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Anti-Clutter Gaussian Inverse Wishart PHD Filter for Extended Target Tracking
The extended target Gaussian inverse Wishart probability hypothesis density (ET-GIW-PHD) filter overestimates the number of targets under high clutter density. The reason for this is that the source of measurements cannot be determined correctly if only the number of measurements is used. To address...
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| 出版年: | Sensors (Basel) |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6928846/ https://ncbi.nlm.nih.gov/pubmed/31771242 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19235140 |
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