针对一般通信信号调制识别方法在低信噪比条件下识别准确率低的问题，提出了一种基于瞬时特征参数、高阶累积量和功率谱特征的联合识别算法。充分利用高阶累积量对噪声成盲性以及功率谱识别 MFSK 信号特征明显等特性，具有特征参数稳定、易于提取、识别准确率高的优点。计算机仿真证明在信噪比不小于5 dB 的情况下，对信号有很高的识别准确率(大于90%)。%For the poor accuracy rate of general communication signal modulation recognition method at low SNR (Signal Noise Ratio), novel automatic digital modulation recognition algorithm based on combined feature parameters including instantaneous characteristic parameters, higher-order cumulants and power spectral characteristics is proposed. Wiith full use of the characters that the higher-order cumulant is blind to Gaussian noise and the power spectral of MFSK signal different from each other, this algorithm has a lot of advantages, such as those the feature parameters are very stable and could be extracted easily, and their recognition accuracy rates are also very high. Simulation results show that the proposed algorithm has a high accuracy rate of signaal reccogition (> 90%) in the case that SNR is not less than 5dB.
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