摘要
研究了制式识别的特征参数提取方法,以小波变换为主,结合瞬时频率统计算法、高阶谱等多种识别算法,对现有水下通信信号调制方式进行类间、类内识别,包括多载波(OFDM)和单载波(MFSK、MPSK和QAM)。仿真结果表明,文章所采用的方法在低信噪比下的识别概率均能保持在82%以上,具有较好的识别性能。
This article did a research on themethod of characteristic parameter obtainment. Based on Wavelet Transform, instantaneous parameter extraction and higher-order cumulants are used to recognize the Underwater Sound Signal, including Single carrier(MFSK,MPSK, QAM) and multicarrier(OFDM). Simulation results show that the rate of modulation identification is able to keep 82% above in the situation of low SNR, meaning that the proposed method has a good ability of identification.
出处
《通信对抗》
2017年第2期12-17,共6页
Communication Countermeasures
基金
国家自然科学基金(61471309
61671394)
中央高校基本科研业务费专项资金(20720170044)
关键词
水声信号
小波变换
支持向量分类器
制式识别
underwater acoustic signal
wavelet transform
SVM
modulation recognition