摘要
针对存在未知载波频偏(CFO)的线性调制分类,提出一种混合似似然比检测(qHLRT)分类器。并且通过使用多天线接收机来进一步增强分类性能。一种基于盲源分离技术的CFO估计器用于qHLRT分类器中,同时对不同天线支路的相移作出估计。针对AWGN信道M进制QAM信号进行仿真,结果显示带有该估计器的qHLRT分类器可以有效降低未知CFO的影响,利用空间分集可以进一步提高分类器性能。
A quasi-hybrid likelihood ratio test (qHLRT) classifier is proposed for linear modulation classification,with unknown carrier frequency offsets (CFO). And a multi-antenna receiver is utilized to further enhance the classification performance. A blind CFO estimator based on blind source separation technique, which meantime estimates phase shift of each of antenna branches, is added to qHLRT classifier. Simulation results presented for classification of M-ary QAM signals under AWGN channel show that the qHLRT clas- sifier with estimator here proposed offers an efficient way to combat the sensitivity to unknown CFO, and the performance can be further improved by spatial diversity.
出处
《信号处理》
CSCD
北大核心
2009年第2期260-263,共4页
Journal of Signal Processing
关键词
似然比检测
调制识别
频偏估计
天线
likelihood ratio test
modulation classification
frequency offset estimation
antenna