight control computer (FCC), HITL test using FCC, GNSS receiver and GNSS spoofer. In the process, two drone models were used, hence each result was compared and verified using a simple modeled drone and a simulator of Micropilot. In addition, through step-by-step verification, the performance of the drone redirection algorithm and system was verified by considering the performance of RADAR, GNSS spoofer, GNSS receiver, and FCC. Through this verification process, it was possible to identify debugging and redesign factors that may occur during the integration stage for each equipment before field testing. Therefore, it was possible to reduce the time and cost of debugging and redesign that could be required in the field test.