The Spline Multi-Target Multi-Bernoulli Filter

被引：0
|
作者：
Chen, Yiqi [1 ]
Wei, Ping [1 ]
Li, Gaiyou [1 ]
Gao, Lin [1 ]
Li, Yuansheng [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu, Peoples R China
来源：
PROCEEDINGS OF 2020 23RD INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2020) | 2020年
基金：
中国国家自然科学基金;
关键词：
nonlinear non-Gaussian filtering; multi-target tracking; random finite set; multi-target multi-Bernoulli; splines; RANDOM FINITE SETS; TRACKING;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A B-Spline implementation of the multi-target multi-Bernoulli (MeMBer) filter for nonlinear Gaussian/non-Gaussian models is proposed. Specifically, the spatial PDF (SPDF) of each Bernoulli component in the MeMBer density is represented by a B-Spline curve, which is characterized by the spline knots and control points. The spline knots and control points are then propagated via prediction and update steps of the MeMBer filter. Besides, a revised fitting algorithm is proposed so as to improve the implementation efficiency. The effectiveness of the proposed method is assessed via simulation experiments.
引用
收藏
页码：119 / 124
页数：6
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