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Proceedings Paper

Angle only tracking with particle flow filters
Author(s): Fred Daum; Jim Huang
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Paper Abstract

We show the results of numerical experiments for tracking ballistic missiles using only angle measurements. We compare the performance of an extended Kalman filter with a new nonlinear filter using particle flow to compute Bayes' rule. For certain difficult geometries, the particle flow filter is an order of magnitude more accurate than the EKF. Angle only tracking is of interest in several different sensors; for example, passive optics and radars in which range and Doppler data are spoiled by jamming.

Paper Details

Date Published: 16 September 2011
PDF: 11 pages
Proc. SPIE 8137, Signal and Data Processing of Small Targets 2011, 81370R (16 September 2011); doi: 10.1117/12.894895
Show Author Affiliations
Fred Daum, Raytheon Co. (United States)
Jim Huang, Raytheon Co. (United States)


Published in SPIE Proceedings Vol. 8137:
Signal and Data Processing of Small Targets 2011
Oliver E. Drummond, Editor(s)

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