CAJ | 학술논문

目标识别是弹道导弹防御系统作战中的一个重要环节，作战指挥中心对不同传感器获得的目标信息进行特征提取，然后得出多个不同的目标识别结果。对于这些识别结果，给出了一个基于决策层融合的目标识别算法。通过专家测评的方法，对不同目标特征量得出的识别结果赋予不同的权重，然后通过贝叶斯网络的方法在决策层对目标识别结果进行融合。利用该方法进行了实例计算，计算结果比较准确合理。
목표식별시탄도도탄방어계통작전중적일개중요배절，작전지휘중심대불동전감기획득적목표신식진행특정제취，연후득출다개불동적목표식별결과。대우저사식별결과，급출료일개기우결책층융합적목표식별산법。통과전가측평적방법，대불동목표특정량득출적식별결과부여불동적권중，연후통과패협사망락적방법재결책층대목표식별결과진행융합。이용해방법진행료실례계산，계산결과비교준학합리。
Target Recognition is an important part of Ballistic Missile Defense, the battle command centerextracts characteristics from the target information which obtained by different sensors, then, different target recognition results can be got. The different target recognition results are endowed with different weights, by the method of expert assessment, the target recognition results on decision level are fused by the method of Bayesian Network. Simulation result shows that the method is effective and correct.