Frontiers of Information Technology & Electronic Engineering ( IF 2.7 ) Pub Date : 2021-01-20 , DOI: 10.1631/fitee.2000105 Weihua Wu , Yichao Cai , Hongbin Jin , Mao Zheng , Xun Feng , Zewen Guan
In this study, we extend traditional (single-target) hybrid systems to multi-target hybrid systems with a focus on the multi-maneuvering-target tracking system. This system consists of a continuous state, a discrete and switchable state, and a discrete, time-constant, and unique state. By defining a new generalized labeled multi-Bernoulli density, we prove that it is closed under the Chapman-Kolmogorov prediction and Bayes update for multi-target hybrid systems. In other words, we provide the exact derivation of a solution to this system, i.e., the multi-model generalized labeled multi-Bernoulli filter, which has been developed without strict proof.
中文翻译:
多模型广义标记多伯努利滤波器的推导:多目标混合系统的解决方案
在这项研究中,我们将传统(单目标)混合系统扩展到多目标混合系统,重点是多机动目标跟踪系统。该系统由连续状态,离散且可切换的状态以及离散,时间恒定且唯一的状态组成。通过定义一个新的广义标记的多伯努利密度,我们证明它在Chapman-Kolmogorov预测和贝叶斯更新的多目标混合系统下是封闭的。换句话说,我们提供了该系统解决方案的精确推导,即未经严格证明而开发的多模型广义标记多伯努利滤波器。