无气味卡尔曼滤波在无人机目标跟踪中的实现

2020 IEEE India Council International Subsections Conference (INDISCON) Pub Date : 2020-10-01 DOI:10.1109/INDISCON50162.2020.00050

R. S. Koteswara, Kausar Jahan, L. Kavitha

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引用次数: 2

摘要

将无气味卡尔曼滤波应用于三维自主空中目标的跟踪。对噪声干扰的测量结果进行了平滑处理，同时找出了车辆的速度分量。在蒙特卡罗仿真中进行了详细的研究。该算法的输出结果与扩展卡尔曼滤波的输出结果进行了比较，有助于对目标投放武器。

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Implementation of Unscented Kalman Filter to Autonomous Aerial Vehicle for Target Tracking

Unscented kalman filter is applied for tracking of a 3-dimensional autonomous aerial target. The noise corrupted measurements are smoothed and at the same time the vehicle's velocity components are found out. Detailed study is carried out in Monte-Carlo simulation. The outputs of the algorithm are compare with that of extended Kalman filter and are useful for releasing weapon on to the target.

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2020 IEEE India Council International Subsections Conference (INDISCON)

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