chirp信号在高斯白噪声信道下的调制和解调以及误比特率的仿真模型-chirp signal in white Gaussian noise channel modulation and demodulation, and bit error rate of the simulation model

对现有数字调制方式识别类型有限的问题，提出一种基于星座图的分类算法。算法首先利用盲均衡技术克服信道的多径效应与系统问步误差，再对信号减法聚类，提取聚类中心与理想星座图模型进行匹配，从而实现MAsK、MPsK、MOAM等调制方式的识别。-Existing types of digital modulation recognition of limited problem, a classification algorithm based on the constellation. Firstly,

16QAM信号调制,描述了解决此问题的关键任务和相应的通信工具箱函数，其中选择基带16QAM作为调制制式以及加性高斯白噪声（AWGN）作为信道模型.-16QAM signal modulation, described the critical task to resolve this problem and corresponding communication toolbox functions, including selecting a baseband 16QAM modulation