Title :
Myriad target tracking in a dusty plasma
Author :
Oxtoby, Neil P. ; Ralph, Jason F. ; Durniak, Céline ; Samsonov, Dmitry
Author_Institution :
Dept. of Electr. Eng. & Electron., Univ. of Liverpool, Liverpool, UK
Abstract :
Tracking myriad (thousands of) interacting dust particle targets in a complex (dusty) plasma is considered. Multiple extended-Kalman-filter-based trackers were deployed on target subsets of various sizes, with track data fusion performed offline. Filter-based tracking was more accurate than particle tracking velocimetry, particularly for estimates of target velocity. A low level of target loss (~1%) was directly related to measurement loss, with a small contribution from duplicate tracks (tracker overlap). Measurement loss was caused by target maneuvers - the formation of an externally-induced shock wave.
Keywords :
Kalman filters; dusty plasmas; sensor fusion; target tracking; data fusion; dust particle target; dusty plasma; measurement loss; multiple extended Kalman filter based tracker; myriad target tracking; target velocity; Atmospheric measurements; Dusty plasma; Equations; Loss measurement; Mathematical model; Particle measurements; Target tracking; Kalman filter; algorithms; data association; estimation; nonlinear filtering; tracking;
Conference_Titel :
Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4577-0267-9
