流星余迹突发信号盲检测

Blind signal detection on meteor burst communications

在非合作流星余迹突发通信环境中,研究了基于频率域的短时傅里叶变换幅度谱熵的检测算法,先将观测的数据进行短时傅里叶变换,然后定义每一频率分量的谱概率密度函数,最后得出每段观察信号的谱熵,然后研究了复数高斯白噪声信道中流星余迹突发信号存在性检测的问题,将谱熵值门限进行比较,从而检测信号的存在与否。仿真结果表明,该方法具有较好的鲁棒性且不受调制方式的影响,尤其是在低信噪比时能够获得较高的检测概率。

In this paper,we propose a detection algorithm of amplitude spectrum entropy based on the basic idea of short-time Fourier in non-cooperative meteor burst communication environment.First,the observation data is transformed into the frequency domain by short-time Fourier transform（STFT）.Then,the spectral density function of each frequency component is defined.Finally,the spectral entropy of each observation signal is obtained.Compared with the threshold,there are no signals if spectral entropies are greater than the threshold,otherwise,the signals exist.The simulation results show that the method is robust and not affected by the modulation method,especially in the low signal to noise ratio can get a higher detection probability.