基于AHP-熵权分簇算法的多弹协同作战研究

Research about Multi Missile Cooperative Combat Based on AHP and Entropy Weight Clustering Algorithm

分析了几种应用于Ad Hoc网络的典型分簇算法,提出了利用分簇算法来实现多枚导弹动态组网的思想;重点研究了一种基于AHP-熵权的分簇算法在多弹协同作战网络系统中的应用。算法运用AHP和熵值法计算组合权重,增强了权重的可靠性;同时考察了多个因素指标,提高了算法的适应性。仿真结果表明,与其他典型算法比较,本算法提高了多弹协同作战组网系统的稳定性。为未来导弹组网作战形式和新一代导弹的研制提供了一定的思路。

Several typical clustering algorithms applied in Ad Hoc Networks are analyzed,in this paper,the idea of using clustering algorithms to realize the multiple missile dynamic networking is proposed.The algorithm uses the AHP method and the entropy method to calculate the combined weight,which enhances the reliability of the weight.At the same time,a number of factors are investigated to improve the adaptability of the algorithm.The simulation results shows that compared with other typical algorithms,the proposed algorithm improves the stability of multi missile cooperative combat system.It provides some ideas for the future combat form of missile network and the development of a new generation of missiles.