@inproceedings{7e81a15fd325490791cbe74e1e0fd606,
title = "Multi-target tracking based on δ-GLMB filter with amplitude information",
abstract = "In many multi-targets tracking scenarios, the amplitude returning from targets are typically stronger than those from clutters. This information could be used to enhance the tracking performance by establishing more accurate clutter and target likelihoods. In this paper, we incorporate the amplitude information into the δ-Generalized Labeled Multi-Bernoulli (δ-GLMB) filter, which is based on the random finite set (RFS), and can output target tracks. In addition, we present the novel update equation of the δ-GLMB filter using amplitude likelihood function. Simulation results demonstrate the better performance via a linear multi-target scenario.",
keywords = "Bayesian filtering, amplitude information, multi-target tracking, random finite set, δ-GLMB filter",
author = "Changshun Yuan and Jun Wang and Shaoming Wei and Hong Xiang",
note = "Publisher Copyright: {\textcopyright} 2016 EuMA.; 13th European Radar Conference, EuRAD 2016 ; Conference date: 05-10-2016 Through 07-10-2016",
year = "2016",
language = "英语",
series = "2016 13th European Radar Conference, EuRAD 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "189--192",
booktitle = "2016 13th European Radar Conference, EuRAD 2016",
address = "美国",
}