A robust tracking method focusing on target fluctuation and maneuver characteristics

Radar is an important tool for aiding in bird strike mitigation as part of overall safety management systems at civilian and military airfields. However, the diverse movement trajectories and irregular echo power fluctuations cause existing multitarget tracking algorithms to face many challenges such as detection uncertainty and maneuver uncertainty. Therefore, this paper proposes a robust tracking method focusing on target fluctuation and maneuver characteristics. Firstly, a tracking information feedback mechanism based on the fluctuation model of bird targets is established, and the measurement set in the predicted gate is reconstructed to solve the problem of track breakages caused by the echo power fluctuation. Secondly, an adaptive parameter filter model is designed to enhance maneuver adaptability. Finally, simulation and experimental data verification show that the proposed method is more adaptive to bird target characteristics and can effectively improve the tracking performance without significantly increasing computation.