Title :
A new formulation of IPDAF for tracking in clutter
Author :
Dezert, Jean ; Ning Li ; Li, X. Rong
Author_Institution :
ONERA, Chatillon, France
fDate :
Aug. 31 1999-Sept. 3 1999
Abstract :
An improved version of Integrated Probabilistic Data Association Filter (IPDAF) based on a new concept of probability of target perceivability was introduced recently. This paper presents theoretical results of a new formulation for IPDAF. Validity and comparison of this new IPDAF with its previous version is discussed through simulations results presented at the end of the paper. This provides a new basis of an integrated approach to track initiation, confirmation, termination and maintenance.
Keywords :
filtering theory; probability; sensor fusion; target tracking; IPDAF; clutter; integrated probabilistic data association filter; target perceivability; track confirmation; track initiation; track maintenance; track termination; Clutter; Estimation; Facsimile; Maintenance engineering; Probabilistic logic; Simulation; Target tracking; IPDAF; Tracking; perceivability;
Conference_Titel :
Control Conference (ECC), 1999 European
Conference_Location :
Karlsruhe
Print_ISBN :
978-3-9524173-5-5
