Target tracking with range and bearing measurements via robust linear filtering
Contribuinte(s) |
[Unknown] |
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Data(s) |
01/01/2007
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Resumo |
In this paper we provide a robust version of a linear Kalman filter for target tracking with nonlinear range and bearing measurements. Moreover, we prove that the state estimation error is bounded in a probabilistic sense. We compare our approach with the current state of the art in converted radar measurement based linear filtering.<br /> |
Identificador | |
Idioma(s) |
eng |
Publicador |
IEEE |
Relação |
http://dro.deakin.edu.au/eserv/DU:30008034/pathirana-targettracking-2007.pdf http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4496832&isnumber=4496790 |
Direitos |
2007, IEEE |
Palavras-Chave | #Kalman filters #image motion analysis #matrix algebra #radar tracking #state estimation #target tracking |
Tipo |
Conference Paper |