给出了利用信号星座图的QAM信号调制方式识别技术。
The modulation recognition technique of QAM signal by the constellation diagram is given in this paper.
本文采用基于统计模式识别的方法，研究了非合作通信与合作通信中通过提取调制信号的星座图特征对调制模式进行识别的问题。
In this research, based on statistical pattern recognition method, we use constellation of modulated signals to classify modulation modes both in non-cooperative and cooperative communications.
这种方法对高斯噪声和星座图由于信号初始相位而引入的旋转具有良好的稳健性，并避免了神经网络中的过学习和局部极小点等缺陷。
This method is robust to Gaussian noise and constellation rotation due to initial phase of signal and avoids overfitting and local minimum in neural networks.
提出排序的球形译码算法，能处理任意形状的星座图信号，降低译码时间。
Propose the ordered sphere decoder so that it can process the constellation with any shape and quicken the decoding time.
数字信号的时域分析有眼图、矢量图、星座图、相关性、同步等途径。
The methods of Time-Domain Analysis consist of eye diagram, vector diagram, constellation diagram, correlation, synchronization, etc.
将截获信号的直观几何特征（星座图）映射到变换域中，可区别不同调制内部的同相正交分量的相对关系，避免了聚类算法受噪声干扰和其他随机因素影响。
The novel feature distinguishes relative distribution between in-phase and quadrature components and lightens the great influence caused by noise and other random factor in clustering algorithm.
将截获信号的直观几何特征（星座图）映射到变换域中，可区别不同调制内部的同相正交分量的相对关系，避免了聚类算法受噪声干扰和其他随机因素影响。
The novel feature distinguishes relative distribution between in-phase and quadrature components and lightens the great influence caused by noise and other random factor in clustering algorithm.
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