该文针对衰落信道下调制识别算法预处理要求高的问题，提出了一种基于循环平稳性检测的调制分类算法，提升了盲接收环境下的分类效果。算法以信号的循环频率为特征，结合循环平稳性检测，实现了OFDM, PSK, FSK等常见数字调制信号的区分。算法无需各种参数估计以及同步等预处理过程，理论推导及仿真结果证明，能够实现低信噪比衰落信道条件下信号的有效区分。该算法将有助于提升衰落信道中非合作接收条件下的信号分类能力。
Considering the strict preprocessing requirement of modulation recognition algorithm in fading channels, an algorithm of modulation classification based on cyclostationary test is proposed to promote the classification performance under blind reception conditions. Combing cyclostationary test, the signal cyclic frequency features of cyclic cumulants are used to discriminate common digital modulation signals, such as OFDM, PSK, FSK, etc.. The method obviates the need for preprocessing tasks, such as estimation of parameters and synchronization. The theoretical derivations and simulations simultaneously confirm the effectiveness of discriminating signals in the fading channel with low SNR. Furthermore, this method can be used to promote the signal blind classification performance in fading channels under the non-cooperative reception conditions.