The process and algorithm of target distribution and attack sequence in multi target attacking are introduced, and the validity of the algorithm is proved by simulation.

介绍了多目标攻击的目标分配和攻击排序的过程与算法，并用仿真验证了该算法的有效性。

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The forestage of the fusion model completes target presort and its post-stage is used to multi-period uncertainty inference and the whole set distribution of probability.

该推理模型前级采用神经网络并行子网，用于目标的预分类，后级采用证据理论用于多周期的不确定性推理和概率的全局分配。

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Simulation results show that in the alpha stable distribution assumption, multi-target direction estimation method is more reasonable and effective based on the spectral measure.

仿真结果表明，在稳定分布假设下，基于谱测度的多目标方位估计法是合理有效的。

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