摘要
调制识别在认知无线电通信系统中具有十分重要的意义。针对复杂环境中认知无线电信号的调制识别问题,提出了一种基于累积量的改进方法。该方法根据多用户模型特点,采取基于联合概率的融合思想,对最大似然估计等运算进行优化处理,具有良好的稳健性,可以在低信噪比条件下实现正确的调制分类识别。最后,通过计算机仿真结果验证了新方法的有效性,并且识别种类较多,抗噪性能也优于过去的一些算法。
Modulation recognition plays an important role in cognitive radio communication system, A modified method based on cumulant is proposed for the modulation recognition of multi-user signals in the complex environment. The fusion idea by joint probability is described, and the operation of maximum likelihood estimation is optimized in accordance with the characteristics of multi-user model. So this method is of good robustness and can acquire correct modulation recognition in low signal-to-noise conditions. Finally the computer simulation indicates that the proposed method is feasible and effective, and its recognition type is more and anti-noise performance better than traditional ones.
出处
《通信技术》
2016年第9期1159-1163,共5页
Communications Technology
关键词
认知无线电
调制识别
高阶累积量
融合
cognitive radio
modulation recognition
higher-order cumulant
fusion
