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无线通信中,接收端对截获的人为干扰进行有效地分析和识别,为通信系统的综合抗干扰决策提供信息支援,对于提高通信系统抗干扰能力具有重要意义。针对人为干扰分析的实时性和干扰识别的准确性,提出了基于短时傅里叶变换(STFT)的时频分析方法,在时频域对干扰信号进行分析和识别;针对由于复杂人为干扰的特征参数不同带来参数提取的困难,提出了基于信干比变门限法提取人为干扰参数;针对自然噪声等随机干扰影响人为干扰参数提取准确度的问题,提出了时频干扰数据频率二次采样的方法。理论分析和仿真结果表明,一方面,短时傅里叶变换法能够较好地对给定的复杂人为干扰进行参数提取,并能够通过频率的二次采样在一定程度上消除随机干扰的影响,另一方面,变门限法对于复杂人为干扰特征参数的提取有较好的效果。
In wireless communication, the receiving end can effectively analyze and identify the intercepted human interference and provide information support for the comprehensive anti-interference decision of the communication system, which is of great significance for improving the anti-interference ability of the communication system. In view of the real-time performance of human interference analysis and the accuracy of interference identification, a time-frequency analysis method based on short-time Fourier transform (STFT) is proposed to analyze and identify the interference signals in the time-frequency domain. Different parameters of different parameters bring about the difficulty of parameter extraction, a new method based on SIR ratio is proposed to extract the parameters of human disturbance. In order to solve the problem of random noise, such as natural noise, Methods. The theoretical analysis and simulation results show that on the one hand, the short-time Fourier transform method can extract the parameters of a given complex human interference well and can eliminate the influence of random interference to a certain extent by subsampling of the frequency, On the other hand, the variable threshold method has a good effect on the extraction of complex human disturbance characteristic parameters.