Gaussian mixture probability hypothesis density filter for multipath multitarget tracking in over-the-horizon radar

@article{Qin2015GaussianMP,
  title={Gaussian mixture probability hypothesis density filter for multipath multitarget tracking in over-the-horizon radar},
  author={Yong Qin and Hong Ma and Jinfeng Chen and Li Chen Cheng},
  journal={EURASIP J. Adv. Sig. Proc.},
  year={2015},
  volume={2015},
  pages={108}
}
Conventional multitarget tracking systems presume that each target can produce at most one measurement per scan. Due to the multiple ionospheric propagation paths in over-the-horizon radar (OTHR), this assumption is not valid. To solve this problem, this paper proposes a novel tracking algorithm based on the theory of finite set statistics (FISST) called the multipath probability hypothesis density (MP-PHD) filter in cluttered environments. First, the FISST is used to derive the update equation… CONTINUE READING
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