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16 September 2011 Angle only tracking with particle flow filters
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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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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