An Algorithm of Heterogeneous Sensors Track Fusion for Target Tracking
Heterogeneous sensors have been widely used in the military and unmilitary systems. For target tracking, both radars and infrared sensors occupy a crucial role in getting target information. Radars provide the 3-D coordinates, while infrared sensors supplies azimuth and elevation information. Thus, it challenges the track fusion in the system involving both radars and infrared sensors. This paper focuses on the track fusion of the data from radars and infrared sensors. Temporal and spatial alignments need to be done to agree on a common notion of time and to the common reference coordinate system. Then a track fusion method based on maximum likelihood estimate is developed in this paper. Finally, simulations show the effectiveness of the algorithm.
Track Fusion Maximum Likelihood Estimate Heterogeneous Sensors Target Tracking
Yuhong Zhu Jie Chen Chen Chen Hui Wang
School of Automation, Beijing Institute of Technology, Beijing, 100081 Key Laboratory of Complex Sys School of Automation, Beijing Institute of Technology, Beijing, 100081 Department of Automation, Tsi
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
1383-1387
2010-05-26（万方平台首次上网日期，不代表论文的发表时间）