Angle only tracking with particle flow filters

Fred Daum; Jim Huang

doi:10.1117/12.894895

16 September 2011 Angle only tracking with particle flow filters

Fred Daum, Jim Huang

Proceedings Volume 8137, Signal and Data Processing of Small Targets 2011; 81370R (2011) https://doi.org/10.1117/12.894895
Event: SPIE Optical Engineering + Applications, 2011, San Diego, California, United States

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.

Citation Download Citation

Fred Daum and Jim Huang "Angle only tracking with particle flow filters", Proc. SPIE 8137, Signal and Data Processing of Small Targets 2011, 81370R (16 September 2011); https://doi.org/10.1117/12.894895

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