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A NOVEL MODULATION CLASSIFICATION FOR PSK AND QAM SIGNALS IN WIRELESS COMMUNICATION

机译:无线通信中PSK和QAM信号的新型调制分类

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摘要

In this paper, we proposed a new modulation classification algorithm in AWGN channel using fourth order cumulants and improved clustering density spectrum. First, subtractive clustering algorithm is used to classify MPSK and MQAM. Then, a novel algorithm based on the density spectrum of digital signal constellations and cumulants is proposed to internally identify MQAM and MPSK respectively. The peak numbers of in-phase and quadrature density envelope are derived to classify MQAM based on haar wavelet transform. Compared with the existing methods, it is a simple solution with a smaller number of symbols and more modulation types. Simulation results prove the efficiency of the proposed classification algorithm.
机译:在本文中,我们提出了一种使用四阶累积量和改进的聚类密度谱的AWGN信道中的新的调制分类算法。首先,使用减法聚类算法对MPSK和MQAM进行分类。然后,提出了一种基于数字信号星座图和累积量密度谱的新算法,分别在内部识别MQAM和MPSK。基于haar小波变换,导出同相和正交密度包络的峰值,对MQAM进行分类。与现有方法相比,这是一种简单的解决方案,具有更少的符号和更多的调制类型。仿真结果证明了该分类算法的有效性。

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