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The Labeled Multi-Bernoulli Filter for Multitarget Tracking With Glint Noise

机译:标记多伯努利滤波器,用于在闪烁噪声的情况下进行多目标跟踪

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摘要

A labeled multi-Bernoulli (LMB) filter is presented to perform multitarget tracking (MTT) for the glint noise. The measurement noise is modeled as a multivariate Student-t process. The variational Bayesian method is applied in the LMB framework with the augmented state. The predictive likelihood is calculated via minimizing the Kullback-Leibler divergence by the variational lower bound. Simulation results show that our approach is effective in MTT with the glint noise.
机译:提出了标记的多伯努利(LMB)滤波器,以对闪烁噪声执行多目标跟踪(MTT)。将测量噪声建模为多元Student-t过程。在具有扩展状态的LMB框架中应用了变分贝叶斯方法。预测似然是通过将Kullback-Leibler发散最小化下限值来计算的。仿真结果表明,我们的方法在带有闪烁噪声的MTT中是有效的。

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