A high-speed algorithm for particle cbmember filter

被引：0
|
作者：
He, X.Y. [1 ,2 ]
Liu, G.X. [2 ]
机构：
[1] School of Mechano-electronic Engineering, Xidian University, Xi'an,710071, China
[2] School of Physics and Electronic Information, Luoyang Normal University, Luoyang,471934, China
来源：
IAENG International Journal of Computer Science | 2016年 / 43卷 / 04期
关键词：
The particle cardinality-balanced multi-target multi-Bernoulli (CBMeMBer) filter developed recently is an effective multi-target tracking (MTT) algorithm for nonlinear tracking models. However; the main drawback of this filter is that a significant amount of time is required to compute measurement-updated tracks in the update step; and discard particles with low weights and reproduce particles with high weights in the resampling step. To overcome such a drawback; a high-speed algorithm for particle CBMeMBer filter is proposed in this paper; which modifies the particle CBMeMBer recursion equations by taking the predicted state estimations and measurement likelihoods into consideration. The performance of the presented algorithm has been verified by numerical simulation experiments. © 2016; IAENG International Journal of Computer Science;
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页码：456 / 462
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