机构:
Metron Inc, Reston, VA 20190 USAMetron Inc, Reston, VA 20190 USA
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.
机构:
Mathematics Faculty, Department of Statistics and O.R, University Complutense of MadridMathematics Faculty, Department of Statistics and O.R, University Complutense of Madrid
Artalejo J.R.
Gómez-Corral A.
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h-index: 0
机构:
Mathematics Faculty, Department of Statistics and O.R, University Complutense of MadridMathematics Faculty, Department of Statistics and O.R, University Complutense of Madrid
机构:
Univ Sheffield, Dept Probabil & Stat, Sheffield S3 7RH, S Yorkshire, EnglandUniv Sheffield, Dept Probabil & Stat, Sheffield S3 7RH, S Yorkshire, England
Wilkinson, Richard D.
Tavare, Simon
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h-index: 0
机构:
Univ Cambridge, DAMTP, Ctr Math Sci, Cambridge CB3 0WA, EnglandUniv Sheffield, Dept Probabil & Stat, Sheffield S3 7RH, S Yorkshire, England
机构:
Univ Nantes, Lab Math Jean Leray, 2 Rue Houssiniere,BP 92208, F-44322 Nantes 03, FranceUniv Nantes, Lab Math Jean Leray, 2 Rue Houssiniere,BP 92208, F-44322 Nantes 03, France
Lavancier, Frederic
Le Guevel, Ronan
论文数: 0引用数: 0
h-index: 0
机构:
Univ Rennes, CNRS, IRMAR, Rennes, FranceUniv Nantes, Lab Math Jean Leray, 2 Rue Houssiniere,BP 92208, F-44322 Nantes 03, France