本文针对慢衰落信道中信号调制方式自动识别的问题,提出了一种基于特征矢量的判决方法。通过提取4大类共9种特征参数,最终通过这些参数构成特征矢量实现了基于Watterson模型的慢衰落信道中9种常见信号调制方式的自动识别。仿真结果表明:在信噪比为10dB时,信号的正确识别概率达到了90%以上。 In this paper, aiming at the problem of automatic signal modulation in slow fading channel, a decision method based on eigenvector is proposed. By extracting 9 kinds of characteristic parameters from 4 major categories, the eigenvectors are finally constructed by these parameters to realize the automatic recognition of 9 kinds of common signal modulation modes in slow fading channel based on Watterson model. The simulation results show that when the signal-to-noise ratio is 10dB, the correct recognition probability of the signal reaches more than 90%.