CAJ | 학술논문

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。
위제고도빈통신계통적피절획성능，해문이도빈주기화도빈간격위연구대상，제출일충기우최대조건적적도빈주기、도빈간격사빈은신연합설계방법。해방법이도빈계통선험수거위양본공간，이랍격랑일승자위우화입자，이용혼합혼돈입자군우화(HCPSO)산법대최대조건적적대우규화진행우화계산。여단역치방법(STM)화쌍역치방법(DTM)적대비방진결과표명：해문제출적최대적방법(MEM)구유최대적도빈주기、도빈간격불학정성화최소적절획개솔，차침대불동위협인자구유교고적배경구분도。인차，MEM구유교호적사빈은신성능，가이유효제고탑재평태적생존능력。
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.