光电工程, 2009, 36 (9): 6, 网络出版: 2010-01-31
模糊动态AHP 导弹识别算法
Missile Recognition Based on the Fuzzy Dynamic AHP Algorithm
目标识别 信息融合 模糊动态AHP 导弹预警卫星系统 target recognition information fusion fuzzy dynamic AHP missile early warning satellite system
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。
Abstract
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.
吴瑕, 周焰, 杨龙坡, 崔建. 模糊动态AHP 导弹识别算法[J]. 光电工程, 2009, 36(9): 6. WU Xia, ZHOU Yan, YANG Long-po, CUI Jian. Missile Recognition Based on the Fuzzy Dynamic AHP Algorithm[J]. Opto-Electronic Engineering, 2009, 36(9): 6.