无线光载射频通信的弱信号自动检测

• 作 者: 刘涛 杨艺敏 赵中华
• 机 构: 桂林电子科技大学,
• 出 处: 激光杂志
• 发表日期: 2017年09期
• 关键词: 弱信号检测 随机共振 小波变换 光载射频 尺度变换 时频特征 抗噪性能 射频通信 光纤网络 电磁干扰

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 networks have the advantages of low electromagnetic interference and large bandwidth. However, some weak signals are often inundated due to system noise during transmission. In view of the weak anti-noise performance, poor real-time performance and low detection rate of current weak signal detection methods, Research on Weak Signal Detection Based on Stochastic Resonance and Wavelet Transform. First of all, we use the stochastic resonance technique to adjust the parameters and scale transformation, and output the resonant frequency of the characteristic signal in the weak signal, and can suppress the interference of the noise to the weak signal. Then we extract the continuous weak time-frequency eigenvalue based on wavelet transform, The weak signal detection in RF communication, the final experimental results show that the detection method has good anti-noise performance and high detection rate of weak signals.