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.
由选定信号集边界的信号星座成形用于降低该星座的平均能量。
The shaping of a signal constellation by selecting the boundary of the signal set is used to reduce the average energy of the constellation.
传统的差分空时分组编码(DSTBC)在QPSK调制时存在着信号星座扩展。
The traditional differential space-time block code (DSTBC) suffers from the signal constellation expansion for QPSK modulation.
在详细分析了多级编码调制的不等错误保护原理的基础上，设计了一种针对8ask调制的非均匀信号星座。
After the unequal error protection of multilevel coded modulation is discussed in detail, a non-uniform signal constellation applied to 8ask modulation is designed.
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.
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.
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.
该方案利用数字混合信号与常用数字调制信号在信号频谱以及星座点的差异提取特征参数进行自动识别。
In the scheme, a set of feature parameters are extracted from signal spectrum and constellation based on the differences between digital mixed signals and common digital modulation signals.
在卫星星座内的时间同步中，为满足时间同步信号的传输要求，需要对星间链路进行分析和设计。
It is necessary to analyze and design the intersatellite link (ISL) for satisfying the requirement of time synchronization signal transmitting in satellite constellation time synchronization.
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.
它能处理多输入多输出系统（MIMO）中发送天线多于接收天线的情形，并能同时检测具有格型结构和不具有格型结构的二维空间星座信号。
A fast generalized complex sphere decoder is proposed for under-determined MIMO systems with fewer receive antennas than transmit antennas in this paper.
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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