摘要
文中介绍了一种基于高阶累积量的FSK信号分类方法。该方法直接对中频信号进行高阶累积量的特征提取,不需要进行载频估计和符号同步,克服了以往高阶累积量特征对参数估计的依赖。在判决方法上,结合了欧式距离分类和大数逻辑准则,提高了分类性能。仿真实验表明,该方法具有较好的识别性能,信噪比不低于6dB时,2/4FSK信号的识别率在98%以上,信噪比不低于13dB时,2/4/8FSK信号的识别率在90%以上。
A novel modulation classification algorithm based on high-order cumulants for FSK signal is proposed. The algorithm utilizes the high-order cumulants of IF signals, avoiding the estimation of carrier frequency and symbol rate. It improves the performance by combining euclidean distance with majority-logic criteria. The simulation results show that the algorithm has good performance. The success rate is over 98% for 2FSK and 4FSK when the signal noise rate is not lower than 6dB, and it is over 90% for 2FSK, 4FSK and 8FSK when the signal noise rate is not lower than 6dB.
出处
《通信技术》
2008年第4期4-6,共3页
Communications Technology
关键词
高阶累积量
调制识别
FSK
high-order cumulants
modulation classification
FSK （Frequency Shift Keying）
