The Spline Multi-Target Multi-Bernoulli Filter

Yiqi Chen, P. Wei, Gaiyou Li, Lin Gao, Yuansheng Li
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Abstract

A B-Spline implementation of the multi-target multi-Bernoulli (MeMBer) filter for nonlinear Gaussian/non-Gaussian models is proposed. Specifically, the spatial PDF (SPDF) of each Bernoulli component in the MeMBer density is represented by a B-Spline curve, which is characterized by the spline knots and control points. The spline knots and control points are then propagated via prediction and update steps of the MeMBer filter. Besides, a revised fitting algorithm is proposed so as to improve the implementation efficiency. The effectiveness of the proposed method is assessed via simulation experiments.
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样条多目标多伯努利滤波器
提出了一种用于非线性高斯/非高斯模型的多目标多伯努利(成员)滤波的b样条实现方法。具体来说,成员密度中每个伯努利分量的空间PDF (SPDF)由一条b样条曲线表示,该曲线由样条结点和控制点表征。然后通过成员过滤器的预测和更新步骤传播样条结点和控制点。此外,提出了一种改进的拟合算法,提高了算法的执行效率。仿真实验验证了该方法的有效性。
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