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Proceedings Paper

The effect of various filters on covariance consistency in the presence of a nonlinear tracking problem
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Paper Abstract

The new generation of high resolution radars now being developed present a nonlinear tracking problem due to a combination of long target ranges, small range errors, and relatively imprecise angle measurements. A variety of filtering techniques have been proposed for ameliorating the effects of this non-linearity, including the (debiased) converted measurements Kalman filter and the unscented filter. The benefits of these techniques are often described in terms of tracking error; however, for handover of a dense target complex to downrange sensors, it is as important that the errors be consistent with their ascribed covariance. The purpose of this paper is to identify when the nonlinear conversion bias effects covariance consistency by examining the relative performance of various filtering techniques.

Paper Details

Date Published: 21 September 2007
PDF: 12 pages
Proc. SPIE 6699, Signal and Data Processing of Small Targets 2007, 66990B (21 September 2007); doi: 10.1117/12.739728
Show Author Affiliations
Laura J. Ritter, Johns Hopkins Univ. Applied Physics Lab. (United States)
Bradford Weir, Johns Hopkins Univ. Applied Physics Lab. (United States)

Published in SPIE Proceedings Vol. 6699:
Signal and Data Processing of Small Targets 2007
Oliver E. Drummond; Richard D. Teichgraeber, Editor(s)

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