Result: Global cost of assignment in the TBM framework for association of uncertain ID reports
Title:
Global cost of assignment in the TBM framework for association of uncertain ID reports
Authors:
Source:
Sensor management in complex systemsAerospace science and technology. 11(4):303-309
Publisher Information:
Paris: Elsevier, 2007.
Publication Year:
2007
Physical Description:
print, 22 ref
Original Material:
INIST-CNRS
Subject Terms:
Aeronautics astronautics, Aéronautique, astronautique, Mechanics acoustics, Mécanique et acoustique, Sciences exactes et technologie, Exact sciences and technology, Physique, Physics, Generalites, General, Instruments, appareillage, composants et techniques communs à plusieurs branches de la physique et de l'astronomie, Instruments, apparatus, components and techniques common to several branches of physics and astronomy, Informatique en physique expérimentale, Computers in experimental physics, Analyse de données: algorithmes et implémentations; gestion de données, Data analysis: algorithms and implementation; data management, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Organisation des mémoires. Traitement des données, Memory organisation. Data processing, Traitement des données. Listes et chaînes de caractères, Data processing. List processing. Character string processing, Telecommunications et theorie de l'information, Telecommunications and information theory, Théorie de l'information, du signal et des communications, Information, signal and communications theory, Théorie de l'information, Information theory, Approche probabiliste, Probabilistic approach, Enfoque probabilista, Capteur mesure, Measurement sensor, Captador medida, Croyance, Belief, Creencia, Fouille donnée, Data mining, Busca dato, Guerre, War, Guerra, Modélisation, Modeling, Modelización, Méthode Monte Carlo, Monte Carlo method, Método Monte Carlo, Système complexe, Complex system, Sistema complejo, Taux fausse alarme, False alarm rate, Porcentaje falsa alarma, Belief function theory, Combat identification, Data association, Distance measure, Transferrable belief model
Document Type:
Conference
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
ISR division, DSTO-Maribyrnong, Bld J082, Rm 1013, PO Box 4331, Melbourne Vic 3001, Australia
ISSN:
1270-9638
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Metrology
Telecommunications and information theory
Metrology
Telecommunications and information theory
Accession Number:
edscal.18798213
Database:
PASCAL Archive
Further Information
Suppose we are given multiple independent reports on the count and identification (class, type, allegiance) of objects that are present in a certain volume of interest. The reports are uncertain (random and non-specific) and collected with the probability of detection Pd < 1 and the probability of false alarm Pf > 0. The problem is to estimate the actual number of objects and their true identity. Adopting the formalism of the belief function theory as interpreted by the transferable belief model (TBM), a solution is proposed which maximises the plausibility of the global assignment cost of identification reports. The proposed global cost of assignment is shown by Monte Carlo simulations to outperform its ad hoc alternatives.