【作者】 刘慧霞； 梁彦； 潘泉； 程咏梅；

【Author】 Liu Huixia,Liang Yan,Pan Quan,Cheng Yongmei College of Automation, Northwestern Polytechnical University, Xi’an 710072

【机构】 西北工业大学自动化学院；

【摘要】 基于雷达坐标系下建模的天波超视距雷达数据关联跟踪算法,由于较严重的多路径传播的不确定性导致在雷达坐标系下目标的多航迹问题。同时由于无法精确获得电离层状态,在坐标配准中常常引入较大的误差。本文在给定电离层状态模型条件下,在地理坐标系对运动目标建模而在雷达坐标系进行数据关联,将各传播模式的回波作为备选的竞争量测,运用动态规划的优化方式,在最大似然的意义下将VDA的回波与航迹的两维数据关联推广到回波、传播模式和航迹的三维数据关联,提出了一种电离层状态非稳定条件下的多路径Viterbi(MVUI)数据关联算法。仿真表明:MVUI提高了低检测概率时的跟踪性能,大大降低了失跟率,并提高了跟踪精度。更多还原

【Abstract】 The tracking system of Over-the-Horizon-Radars (OTHR) inevitably output multiple tracks for one target in radar coordinate because of serious multiple propagation modes. At the same time ,great error is usually introduced for the uncertain of the ionospheric state. In this paper, a Multipath Viterbi Data Association (MVUI) algorithm with uncertain ionospheric state is proposed, through modeling target movement in ground coordinate and implementing data association in radar coordinate so that Viterbi Data Association (VDA) is extended from association between measurement and track to association among measurement, propagation mode and track. The simulation results show that MVUI improves the tracking performance at low probabilities of detection.更多还原