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Track Processing Approach for Bearing-Only Target Tracking

机译:纯方位目标跟踪的跟踪处理方法

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This paper mainly studies angle-measurement based track processing approach to overcome the existing problems in the applications of traditional approaches for bearing-only target locating and tracking system. First, this paper gives suited data association algorithms including track initiation and point-track association. Moreover, a new tracking filtering association gate method is presented through analysis of the target motion characteristics in polar coordinates for improving bearing-only measurement confirming efficiency of real target and limiting false track overextension with the dense clutter. Then, by analyzing the feasibility of using multi-model technology, the IMM is adopt as filtering algorithm to solve existing problem in bearing-only tracking for complicated target motion in two dimensional angle plane. As the results, the two dimensional bearing-only tracking accuracy of real target is improved and false tracking is greatly limited. Moreover, computation cost of IMM is analyzed in view of the real-time demand of bearing-only tracking. Finally, this paper gives some concrete summary of multi-model choosing principle. The application of the proposed approach in a simulation system proves its effectiveness and practicability.
机译:本文主要研究基于角度测量的跟踪处理方法,以克服传统方法在纯方位目标定位和跟踪系统中的应用中存在的问题。首先,本文给出了合适的数据关联算法,包括轨迹起始和点轨迹关联。此外,通过分析极坐标中的目标运动特征,提出了一种新的跟踪滤波关联门方法,以提高纯方位测量的确定性,从而确定真实目标的效率,并通过密集的杂波来限制虚假轨道的过度扩展。然后,通过分析使用多模型技术的可行性,采用IMM作为滤波算法,解决了二维角度平面上复杂目标运动的纯方位跟踪问题。结果,提高了真实目标的二维纯方位跟踪精度,并且极大地限制了虚假跟踪。此外,鉴于仅方位跟踪的实时需求,分析了IMM的计算成本。最后,本文对多模型选择原则进行了具体总结。该方法在仿真系统中的应用证明了其有效性和实用性。

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