低空目标的雷达/可见光协同监视跟踪方法研究

摘要

近年来,随着通用航空和旋翼无人机的飞速发展,对相关空域的安全性监视与管理提出了迫切要求.由于雷达在低空空域存在探测盲区,极易受到杂波干扰,无法准确获取目标信息,而ADS-B系统大规模布设存在局限性,低空空域的有效监视与管理成为研究的热点.研究了一种低空目标的雷达/可见光协同监视跟踪方法,该方法基于跟踪-学习-检测(TLD)架构,将雷达作为主跟踪器,可见光传感器作为检测器,通过交互多模型算法和学习器实现量测模型切换和数据在线更新,从而获取更准确的目标状态信息,实现低空空域更精确的监视和目标跟踪,数据仿真说明了该方法的有效性.%With the great development of general aviation and rotor unmanned aerial vehicle,the urgent need is to guaran-tee the safety of airspace monitoring and management.Since radar has a wide tracking-blind area in low-airspace,radar echo will be disturbed easily by cluster waves which result in exception of the target information gathering.Large-scale arrangement of ADS-B system also has a limitation,thus research on low-airspace surveillance and management has been a hot topic nowadays.Here,a radar/visible light monitoring and tracking method is proposed,which targeting the rotor-craft in low-altitude airspace. Based on the framework of Tracking-Learning-Detecting(TLD), the radar is set as main tracker and visible light sensor as detector. Measurement model switching and data online update can be completed through interactive multi-model method and PN-learning process,while making the target state information and monitor-ing/tracking system more accurate.The availability has been verified by results of numerical simulation.