电讯技术2017，Vol.57Issue(11)：1278-1282,5.DOI:10.3969/j.issn.1001-893x.2017.11.009
利用指数范数的QAM信号调制识别方法
A Recognition Algorithm of QAM Signals Based on Exponent Norm
摘要
Abstract
For the issue of Quadrature Amplitude Modulation ( QAM) signals modulation recognition, an algorithm of modulation recognition classification based on exponent norm is put forward. Firstly, 16QAM and 32 QAM signals are recognized by using the exponent norm characteristic extracted from the unidenti-fied signals. Then, the Gaussian exponent norm is extracted from remained signals in order to recognize 64QAM,128QAM and 256QAM signals. Finally, a classifier based on the decision tree method is proposed to realize recognition of the five kinds of QAM signals in the signal set. Simulation shows with the proposed algorithm the recognition accuracy rate is over 96% when signal-to-noise ratio ( SNR) is more than 6 dB.关键词
调制识别/正交振幅调制信号/指数范数特征/决策树Key words
modulation recognition/QAM signal/exponent norm characteristic/decision tree分类
信息技术与安全科学引用本文复制引用
崔潇田,高勇..利用指数范数的QAM信号调制识别方法[J].电讯技术,2017,57(11):1278-1282,5.基金项目
中央高校基本科研业务费资助项目(2082604194194) （2082604194194）
