多平台协同干扰资源调度算法  

Resource Scheduling Analysis of Multi-Platform Cooperative Jamming

作　　者：张哲[1] 张友益[2] 

机构地区：[1]江苏科技大学电子信息学院,镇江212003 [2]中国船舶重工集团公司723研究所,扬州225001

出　　处：《电子信息对抗技术》2016年第1期25-29,共5页Electronic Information Warfare Technology

摘　　要：在多平台协同对抗的背景下,为了使协同干扰效能最大化,提出利用改进的小生境遗传算法进行干扰资源调度。以干扰资源调度的整体效益为目标函数,建立了协同干扰资源调度模型。通过仿真验证了该算法的有效性和合理性。Under the background of multi-platform cooperative combat, in order to maximize the collaborative jamming effectiveness, the improved niche genetic algorithm for interference re- source scheduling is used. Collaborative jamming resource scheduling model is established, with the overall benefit of jamming resource scheduling as the objective function. The validity and ra- tionality of the algorithm is proved by simulation that it can be applied in the collaborative jam- ming resources scheduling.

关 键 词：协同干扰 资源调度 小生境遗传算法 

分 类 号：TN972[电子电信—信号与信息处理]