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中文摘要：
该文利用通信信号的循环平稳特性，在循环累积量域内构造信号分类特征，提出了一种基于高阶循环累积量的调制识别算法，实现对SQAM信号分类。算法对载波频率偏差、时延和相位旋转具有稳健性，井可在多信号环境且存在载波频偏的情况下实现对感兴趣信号的识别。理论分析和仿真结果均证明了算法的正确性和有效性。
英文摘要：
An algorithm based on higher-order cyclic eumulants for the automatic classification of SQAM signals is proposed. The algorithm utilizes the cyclostationary property of communication signals and presents classification feature in cyclic cumulants domain. It is robust to the presence of carrier frequency offsets, time delay and phase offsets. Interesting signals can also be classified under the presence of interference signals and carrier frequency offsets. The efficiency of the proposed classification algorithm is verified via theoretical analysis and extensive simulations.
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