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机构地区:[1]南京理工大学电子工程与光电技术学院,江苏南京210094
出 处:《南京理工大学学报》2011年第4期525-528,共4页Journal of Nanjing University of Science and Technology
摘 要:为了避免通信信号调制识别过程中的去载波、波形恢复和符号定时等预处理过程,该文将高阶累积量直接用于中频数字信号的识别。该算法通过估算信号功率对高阶累积量进行归一化,克服了信号幅度缩放的影响,从而使该算法不需要信号的任何先验知识。仿真证明高阶累积量对具有不同包络特征的信号具有良好的识别能力,并且在高信噪比时六阶累积量比四阶累积量的识别效果更好。In order to avoid the preprocessing of carrier removing,wareform recovery and symboltiming in the modulation recognition algorithms for communication signals,the high-order cumulants are directly used for classification of intermediate frequency digital signal.The high-order cumulant is normalized by the signal power to eliminate the influence of unknown signal amplitudes,so that the proposed algorithm does not require any prior information.Simulation results demonstrate that the classification method based on the high-order cumulant can work well for the signals with different envelopes and the sixth-order cumulant has better performance than the fourth-order cumulant when the signal to noise ratio is high.
分 类 号:TN911[电子电信—通信与信息系统]
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