对于传统雷达系统,目标检测和目标跟踪通常被看作是两个独立的过程。然而,在跟踪阶段,可以获得目标位置信息(跟踪信息),将该信息反馈至目标检测器将有助于提升检测性能。为此,该文提出一种航迹恒虚警的目标检测跟踪一体化算法。首先根据目标跟踪信息和目标运动模型,建立预测波门;然后按照给定的航迹虚警概率,计算帧虚警概率,即预测波门内至少出现一个虚警的概率;最终根据帧虚警概率调整预测波门内的检测门限,完成目标检测过程。仿真实验表明,该算法可以大大提高目标检测概率,推远目标跟踪距离,同时也可以保证目标突然消失时航迹能够以较高的概率结束。
For traditional radar systems, target detection and target tracking are usually conducted separately. However, at the tracking stage, the target location information(tracking information) can be obtained, which can be fed back to the target detector to improve detection performance. Therefore, in this paper, an integrated detection and tracking algorithm with constant track false alarm rate is proposed. Firstly, a predicted gate is established according to the tracking information and target dynamic model. Then according to a prescribed track false alarm rate, the frame false alarm rate, i.e., the probability that there exists at least one false alarm in the predicted region, is calculated. Finally, detection thresholds in the predicted region are adjusted according to the frame false alarm rate, and target detection process is accomplished. Simulation results indicate that the proposed algorithm can significantly improve target detection probability and extend the tracking distance, and meanwhile it can guarantee that the target track can be terminated with a high probability when the target disappears suddenly.