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Proceedings Paper

Bayesian Adaptative Filter For Multiple Maneuvering Target Tracking With Measurements Of Uncertain Origin
Author(s): B. Tomasini; M. Gauvrit; B. Siffredi
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Paper Abstract

The Joint Probabilistic Data Association Filter (JPDAF) has been successfully used for tracking multiple targets in the presence of source uncertainty and measurement inaccuracy. In this field and using this technic, the problem of multiple manoeuvring target tracking will be considered. The aim of this paper concerns the extension of the Adaptative Probabilistic Data Association Filter (APDAF) in reference to monotarget tracking to the multitarget tracking problem. This Adaptative Joint Probabilistic Data Association Filter (AJPDAF) estimates the state of each target in a cluttered environment when the noise statistics are unknown. Simulation results on multiple manoeuvring target tracking using simulation data are presented.

Paper Details

Date Published: 5 September 1989
PDF: 6 pages
Proc. SPIE 1096, Signal and Data Processing of Small Targets 1989, (5 September 1989); doi: 10.1117/12.960354
Show Author Affiliations
B. Tomasini, CSEE (France)
M. Gauvrit, Centre d'Etudes et de Recherche de TOULOUSE CERT/ONERA (France)
B. Siffredi, Direction des Constructions Navales DCN/CAPCA (France)

Published in SPIE Proceedings Vol. 1096:
Signal and Data Processing of Small Targets 1989
Oliver E. Drummond, Editor(s)

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