Computer Engineering and Applications ›› 2018, Vol. 54 ›› Issue (6): 234-240.DOI: 10.3778/j.issn.1002-8331.1610-0149

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

ZHANG Yawen, HU Shiqiang   

  1. School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai 200240, China
  • Online:2018-03-15 Published:2018-04-03



  1. 上海交通大学 航空航天学院,上海 200240

Abstract: 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.

Key words: airspace surveillance, radar, visible light sensor, Tracking-Learning-Detecting(TLD), target tracking

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。

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