指挥控制与仿真2017，Vol.39Issue(6)：47-52,6.DOI:10.3969/j.issn.1673-3819.2017.06.011
一种避免矩阵拆分的改进JPDA算法
A Modified Algorithm of Joint Probabilistic Data Association Avoiding Matrix Splitting
石汪权 1袁富宇 1蒲勇1
作者信息
- 1. 江苏自动化研究所,江苏连云港 222061
- 折叠
摘要
Abstract
The Joint Probabilistic Data Association Algorithm is highly effective for multiple targets tracking in clutter , but its real-time is poor in dense targets or echo environment , so that it can not satisfy some complex scenario of multiple targets tracking.A modified JPDA algorithm is proposed to solve the problem .In the proposed algorithm , the process of splitting the validation matrix is avoided , so the calculation of association probability is simplified and the real-time is improved , simula-tion results proved the effectiveness of the proposed algorithm .关键词
数据关联/多目标跟踪/矩阵拆分Key words
data association/multiple targets tracking/matrix splitting分类
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石汪权,袁富宇,蒲勇..一种避免矩阵拆分的改进JPDA算法[J].指挥控制与仿真,2017,39(6):47-52,6.
