基于航路-航迹关联的天波超视距雷达航迹分类

天波超视距雷达的最终任务是检测、跟踪我方感兴趣的目标。将这些目标从跟踪器输出的航迹集合中提取出来是一个难点。考虑一类存在先验航路信息的航迹辨识问题，基于假设检验理论与分类思想，提出了一种多航迹-多航路情况下的天波超视距雷达航迹分类算法。在建立的空中走廊模型基础上，先后利用目标位置、航向信息与航路做相关判断，计算航迹-航路相关代价，据此将航迹分为航路目标航迹及非航路目标航迹。仿真结果表明，提出的航迹分类算法在航路数量适中的情况下正确分类概率达到90%。

Tracks classification based on airway-track association for over-the-horizon radar

The ultimate task of over-the-horizon radar is to detect and track targets that we have interest in. It is difficult to pick them out from the output of tracks by a tracker. Considering a class of track identification problems with prior airways, based on the hypothesis testing and classification ideology, a track classification algorithm for over-the-horizon radar with multiple tracks and multiple airways is proposed. Based on the air corridor model built, both target position and direction information are used to correlate tracks with airways, thus obtaining the cost of a track generated by an airway target. Then tracks are divided into airways target tracks and non-airway ones. Simulation results show the correct classification probability of the proposed algorithm approaches to 90% under a moderate amount of airways.