Multi-Sensor Interactive Multi-Model PHD Filter for Maneuvering Multi-Target Tracking
In maneuvering multiple targets tracking problem, Probability Hypothesis Density(PHD) filter can be used to estimate the multi-target state and the number at each time step, but single model method may not provide accurate estimates. In this paper, an interactive multiple model PHD filter is propose...
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| Veröffentlicht in: | Applied Mechanics and Materials 2013-07, Vol.336-338, p.200-203 |
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| container_title | Applied Mechanics and Materials |
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| creator | Sun, Xiao Shu Sun, Xi Jing Tian, Shu Rong |
| description | In maneuvering multiple targets tracking problem, Probability Hypothesis Density(PHD) filter can be used to estimate the multi-target state and the number at each time step, but single model method may not provide accurate estimates. In this paper, an interactive multiple model PHD filter is proposed, and then multiple sensor interactive multiple model PHD filter is proposed to improve the tracking of multiple maneuvering targets. PHD particle filter implementation is used to perform the proposed method consisting of multiple maneuvering targets. |
| doi_str_mv | 10.4028/www.scientific.net/AMM.336-338.200 |
| format | Article |
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| title | Multi-Sensor Interactive Multi-Model PHD Filter for Maneuvering Multi-Target Tracking |
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