冲击噪声环境下基于特征函数的调制识别算法

无线通信环境中不仅存在高斯噪声，而且存在冲击噪声。通过分析复循环对称稳定冲击噪声的特点，该文提出利用接收信号特征函数相位进行调制识别的方法。分类特征向量由不同角度对应的特征函数相位组成，对未知信号采用最小欧式距离法进行分类。理论分析证明，采用特征函数相位作为分类特征，可以完全抑制各种特征指数的分布噪声。仿真结果表明，在冲击噪声及高斯噪声环境下，信噪比大于8dB时，平均识别正确率都高于90％，该算法分类效果良好。

Algorithm for Modulation Recognition Based on Characteristic Function in Impulsive Noise Environment

Wireless channel environment is influenced by Gauss noise and impulsive noise. A new algorithm is proposed based on Characteristic Function (CF) phase of received signal by analyzing the feature of SαS impulsive noise. The classification vectors are composed of CF phase corresponding to different angle. The method of minimum mean squared distance is used to classify unknown modulation type. Theoretical analysis proves this algorithm is invariant to the presence of SαS noise. Simulations show average successful rates are both more than 90% in impulsive noise and Gauss noise channel when SNR is above 8dB.