低空目标的雷达/可见光协同监视跟踪方法研究  

Research on radar/visible light surveillance and tracking methods of target in low-altitude airspace

作　　者：张雅雯 胡士强[1] 

机构地区：[1]上海交通大学航空航天学院,上海200240

出　　处：《计算机工程与应用》2018年第6期234-240,共7页Computer Engineering and Applications

基　　金：航空科学基金(No.20142057006)

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 guarantee 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 rotorcraft 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 monitoring/tracking system more accurate. The availability has been verified by results of numerical simulation.

关 键 词：空域监视 雷达 可见光传感器 跟踪-学习-检测 协同跟踪 

分 类 号：TN953[电子电信—信号与信息处理]