摘要
针对信号调制类型识别的问题,提出一种新的基于分形盒维数和归一化峰度的信号调制类型识别算法。该算法具有计算复杂度低、抗噪性能强的优点。仿真实验结果表明该算法在高斯白噪声环境下信噪比大于-5 dB时,实验使用的几种信号的平均分类正确率超过97%,信噪比大于0 dB时,分类正确率均接近100%。
Towards the question of signal modulation recognition,a novel modulation recognition algorithm （D-K algorithm） is proposed based on the fractal box dimension and the normalized peak.This algorithm has the advantages of low compute complexity and strong ability against noise.Simulation results show that the new algorithm is able to recognize several simulation signals with the average correct rate of more than 97％ while SNR is more than -5 dB in the environment of white gauss noise,as well as nearly 100％ while SNR is more than 0 dB.
出处
《电视技术》
北大核心
2013年第19期138-140,共3页
Video Engineering
关键词
调制识别
神经网络
频谱感知
分形盒维数
归一化峰度
modulation recognition
neural network
spectrum sensing
fractal box dimension
normalized peak
