摘要
针对MPSK、MAPSK和MQAM信号,提出了一种改进的基于星座图的信号识别方法。通过设计一种全数字非合作盲同步方案以获得信号星座图,采用信号星座图的幅度统计特征、盲聚类特征和模板匹配特征构成特征矢量;并设计了多特征联合的最邻近距离分类器作为识别这几类信号调制方式的分类器,以降低误判率。理论分析和仿真试验证明了该改进方法具有计算复杂度低、稳健性强和识别率高的特点。
A modified modulation classification method based on constellation is proposed. Non-cooperative blind synchronization algorithm is proposed to recover the constellation. The amplitude, cluster, blind match characteristic of the constellation are extracted to form characteristic vector. Minimum distance classifier based on multi characteristic is designed to reduce the probability of misjudging. Theoretic analysis and simulations result are given. It shows the new method has lower computational complexity, better robustness and higher classification probability.
出处
《无线电通信技术》
2013年第5期33-36,共4页
Radio Communications Technology
关键词
调制识别
盲同步
星座图
距离分类
modulation recognition
blind synchronization
constellation
minimum distance classifier