模糊模式识别在潜艇威胁等级判断中的应用  

Application of fuzzy pattern recognition for submarine threat level estimation

作　　者：俞骏[1] 刘以安[1] 

机构地区：[1]江南大学信息工程学院,江苏无锡214122

出　　处：《计算机工程与设计》2009年第6期1455-1457,共3页Computer Engineering and Design

基　　金：国防预研应用基础研究基金项目(A1420061266)

摘　　要：针对潜艇"隐身"技术的提高,利用单一的潜艇探测方法难以得到准确的探测结果。建立了潜艇威胁等级判断的数学模型,给出了威胁等级判断的详细步骤和方法,运用模糊模式识别方法对各种潜艇探测数据进行融合计算,从而得出较为真实的探测结果。仿真实验结果表明,该方法对于丰富反潜技术、提高反潜效率具有一定的理论意义和应用价值。As the improvement of stealth submarine technology renders, it more difficult to gain accurate detection result by means of a single submarine detection method. A mathematical model of submarine threat level estimation and its procedure and method are presented in detail, more authentic detection result is obtained through fusion calculation of various submarine detection data in terms of fuzzy pattern identification and some valuable conclusions are achieved in the simulation experiment. Therefore, this method has its own theoretical significance and practical value as to enrich anti-submarine technology and to enhance its efficiency.

关 键 词：模糊模式识别 贴近度 择近原则 反潜 威胁等级 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]