Asynchronous Multi-sensor Data Fusion with Decentralized IMM-PDAF

被引：0
作者：
Park, W. J. [1 ]
Kang, C. H. [1 ]
Kim, S. Y. [1 ]
Park, C. G. [1 ]
机构：
[1] Seoul Natl Univ, Dept Mech & Aerosp Engn, Seoul 08826, South Korea
来源：
2018 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEE IEEM) | 2018年
关键词：
multi-sensor data fusion; maneuvering target tracking; IMM; MANEUVERING TARGET; TRACKING; ALGORITHM;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, asynchronous multi-sensor fusion with decentralized IMM-PDAF is designed. To improve the estimation performance for the maneuvering target in clutter, interacting multiple model (IMM) based probabilistic data association filter (PDAF) is utilized, and multiple sensors are assumed to be asynchronous to reflect the real multi-sensor application. To verify the tracking filter, simulations for tracking maneuvering target with asynchronous multi-sensor fusion are carried out. The simulation results show that the designed filter tracks target robustly, and fusing asynchronous multi-sensor reduces the estimation error.
引用
收藏
页码：1811 / 1815
页数：5
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