Paper
15 April 2010 Distance and velocity estimation of projectiles based on Doppler radar signals using a nonlinear discrete-time observer
Sonja Podjawerschek, Emil Spahn, Joachim Horn, Michael Brodmann, Ralf Himmelsbach
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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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sonja Podjawerschek, Emil Spahn, Joachim Horn, Michael Brodmann, and Ralf Himmelsbach "Distance and velocity estimation of projectiles based on Doppler radar signals using a nonlinear discrete-time observer", Proc. SPIE 7698, Signal and Data Processing of Small Targets 2010, 76980G (15 April 2010); https://doi.org/10.1117/12.849885
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Cited by 4 scholarly publications.
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KEYWORDS
Radar

Doppler effect

Complex systems

Real-time computing

Nonlinear optics

Process modeling

Systems modeling

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