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作 者:Zhang Wei Quan Li Zhang Ke
出 处:《Journal of Electronics(China)》2012年第3期229-236,共8页电子科学学刊(英文版)
基 金:Supported by the Aviation Science Funds (20090580013);the Fundamental Research Funds for the Central Universities (ZYGX2009J092)
摘 要:The random noises of multi-sensor and the environment make observations uncertain and correlative, so the performance of fusion algorithms is reduced by using observations directly. To solve this problem, a multi-layer track fusion algorithm based on supporting degree matrix is proposed. Combined with the track fusion algorithm based on filtering step by step, it uses multi-sensor observations to establish supporting degree matrix and realize multi-layer fusion. Simulation results show its estimation precision is higher than the original algorithm and is increased by 20% around. Therefore, it solves the problem of target tracking further in the distributed track fusion system.The random noises of multi-sensor and the environment make observations uncertain and correlative, so the performance of fusion algorithms is reduced by using observations directly. To solve this problem, a multi-layer track fusion algorithm based on supporting degree matrix is proposed. Combined with the track fusion algorithm based on filtering step by step, it uses multi-sensor obser- vations to establish supporting degree matrix and realize multi-layer fusion. Simulation results show its estimation precision is higher than the original algorithm and is increased by 20% around. Therefore, it solves the problem of target tracking further in the distributed track fusion system.
关 键 词:Track fusion Filtering step by step Supporting degree matrix Target tracking
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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