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A new method of ballistic mission target recognition

机译:一种新的弹道使命目标识别方法

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摘要

On the process of target ballistic missile (BM) recognition, in other to solve the problem of multi-sensor system is easy to conflict when transmitting date, and the problem that the conflicting evidence and unconflicting evidence integration together on existing D-S improved algorithm, this paper put forward the target recognition method of ballistic mission based on experts trust, gives the model of target BM recognition system based on experts trust and the model of expert knowledge base. The new algorithm divides the collected evidence into two groups, which one is conflicting evidence set and the other is unconflicting evidence set, conflicting evidence set evaluation by expert evaluation system and unconflicting evidence set fusing by traditional D-S theory, and then refusing the two results, get the decision. By comparing with the old algorithms, experiment results show that the new algorithm is more effectively.
机译:在目标弹道导弹(BM)识别的过程中,在另一个解决多传感器系统的问题时易于冲突,以及在传输日期时易发生冲突,以及冲突的证据和不协调的证据集成在现有的DS改进算法上,这纸张提出了基于专家信任的弹道特派团目标识别方法,给出了基于专家信任的目标BM识别系统的模型和专家知识库模型。新算法将收集的证据分为两组,其中一个是冲突的证据集,另一个是不协调的证据集,通过传统DS理论的专家评估制度和令人不安的证据进行了相互矛盾的证据,然后拒绝两种结果,然后拒绝两种结果得到决定。通过与旧算法进行比较,实验结果表明,新算法更有效。

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