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Air Object Height Estimation with 2-D Radars using Fuzzy Logic

机译:利用模糊逻辑的二维雷达空中目标高度估计

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摘要

Multi-sensor tracking is a widely used technique in aerospace applications to precisely estimate the target kinematics. Particularly naval-based tracking systems utilise different types of radars (2-D, 3-D) in multi-sensor tracking scenarios for robust estimation. As the supplied information from 2-D radar contains only range and azimuth values, it is difficult to estimate the height of an air object using 2-D radar. To overcome the limitation, a geometric method is considered to combine the information obtained from two 2-D radars located as two different locations. As the solution of the geometric method depends upon certain geometric features, it is not possible to get good results with one pair of sensors. However, to obtain better results, the proposed method combines geometric as well as fuzzy logic-based validation and experimented with more than two 2-D radars. The issues related to 2-D radar tracking and the method comprising triangulation geometry and a fuzzy logic-based selection method to improve the height estimation accuracy in real time have been discussed.
机译:多传感器跟踪是航空航天应用中广泛使用的技术,用于精确估计目标运动学。特别是基于海军的跟踪系统在多传感器跟踪方案中利用不同类型的雷达(2-D,3-D)进行鲁棒估计。由于从2-D雷达提供的信息仅包含距离和方位角值,因此很难使用2-D雷达估算空中物体的高度。为了克服该限制,考虑了一种几何方法来组合从位于两个不同位置的两个2-D雷达获得的信息。由于几何方法的解决方案取决于某些几何特征,因此一对传感器不可能获得良好的结果。然而,为了获得更好的结果,该方法结合了几何以及基于模糊逻辑的验证,并使用了两个以上的二维雷达进行了实验。讨论了与二维雷达跟踪有关的问题以及包括三角剖分几何和基于模糊逻辑的选择方法以实时提高高度估计精度的方法。

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