The authors present an algorithm to follow-up trajectories in real time which the number of trajectories evolves in time. The suggested method lies within the Radarnet project. The authors are interested in this article in the follow-up of trajectories in a disturbed environment or the loss of measurements is considered. The Kalman filter, powerful for this type of application, presents two essential problems, as the problem of association estimate-measurements solved by an original method inspired of the graph theory, or the states noises estimate and the output additive noises to the processes observed. The filters are made more autonomous thanks to their estimates by decomposition on line on the wavelet basis. The performances of this method are illustrated with simulations results.
Evaluation of novel target tracking method / target tracking for automotive radar applications
Entwicklung eines neuartigen Zielverfolgungsverfahren / Zielverfolgung für fahrzeugtechnische Radaranwendungen
2004
4 Seiten, 7 Bilder, 4 Quellen
Aufsatz (Konferenz)
Englisch
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