摘要
针对多点浓度检测引信系统处理样本浓度所用的算术平均值法存在误判云爆弹最佳起爆时机的问题,提出了多级决策判断最佳起爆时机的方法。该方法将决策过程分为多层进行处理,首先由各决策点判断云雾局部是否满足最佳起爆条件,之后在一系列递进的决策中逐渐地判断云雾最佳起爆时机。仿真试验表明,该方法可有效避免云雾浓度样本方差过大的问题,降低产生误判现象的次数。
The arithmetic mean method used for multi-point concentration detection fuze system to deal with sample concentration has the problem of misjudging the optimal detonation timing of cloud-explosive bombs. A multi-level decision-making method for determining the optimal detonation timing was proposed. The algorithm divided the decision process into two layers. Firstly, the low-level decision point determined whether the cloud part satisfies the optimal detonation condition. After that, each node reported the judgment information to the upper-level high-level decision point, and then the advanced decision point determined whether the cloud was overall satisfied. Simulation experiments showed that the algorithm could effectively avoid the problem of excessive variance of cloud concentration samples, and would not cause false positives of arithmetic mean method.
引文
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