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Proceedings Paper

Distance and velocity estimation of projectiles based on Doppler radar signals using a nonlinear discrete-time observer
Author(s): Sonja Podjawerschek; Emil Spahn; Joachim Horn; Michael Brodmann; Ralf Himmelsbach
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Paper Abstract

We propose a new "quasi-global" observer design to determine the distance and velocity of projectiles in real-time. The detection of the projectile is realized by a low power Doppler radar at short distances (5m-10m). The advantage of a global observer design is the possibility to deal with large initial errors, which is important because of the usually unknown initial state of the observed system. The transformation to the nonlinear observability canonical form (NOCF) leads to linear error dynamics and this allows a traceable influence on the dynamic behaviour of the observer, which is essential for the time critical implementation on a real-time system. To benefit from these two advantages, the nonlinear system has to be transformed to the NOCF and an explicit expression of the inverse transformation has to be found. Since with this severe restriction the given problem can not be solved, we propose a numerically approximated inverse transformation in a bounded region of physical interest to allow the design of a quasi-global observer with linear error dynamics in the presented case. Based on this design the class of systems where this kind of observer can be applied has been enlarged considerably.

Paper Details

Date Published: 15 April 2010
PDF: 12 pages
Proc. SPIE 7698, Signal and Data Processing of Small Targets 2010, 76980G (15 April 2010); doi: 10.1117/12.849885
Show Author Affiliations
Sonja Podjawerschek, Institute of Saint-Louis (France)
Emil Spahn, Institute of Saint-Louis (France)
Joachim Horn, Helmut-Schmidt-Univ. (Germany)
Michael Brodmann, Univ. of Applied Sciences Gelsenkirchen (Germany)
Ralf Himmelsbach, Institute of Saint-Louis (France)

Published in SPIE Proceedings Vol. 7698:
Signal and Data Processing of Small Targets 2010
Oliver E. Drummond, Editor(s)

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