Multiple extended target tracking algorithm based on GM-PHD filter and spectral clustering

@article{Yang2014MultipleET,
  title={Multiple extended target tracking algorithm based on GM-PHD filter and spectral clustering},
  author={Jinlong Yang and Fengmei Liu and Hong-Wei Ge and Yunhao Yuan},
  journal={EURASIP J. Adv. Sig. Proc.},
  year={2014},
  volume={2014},
  pages={117}
}
With the increase of the resolution of modern radars and other detection equipments, one target may produce more than one measurement. Such targets are referred to as extended targets. Recently, multiple extended target tracking (METT) has drawn a considerable attention. However, one crucial problem is how to partition the measurement sets accurately and rapidly. In this paper, an improved METT algorithm is proposed based on the Gaussian mixture probability hypothesis density (GM-PHD) filter… CONTINUE READING

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