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A track association algorithm for airborne radar and IR sensor

机译:机载雷达和红外传感器的航迹关联算法

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摘要

The achievement of multi-sensor data fusion is based on the same target, so under the multi-target environment, the characteristics of multi-target need to be distinguished in a certain way, particularly in heterogeneous sensors data fusion. Fortunately, track association provides a method to solve this problem. In this paper, based on the airborne radar and IR sensor, a track association algorithm for heterogeneous sensor is proposed. At first, the discriminant function for track association is given through the research of fuzzy comprehensive theory. Then, the decision criterion, which includes azimuth and elevation, is used to track association. Finally, the simulation results show the effectiveness and practicality of this algorithm.
机译:多传感器数据融合的实现是基于同一目标的,因此在多目标环境下,需要以某种方式来区分多目标的特征,特别是在异构传感器数据融合中。幸运的是,轨道关联提供了一种解决此问题的方法。本文基于机载雷达和红外传感器,提出了一种异构传感器的航迹关联算法。首先,通过模糊综合理论的研究,给出了航迹关联的判别函数。然后,将包括方位角和高程的决策标准用于跟踪关联。最后,仿真结果表明了该算法的有效性和实用性。

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