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19 May 2006 Comparison of tracklet methods with deterministic dynamics and false signals
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Abstract
Track fusion processing is complicated because the estimation errors of a local track and a fusion track for the same target are usually cross-correlated. If these errors are cross-correlated, that should be taken into account when designing the data association processing and the filter used to combine the track data. An approach to dealing with this cross-correlation is to use tracklets. One of the important issues in tracklet fusion performance is whether the dynamics are deterministic, e.g., no filter process noise and no target maneuver. A number of different tracklet methods have been designed. This paper presents a comparison a tracklets-from-tracks approach to a tracklets-from-measurements approach. Tracklet fusion performance is also compared to centralized measurement fusion performance. The emphasis is on performance with targets that exhibit deterministic dynamics and the possibility of measurements caused by false signals.
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Oliver E. Drummond and David Dana-Bashian "Comparison of tracklet methods with deterministic dynamics and false signals", Proc. SPIE 6236, Signal and Data Processing of Small Targets 2006, 62360Z (19 May 2006); https://doi.org/10.1117/12.673200
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