string(4) "2006" ["citation_id"]=

Affiliation(s) du ou des auteurs / Author(s) Affiliation(s)

array(1) { ["user"]=

NULL ["title"]= ⁽¹⁾ NULL ["citation_language"]= ^-- Fax : +33 (0) 3.83.50.46.66 ^-- ;

string(8) "18712024" ["citation_mjid"]=

⁽¹⁾ any means, without the prior written permission of INIST-CNRS.

 1053-587X   

validating track estimates obtained using the track estimate obeys approximately that are then used by the data set that produced the LLR at the false and true track acceptance probabilities. These techniques have potential for comparing the value by the log likelihood ratio (LLR) at the literature. The offline track validation procedure relies on extensive offline simulations to track estimate to it in the track estimate to a We present two procedures for target existence for use in a threshold. Using extreme value theory, we show of these two procedures is investigated through simulation of maximum likelihood estimation problems with similar structure. a set of obtain a broader class of track validation thresholds that in the track validation threshold. The performance of two active sonar tracking scenarios by comparing the maximum-likelihood probabilistic data association (ML-PDA) algorithm. The ML-PDA, developed for very low observable (VLO) target tracking, always provides a target the Gaussian distribution previously ascribed to also determine the Gumbel distribution rather than the tracking system. The real-time procedure uses the absence of a track estimate that must then be tested

2007, vol. 55 (2), n

INIST-CNRS, Cote INIST : 222 E3, 35400014953377.0020 on string(3) "eng" ["citation_keywords"]= (1) infoclient@inist.fr Catalogue   

Source / Source

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Résumé / Abstract

Anglais

BLANDING Wayne R.

Institute of string(49) "Institute

Nº notice refdoc (ud4) : 18712024

Signal processing ; Sonar ; Performance evaluation ; Simulation ; Gaussian distribution ; Extreme value ; Logarithmic function ; Likelihood ratio ; Algorithm ; Probabilistic approach ; Maximum likelihood ; Target tracking ; Personal digital assistant ; Off line ;

string(7) "aModele" ["Mode"]=

Procesamiento señal ; Sonar ; Evaluación prestación ; Simulación ; Curva Gauss ; Valor extremo ; Función logarítmica ; Relación verosimilitud ; Algoritmo ; Enfoque probabilista ; Maxima verosimilitud ; Auxiliar personal digital ; Fuera linea ;

string(0) "" ["citation_issn"]=

Traitement signal ; Sonar ; Evaluation performance ; Simulation ; Loi normale ; Valeur extrême ; Fonction logarithmique ; Rapport vraisemblance ; Algorithme ; Approche probabiliste ; Maximum vraisemblance ; Poursuite cible ; Assistant numérique personnel ; Hors ligne ;

2, allée du parc de Brabois

Extreme value theory ; maximum likelihood (ML) ; probabilistic data association (PDA) ; target tracking ; track validation ; of Toute reproduction ou diffusion même partielle, par quelque procédé ou sur tout support que ce soit, ne pourra être faite sans l"accord préalable écrit de l"INIST-CNRS.

Localisation / Location

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