Aviation anti-interference target tracking technology based on fusion of secondary radar information

In the process of artificial intelligence and intelligent algorithms driving computer technology to move forward in the direction of high precision and strong adaptability, aviation target tracking technology faces the dual challenges of accuracy and stability in complex interference environments. To solve the above problems, an aviation anti-interference target tracking technology based on the fusion of secondary radar information is proposed. The dynamic sliding window is used to detect pulse signals, and the tracking stability is guaranteed by the track maintenance system. The short-range tracking and scanning track data are fused to build a distributed multi-radar fusion system for state estimation, and the three-level Kalman filter is used to solve the time-space alignment problem, and finally the aviation anti-interference target tracking is realized. Experiments show that the research method significantly reduces the absolute error to an average of 12.45, which is more than 56% lower than the comparison method, and greatly improves the tracking success rate to 78% under G8 high-intensity interference, which is 41 percentage points higher than the comparison method. Experiments show that the fusion of secondary radar information effectively enhances the accuracy and stability of target tracking, providing a solid technical support for aviation safety in complex electromagnetic environments.