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针对Alpha噪声环境下通常的数字信号调制识别的算法失效的问题,本文提出了一种方法:首先将被Alpha噪声污染的数字信号进行预处理,然后对处理之后的信号求循环谱,通过分析各信号循环谱的特征,提取出4个特征参数对信号进行识别。仿真结果表明,在Alpha噪声环境下,该方法可以实现对2PSK、QPSK、2/4FSK、MSK信号的识别,并且取得了较高的识别率,具有良好的性能。
Aiming at the problem of algorithm failure of digital signal modulation recognition in Alpha noise environment, a method is proposed in this paper. Firstly, the digital signal contaminated by Alpha noise is preprocessed, and then the processed signal is cyclically analyzed. The characteristics of the signal cycle spectrum, extracted four characteristic parameters to identify the signal. Simulation results show that this method can recognize 2PSK, QPSK, 2 / 4FSK and MSK signals under the condition of Alpha noise, and achieves high recognition rate and good performance.