【摘要】 面对日益复杂的电磁环境,用户对干扰感知技术提出了更高的要求。本文采用一种基于熵理论的干扰感知方法,对六种常见的有源干扰(三种压制式干扰和三种欺骗式干扰)进行特征提取,通过仿真结果分析其在不同熵特征下的差异,得出了熵理论可用于干扰感知技术的结论。其中,信息熵和指数熵能够区分噪声调幅干扰,范数熵能够较好地区分三种压制式干扰和速度欺骗干扰;但三种熵理论方法均难以区分距离欺骗干扰和速度欺骗干扰。同时,通过比较三种熵理论特征提取方法的仿真时间,分析了三种特征提取方法的计算复杂度,得出了范数熵计算复杂度最低的结论。最后,通过朴素贝叶斯分类器确定了三种熵理论方法的识别率。更多还原

【Abstract】 Faced with more and more complicated electromagnetic environment,higher requirements were proposed by users about jamming perception.This paper used a parameter extraction method of six kinds of active jamming(included three kinds of suppression jamming and three kinds of deception jamming)based on entropy theory,analyzed the differences between different active jamming according to simulation results and drew a conclusion that entropy theory can be used in jamming perception.Among the three kinds of entropy theory,Sh En and Ex En can divide noise amplitude modulation jamming,No En can divide suppression jamming and velocity deception jamming,but all entropy theory methods cannot fit in the division about range deception jamming and angel deception jamming.In addition,the calculation complexity of three kinds of feature extraction ways are also analyzed by compared with the simulation time of the three methods in this paper,concludes that the calculation complexity of norm entropy is the least.Finally,confirming the recognition rate of three kinds of entropy theory methods through naive Bayesian classifier.更多还原