Optimization of a particle filter in case Track-Before-Detect
نویسندگان
چکیده
In this paper, we are concerned with the detection and tracking of a target in TBD context. We propose here an efficient particle filter based on a relevant proposal density justified by radar detection considerations. This filter performs well compared to the classical laws used in the literature, especially in terms of speed of convergence for detection. We also identify a minimum number of particles required to ensure interesting detection performance.
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Dual-Module Data Fusion of Infrared and Radar for Track Before Detect
A track before detect method based on data fusion of infrared and radar is proposed to increase the probability of correct track initiation and shorten initiation time. Track before detect is a new technique for dim target detection and tracking which is useful when the signal-tonoise ratio of target is low. Particle filter and dynamic programming for track before detect are currently proposed ...
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