跳频周期和跳频间隔的最大条件熵射频隐身设计方法  

RF Stealth Design Method for Hopping Cycle and Hopping Interval Based on Conditional Maximum Entropy

作　　者：杨宇晓[1,2] 汪飞[2] 周建江[2] 康国华[1] 

机构地区：[1]南京航空航天大学航天学院,南京210016 [2]雷达成像与微波光子技术教育部重点实验室,南京210016

出　　处：《电子与信息学报》2015年第4期841-847,共7页Journal of Electronics & Information Technology

基　　金：航空科学基金(20130152002);上海航天科技创新基金(SAST 201411);中央高校基本科研业务费专项资金;江苏省普通高校研究生科研创新计划(CXZZ11_0212;NP2015505)资助课题

摘　　要：为提高跳频通信系统的被截获性能,该文以跳频周期和跳频间隔为研究对象,提出一种基于最大条件熵的跳频周期、跳频间隔射频隐身联合设计方法。该方法以跳频系统先验数据为样本空间,以拉格朗日乘子为优化粒子,利用混合混沌粒子群优化(HCPSO)算法对最大条件熵的对偶规划进行优化计算。与单阈值方法(STM)和双阈值方法(DTM)的对比仿真结果表明:该文提出的最大熵方法(MEM)具有最大的跳频周期、跳频间隔不确定性和最小的截获概率,且针对不同威胁因子具有较高的环境区分度。因此,MEM具有较好的射频隐身性能,可以有效提高搭载平台的生存能力。In order to increase the interception performance of frequency hopping systems, an optimal algorithm for hopping cycle and hopping interval, which is based on the conditional maximum entropy is proposed. The prior data of frequency hopping systems are used as the training sample space, and the Lagrange multipliers are selected as optimized variables. The Hybrid Chaotic Particle Swarm Optimization（HCPSO） algorithm is used for the optimization of the dual programming of the conditional maximum entropy. Compared with the Single Threshold Method（STM） and the Double Threshold Method（DTM）, the simulation results show that the proposed Maximum Entropy Method（MEM） not only has the greatest uncertainty of hopping cycle and hopping interval, it also has the lowest probability of intercept and higher environmental differentiation with threat factors. So the MEM has good RF stealth performance and it can effectively improve the survival ability of the platform.

关 键 词：跳频通信 射频隐身 跳频周期 跳频间隔 混合混沌粒子群优化算法 

分 类 号：TN914.4[电子电信—通信与信息系统]