A High-precision Direction Finding Method for Aerial Search and Rescue Targets Based on Optimized Firefly Particle Filtering

Aviation search and rescue, as an important requirement for the development of military information construction, is of great significance for our military to carry out joint search and rescue to ensure the safety of personnel during wartime missions. Accurately and quickly obtaining the direction and location information of the target to be searched and rescued is the most crucial step in aviation search and rescue. However, in real-world search and rescue environments, airborne direction finding data often results in significant errors due to the obstruction of antennas by equipment such as landing gear and tires on the aircraft. This article proposes an optimized firefly particle filter algorithm that combines outlier detection ideas and obtains high-precision target direction and position information by integrating airborne GPS, airborne IMU, radio ranging data, and dual antenna direction finding data. The simulation results show that in complex environments, this algorithm outperforms other algorithms in terms of accuracy, convergence time, and applicability.