基于时频相关性的复合常规人为干扰分析方法

摘要

In military wireless communication,analyzing and recognizing the jamming signal to receiver and extracting the jamming parameters to provide information assistance for the total anti-jamming decisions of communication systems is very important to confront the intended jamming. The short-time Fourier trans-form( STFT) algorithm is proposed to analyze the jamming. Firstly,STFT is performed for the multiplicate regular jamming,and then the 3D time-frequency data is uniformized. Finally,according to the different jamming types in time and frequency domain,the relationship between time and frequency is analyzed and the constant jamming,duration pulse jamming and sweeping jamming are extracted step by step. Theoretical analysis and simulation results show that the distributed searching algorithm can precisely extract the jam-ming parameters.%在军事无线通信中，对进入接收机的干扰信号进行分析、识别并提取特征参数，以支持抗干扰决策，是通信设备有效对抗蓄意人为干扰的前提。提出了基于短时傅里叶变换( STFT)的复合常规人为干扰分析方法，首先对接收的干扰信号进行STFT变换，然后将得到的三维时频域数据进行二值化处理；最后根据不同干扰样式的时域及频域特征，对二值化的时频域数据之间的关系进行分析，分别解析出多音干扰、周期脉冲干扰、扫频干扰。理论分析和仿真结果表明，通过分类搜索算法，能够较为准确地对复合人为干扰进行解析。