| Hu Zhentao (胡振涛),Fu Chunling.[J].高技术通讯(英文),2014,20(4):355~362 |
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| A novel multi-sensor multiple model particle filter with correlated noises for maneuvering target tracking |
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| DOI：10.3772/j.issn.1006-6748.2014.04.003 |
| 中文关键词: |
| 英文关键词: multi-sensor information fusion, weight optimization, correlated noises, maneuvering target tracking |
| 基金项目: |
| Author Name | Affiliation | | Hu Zhentao (胡振涛) | | | Fu Chunling | |
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| 中文摘要: |
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| 英文摘要: |
| Aiming at the effective realization of particle filter for maneuvering target tracking in multi-sensor measurements, a novel multi-sensor multiple model particle filtering algorithm with correlated noises is proposed. Combined with the kinetic evolution equation of target state, a multi-sensor multiple model particle filter is firstly constructed, which is also used as the basic framework of a new algorithm. In the new algorithm, in order to weaken the adverse influence from random measurement noises in the measuring process of particle weight, a weight optimization strategy is introduced to improve the reliability and stability of particle weight. In addition, considering the correlated noise existing in the practical engineering, a decoupling method of correlated noise is given by the rearrangement and transformation of the state transition equation and measurement equation. Since the weight optimization strategy and noise decoupling method adopt respectively the center fusion structure and the off-line way, it improves the adverse effect effectively on computational complexity for increasing state dimension and sensor number. Finally, the theoretical analysis and experimental results show the feasibility and efficiency of the proposed algorithm. |
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