模糊动态AHP导弹识别算法  

Missile Recognition Based on the Fuzzy Dynamic AHP Algorithm

作　　者：吴瑕[1] 周焰[1] 杨龙坡[1] 崔建[1] 

机构地区：[1]空军雷达学院预警监视情报系,武汉430019

出　　处：《光电工程》2009年第9期6-11,共6页Opto-Electronic Engineering

基　　金：自然科学基金(40101019);空军雷达学院预研基金项目

摘　　要：针对导弹预警卫星系统中的真假弹头识别问题,提出了一种在决策系统中对弹头目标识别的新算法。该算法提出用弹头的温度变化率、热容差异、辐射强度、灰度特性、红外运动特性等红外特征作为弹头目标识别特征量,运用多属性决策中的AHP方法进行信息融合,并对属性重要性判断矩阵采用模糊动态法进行构建,有效地解决了属性权重随时间变化的问题。最后根据融合结果排序,识别真弹头。通过仿真实验证明了该算法的有效性。Referring to the problem of true-fake warhead recognition in missile early warning satellite system, a new algorithm of warhead target recognition for decision-making system is established. By use of some infrared attributes as characteristic parameter of warhead target recognition, such as temperature change rate, thermal capacity difference, radiant intensity, gray characteristic and infrared movement characteristic, information fusion based on the Analytic Hierarchy Process （AHP） algorithm of multiple attribute decision making is applied. Furthermore, fuzzy dynamic method is applied to construct the attribute importance estimation matrix, and the problem of the attribute weights being changed with time is efficiently solved. The true warhead is recognized by the result of fusion and ranking. The simulation results show that this target recognition algorithm is trusty and practical.

关 键 词：目标识别 信息融合 模糊动态AHP 导弹预警卫星系统 

分 类 号：V19[航空宇航科学与技术—人机与环境工程] TJ761.3[兵器科学与技术—武器系统与运用工程]