摘要
本文提出小波变换与模式识别相结合的算法实现通信信号调制模式的自动识别。不同于其他调制模式识别算法,该算法能同时识别模拟调制信号和数字调制信号。采用小波变换估计信号的码速率以区分模拟信号和数字信号。对模拟信号或者数字信号,提取相应的特征参数,识别具体的调制模式。计算机仿真结果表明SNR≥15dB时,该算法具有很好的性能。
A novel algorithm is proposed to identify automatically the modulation types of the communication signals using wavelet transform and pattern recognition. Unlike other modulation classification algorithms, this one can identify analog and digital modulations at the same time. Wavelet transform is used to estimate the symbol rate of the received signals in order to discriminate between analog and digital modulation types. Then the feature parameters are extracted to identify the specific modulation type. Computer simulation results demonstrate that the performance of the algorithm is efficient when the SNR≥ 15dB.
出处
《电路与系统学报》
CSCD
北大核心
2006年第4期125-130,共6页
Journal of Circuits and Systems
基金
国家自然科学基金资助项目(60002003)
关键词
小波变换
模式识别
调制模式
信号分类
wavelet transform
pattern recognition
modulation type
signal classification
作者简介
姜园（1970-）,华南理工大学与广州海格通信产业集团有限公司联合培养博士后,研究领域数字信号处理、小波分析、模式识别.
