Threat-based sensor management for joint target tracking and classification

被引:0
作者
Katsilieris, Fotios [1 ]
Driessen, Hans [2 ]
Yarovoy, Alexander [1 ]
机构
[1] Delft Univ Technol, Microwave Sensing Signals & Syst, Delft, Netherlands
[2] Thales Nederland BV, Hengelo, Netherlands
来源
2015 18TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION) | 2015年
关键词
Sensor management; operational risk; threat assessment; target tracking; target classification; COVARIANCE;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Joint target tracking and classification is a challenging problem where the class of a target must be estimated in addition to its kinematic states, such as position and velocity. This problem is of special importance both in civilian and in military domain, where target classification plays an important role in the decisions that an operator makes. Moreover, when several sensing options are available for performing joint target tracking and classification then a sensor management problem arises in addition to the joint tracking and classification problem. For addressing this sensor management problem, we propose managing the uncertainty in the threat-level of a target under observation. Since threat is a context-sensitive quantity, it can be defined in different operational contexts both civilian and military. This makes threat-based sensor management for joint classification and tracking a promising alternative to standard sensor management schemes that can be found in the literature. In order to support the latter statement and demonstrate the potential of our idea, we show simulated examples from both domains.
引用
收藏
页码:435 / 442
页数:8
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