这种新的贝叶斯滤波算法是粒子滤波器与划分采样技术和假设计算的有机结合。
The proposed algorithm is a combination of the partition sampling technique and hypothesis calculations with the particle filter.
在粒子滤波中，防止粒子退化的两个关键因素是选择适当的采样建议分布和重采样算法。
In particle filtering, the two key issues for avoiding particles degradation are the choosing of proper proposal distribution and resampling algorithm.
提出了一种结合粒子滤波器和吉布斯采样器的多机动目标跟踪算法，可以很好地解决在杂波环境下的多机动目标跟踪问题。
So a new multitarget tracking algorithm is proposed, which combines the particle filter and the Gibbs sampler, and can track maneuvering multitarget in cluttered environment very.
粒子滤波算法(PF)中，序列重要性采样引起采样点贫化，进一步经过重采样后造成分集度损失。
In particle filters (PF), sequential importance sampling will result in sample impoverishment and further the loss of diversity after resampling.
与粒子滤波算法相比，其优点是不需要重采样步骤和不存在粒子退化现象。
Compared with the particle filter (PF), it avoids the resampling step and the particle degeneracy phenomenon.
退化现象是应用粒子滤波算法的一个主要障碍，常规的再采样方法虽然可解决退化问题，但容易产生粒子耗尽现象。
Degeneracy phenomenon is a main disadvantage to particle filter application, common re-sampling methods can resolve degeneracy phenomenon, but the sample impoverishment is deduced.
退化现象是应用粒子滤波算法的一个主要障碍，常规的再采样方法虽然可解决退化问题，但容易产生粒子耗尽现象。
The structure of the formula is simple and easy to compute, the linear system method is superior to the former for handling the degeneracy problem.
退化现象是应用粒子滤波算法的一个主要障碍，常规的再采样方法虽然可解决退化问题，但容易产生粒子耗尽现象。
The structure of the formula is simple and easy to compute, the linear system method is superior to the former for handling the degeneracy problem.
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