摘要: For dense multi-target scenarios, the existing Track-Before-Detect (TBD) algorithm based on Probability Hypothesis Density (PHD) has the shortcomings of underestimation of the number of targets and the waste of a large number of p... 展开
作者 | Pei Jiazheng Huang Yong Dong Yunlong Chen Baoxin | ||
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作者单位 | |||
文集名称 | 2018 International Conference on Radar | ||
出版年 | 2018 | ||
出版社/出版地 | Institute of Electrical and Electronics Engineers / Piscataway | ||
会议名称 | IEEE International Conference on Radar | ||
开始页/总页数 | 1 / 6 | ||
会议日期/会议地点 | 20180827-31 / Brisbane | 会议年 | 2018 |
中图分类号 | TN95-53 | ||
关键词 | particle filtering (numerical methods) probability target tracking | ||
馆藏号 | N2019052200073381 |