基于多天线接收机的信号调制方式识别

Modulation classification based on multi-antenna receiver

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.