光纤网络具有低电磁干扰、大带宽等优点,但在传输过程一些弱信号由于系统噪声干扰常被淹没,针对当前弱信号检测方法抗噪性能不佳、实时性差、检测率低等不足,提出了随机共振和小波变换相结合的弱信号检测方法研究。首先利用随机共振技术进行参数调节和尺度变换,对弱信号中的特征频率共振输出,并能够抑制噪声对弱信号的干扰,然后依据小波变换提取连续的弱信号时频特征值,实现无线光载射频通信中的弱信号检测,最后实验结果表明,该检测方法具有良好的抗噪性能和较高的弱信号检测率。
Optical fiber network has low electromagnetic interference, high bandwidth and other advantages. But some weak signal is often flooded in the transmission process due to system noise. In view of the defects of current weak signal detection method such as poor anti-noise performance, poor real-time and low detection rate, this paper puts forward a new research method of weak signal detection based on stochastic resonance combined with wavelet transform. First adjust the parameters and transform scales through stochastic resonance. Resonance output the charac-teristic frequency of weak signal and effectively suppress the noise interference on weak signal. Then extract the eigen-value of continuous weak signal based on wavelet transform to realize the weak signal detection in the wireless optical radio frequency communication. Finally the experimental results show that this method has good anti-noise performance and high detection rate.