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Proceedings Paper

Kalman-filter-aided correlation for parameter estimation
Author(s): Sylvie G. Tonda; Jean-Pierre Huignard
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Paper Abstract

Parameter estimation can be performed by either optical/digital correlation techniques or digital adaptive filtering. For a three- dimensional estimation of parameters, the problem is difficult to solve with correlation techniques, essentially because the correlation of the observed image with all reference images of the database is not practically possible. We propose a solution based on Kalman filter-aided correlation. This reduces the number of required correlations. The parameter estimation resulting from the digital filtering is used as the a priori knowledge. The correlation of the observed image is then performed with a small number of correlation filters, selected from the a priori information. The a posteriori parameters are given by whichever of the selected correlation filters provides the maximum correlation function. The method is tested in the particular application of determining the 3-D attitude of maneuvering targets.

Paper Details

Date Published: 29 October 1997
PDF: 10 pages
Proc. SPIE 3163, Signal and Data Processing of Small Targets 1997, (29 October 1997); doi: 10.1117/12.279520
Show Author Affiliations
Sylvie G. Tonda, Thomson-CSF (France)
Jean-Pierre Huignard, Thomson-CSF (France)

Published in SPIE Proceedings Vol. 3163:
Signal and Data Processing of Small Targets 1997
Oliver E. Drummond, Editor(s)

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