摘要
提出了一种基于谱特征和高阶累积量的数字通信信号自动调制识别新方法。该方案从接收信号中提取一组稳健性强的特征参数,具有计算简单,无需先验信息,同时具有较好的噪声抑制等特点,能在低信噪比情况下快速有效的进行调制信号的自动识别。仿真结果表明,在信噪比SNR大于3dB时总体识别率在96%以上。该方案具有实用性和可行性。
This paper presents a new method for modulation and recognition of digital communication signals based on spectrum feature and higher order rameters that extracted from the received signals cumulants （HOS） analysis. A set of robust feature paare used as classification feature. The method has multiple characteristics such as the computational simplicity, no demand for prior information and good performance of suppressing the noise. Therefore it can automatically recognize the signal modulations quickly and efficiently at the lower Signal-to-Noise （SNR） situations. Simulation results indicate that the performance of the proposed method can achieve more than 96% recognition accuracy when SNR is above 3 dB. This method is feasible and practical.
出处
《中国电子科学研究院学报》
2009年第5期519-522,共4页
Journal of China Academy of Electronics and Information Technology
关键词
调制识别
高阶累积量
谱特征
modulation recognition
higher order cumulants
spectrum feature
