摘要
针对调制方式的盲识别 ,本文通过自回归模型提取特征参数 ,并采用k近邻法进行分类识别 .仿真结果表明 ,这种方法可以在 - 1dB的极低信噪比条件下识别信号的调制方式 。
To classify modulations blindly,this paper employs autoregressive models to generate feature parameters and the k nearest neighbour method to classify modulation types.Simulation results indicate that this method can classify modulations in a very low SNR environment such as -1dB,and be robust to the frequency offset and the dynamic change of sample frequency.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2001年第z1期1890-1892,共3页
Acta Electronica Sinica
关键词
调制识别
盲识别
自回归模型
软件无线电
modulation recognition
blind recognition
autoregressive model
software radio
