Robust Student’s t Mixture Probability Hypothesis Density Filter for Multi-Target Tracking With Heavy-Tailed Noises
In order to improve filtering accuracy and restrain the degradation of filtering performance caused by the heavy-tailed process and measurement noises in multi-target tracking, this paper proposes a robust Student's t mixture probability hypothesis density (PHD) filter. In the proposed method,...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8412176/ |