摘要
针对强噪声背景下FSK信号的智能检测,提出了一种新的方法.运用接收端FSK信号与发射信号的互相关信息,作为特征量,利用BP神经网络实现模式分类,达到智能检测FSK信号的目的.仿真结果表明,该方法能够有效地抑制噪声,实现FSK信号的智能检测.
For detecting frequency-shift-keying （FSK） in heavy noise, a new method was proposed. By using the correlative information of the receiver＇s FSK signal and the transmitted signal as the feature vector, and realizing the pattern classification based on BP neural network, the goal of intelligent detection of the FSK signal was achieved. By simulation it shows that the method can suppress the noise greatly and realize the intelligent detection of the FSK signal.
出处
《空军雷达学院学报》
2006年第1期41-43,共3页
Journal of Air Force Radar Academy
关键词
频移键控
BP神经网络
低信噪比
模式识别
FSK signal
BP neural network
low signal-noise-ratio （LSNR）
pattern recognition
