Distributed joint target detection, tracking and classification via Bernoulli filter

Abstract This paper aims to solve the problem of distributed joint detection, tracking and classification (D‐JDTC) of a target on a peer‐to‐peer sensor network. The target can be present or not, can belong to different classes, and depending on its class can behave according to different kinematic m...

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Bibliografiset tiedot
Päätekijät: Gaiyou Li, Ping Wei, Giorgio Battistelli, Luigi Chisci, Lin Gao, Alfonso Farina
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Wiley 2022-06-01
Sarja:IET Radar, Sonar & Navigation
Aiheet:
Bayes methods
estimation theory
sensor fusion
tracking
tracking filters
Linkit:https://doi.org/10.1049/rsn2.12238
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