• The paper constructed every level information fusion models firstly, and put emphasis on position level fusion and identification level fusion arithmetic.

    本文在建立各级信息融合模型的基础上,重点讨论了位置级融合和目标识别级融合的算法。

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  • The paper put forward a kind of accurate multi-objective optimization-double populations differential multi-storey culture particle swarm fusion arithmetic after improving.

    本文提出一种精确的多目标优化算法,即改进的双群体差分多层文化粒子群融合算法。

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  • In a single sensor system when the sample amount is constant, the estimation result of data fusion to subdivided into groups is superior to arithmetic average of single group.

    基于该融合公式,证明了在单传感器系统中,当样本观测值一定时,分组数据融合的估计效果优于单组算术平均的估计效果;

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  • In object identification level object identification fusion based on D-S proof theory was discussed, performance analyzing is found that the arithmetic did not need probability distribution.

    在目标识别级重点讨论了基于D - S证据理论的目标识别融合,通过性能分析可知该算法具有不需要先验概率和条件概率密度等优点。

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  • Aiming at the condition of atrocious detection environment of local detectors and non-ideal channels of local detectors to fusion center, a new feedback arithmetic is put forward in this paper.

    针对本地检测器的检测环境比较恶劣和本地检测器至融合中心的传输信道为非理想信道的情况,提出一新的反馈算法。

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  • Aiming at the condition of atrocious detection environment of local detectors and non-ideal channels of local detectors to fusion center, a new feedback arithmetic is put forward in this paper.

    针对本地检测器的检测环境比较恶劣和本地检测器至融合中心的传输信道为非理想信道的情况,提出一新的反馈算法。

    youdao

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