Measurement-driven sequential random sample consensus GM-PHD filter for ballistic target tracking
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DOI: 10.1016/j.ymssp.2020.107407
Abstract: Abstract In this paper, a new filter named measurement-driven sequential random sample consensus Gaussian mixture probability hypothesis density (MD-S-RANSAC-GM-PHD) filter is proposed for estimating the trajectory of a ballistic target during its coast phase. Unlike… read more here.
Keywords: phd; measurement driven; random sample; target ... See more keywords