Track-Before-Detect Algorithm Based on Improved Auxiliary Particle PHD Filter under Clutter Background
Under the clutter background condition, the existing particle filter pre-detection tracking algorithm based on Probability Hypothesis Density (PHD) filtering is not accurate enough to estimate the number of targets in dense multi-objectives. In this study, the concept of two-layer particle is introd...
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| Автори: | , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
China Science Publishing & Media Ltd. (CSPM)
2019-06-01
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| Серія: | Leida xuebao |
| Предмети: | |
| Онлайн доступ: | http://radars.ie.ac.cn/article/doi/10.12000/JR18060?viewType=HTML |
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