The Labeled Multi-Bernoulli Filter for Multitarget Tracking With Glint Noise

被引：24
|
作者：
Dong, Peng [1 ]
Jing, Zhongliang [1 ]
Leung, Henry [2 ]
Shen, Kai [1 ]
Li, Minzhe [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Shanghai 200240, Peoples R China
[2] Univ Calgary, Dept Elect & Comp Engn, Calgary, AB T2N 1N4, Canada
来源：
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2019年 / 55卷 / 05期
基金：
中国国家自然科学基金; 国家自然科学基金重大项目;
关键词：
Noise measurement; Radio frequency; Target tracking; Gaussian distribution; Gamma distribution; Covariance matrices; Bayes methods; Glint noise; labeled multi-Bernoulli (LMB) filter; multitarget tracking (MTT); EXTENDED TARGET TRACKING; RANDOM FINITE SETS; ALGORITHM;
D O I：
10.1109/TAES.2018.2884183
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
A labeled multi-Bernoulli (LMB) filter is presented to perform multitarget tracking (MTT) for the glint noise. The measurement noise is modeled as a multivariate Student-t process. The variational Bayesian method is applied in the LMB framework with the augmented state. The predictive likelihood is calculated via minimizing the Kullback-Leibler divergence by the variational lower bound. Simulation results show that our approach is effective in MTT with the glint noise.
引用
收藏
页码：2253 / 2268
页数：16
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