基于空管雷达的航迹回溯方法研究与实现
Research and Implementation of Trajectory Retrospective Method Based on Air Traffic Control Radar

针对空管雷达在复杂杂波环境下容易出现航迹关联错误、目标跟踪丢失的问题，本文提出了一种基于多假设回溯处理的航迹回溯方法。该方法在航迹跟踪错误发生后的前八帧数据中，通过六种回溯处理任务，结合直线模型与圆形模型，对暂时航迹进行多模型匹配计算，直至找到正确的回溯点迹，并重新初始化航迹滤波器。实际应用表明，该方法能够有效恢复错误跟踪的航迹，显著提高航迹连续性和跟踪精度。
To address the issues of track association errors and target tracking loss in Air Traffic Control (ATC) radar under complex clutter environments, this paper proposes a trajectory retrospective method based on multi-hypothesis processing. Within the first eight frames after a tracking error occurs, the method performs six retrospective processing tasks. It combines linear and circular motion models to carry out multi-model matching calculations on tentative tracks until the correct retrospective plot is found, and then re-initializes the track filter. Practical application results demonstrate that this method can effectively recover erroneously tracked trajectories and significantly improve track continuity and tracking accuracy.