摘要
文章推导并化简了基于信号互Margenau-Hill分布(CMHD)的MPSK识别的特征函数,并将其推广应用于MQAM信号的识别。文中运用模糊聚类算法,结合聚类有效性分析实现了加性高斯白噪下的QPSK与8PSK、8QAM与16QAM信号的识别。这种方法将传统的星座图匹配转化为星座幅度的一维聚类,无需符号同步,运算大大简化。
This paper deduces the simplified characteristic function of a CMHD-based MPSK identification method, and generalizes it to MQAM signals. The recognition of QPSK v. s. 8PSK and 8QAM v.s. 16QAM signals in AWGN channels is implemented by using a fuzzy clustering method with validity analyzing. Simulation results show that it is practicable in classifying high-order PSK and QAM modulations in high SNR AWGN channels.
出处
《信息工程大学学报》
2005年第1期44-46,共3页
Journal of Information Engineering University
关键词
软件无线电
调制分类
CMHD
模糊聚类
Software Radio
Modulation Classification
CMHD
Fuzzy Clustering
