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Tracking for maneuvering target trajectories via the 3D circular filter

机译:通过3D圆形滤波器跟踪机动目标轨迹

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摘要

A circular prediction algorithm is proposed, which integrates the measured data into the filter and constrains the prediction to lie on a smooth curve modeled by an arc of a circle. The circular prediction is entirely defined in relation to three measurements in three-dimensional space. It is therefore not necessary to calculate the center and the radius of the circle. To obtain the statistics of the circular prediction, the unscented transformation has been utilized. The proposed hybrid filter combines the circular prediction and a constant velocity prediction by utilizing the covariance intersection (CI). This combined prediction can be updated with the subsequent measurement using a linear estimator. The proposed technique is compared with standard filters and the interacting multiple model (IMM) approach on a benchmark trajectory which includes coordinated turns and straight line maneuvers.
机译:提出了一种圆形预测算法,该算法将测量数据集成到滤波器中,并将预测约束在由圆弧建模的平滑曲线上。相对于三维空间中的三个测量,完全定义了循环预测。因此,不必计算圆的中心和半径。为了获得循环预测的统计数据,已利用了无味变换。提出的混合滤波器通过利用协方差交点(CI)将循环预测和恒速预测结合在一起。可以使用线性估计器通过后续测量来更新此组合预测。将所提出的技术与标准过滤器以及在包括协调的转弯和直线操纵的基准轨迹上的交互多模型(IMM)方法进行了比较。

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