一种基于循环平稳性的CPM信号调制阶数盲识别算法

Blind Identification Algorithm of Modulation Order of CPM-signal Based on Cyclostationarity

  • 摘要: 本文利用CPM信号的循环平稳性,深入分析了M进制CPM信号循环谱密度函数与信号调制阶数之间的内在联系,并在此基础上提出了一种基于信号循环平稳性的CPM信号调制阶数盲识别算法。实现了任意调制指数和频率成形脉冲的CPM信号调制阶数盲识别,为CPM信号的盲解调奠定了基础。计算机仿真结果与分析表明,该算法具有较高的正确识别率,并且受高斯噪声影响较小,实现简单,有实用意义。

     

    Abstract: Based on the features of the cyclic-spectrum density of CPM-signal, we first propose an in-depth study on the internal relationship of the Modulation Order and the cyclic-spectrum density of M-order CPM-signal. Then we develop a novel blind identification algorithm of Modulation Order based on cyclostationarity, which provides the theoretical foundation and the feasibility of the blind demodulation of CPM-signal. The proposed algorithm can be suitable for CPM-signal with any arbitrary modulation index and Frequency-Shaping Pulse. The simulation study shows that the algorithm has the power to provide a good identification of Modulation Order. In addition, the algorithm is less affected by Gaussian noise and easy implementation

     

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