Birth and Death in Multitarget Tracking Filters

被引:0
|
作者
Streit, Roy [1 ]
机构
[1] Metron Inc, Reston, VA 20190 USA
来源
2013 WORKSHOP ON SENSOR DATA FUSION: TRENDS, SOLUTIONS, APPLICATIONS (SDF) | 2013年
关键词
Birth and death processes; Boundary conditions; Branching processes; Finite point processes; Intensity filter; PHD filter; Probability generating function; Probability generating functional;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Continuous time birth and death processes are used to model the number of targets in multitarget tracking filters. The general problem is formulated for arbitrary boundary conditions that specify the initial distributions of the numbers of targets and clutter. Three examples are discussed, two of which are new. One uses a pure death process and Poisson numbers of prior and new targets-it gives the PHD intensity filter. The second is a pure death process with a specified number of targets in the prior and a Poisson distributed number of new targets. The third uses the same boundary conditions as the second example but with a combined target birth and death process. The behavior of these filters is compared in the special case when there are no measurements.
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页数:6
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