无线网络光纤通信信号中清除干扰噪声仿真

摘要

对无线网络光纤通信信号中干扰噪声进行清除,能够有效提高光纤通信过程稳定性.对光纤通信信号的噪声进行清除,需要引入自适应阈值算法,重构光纤通信原始信号,完成通信信号干扰噪声的清除.传统方法采用的软阈值选取法,得到信号噪声的干扰频率,但忽略了对原始信号的重构,导致通信干扰清除效果不理想.提出基于新型阈值决策的光纤通信信号干扰噪声清除方法,在对无线网络中光纤通信信号含噪信号进行小波分解后的不同层系数中,对大于或者小于某一阈值的小波系数分别进行处理;重构无线网络中的光纤通信信号原始信号,实现平滑去噪.为了解决在光纤通信信号每一级尺度上都采用同一阈值的问题,引入自适应阈值算法重构光纤通信信号原始信号.实验结果证明,所提方法能够有效实现信噪分离,大大提高了信噪比,且保留了无线网络中光纤通信信号的细节特征.%A method for removing interference noise in optical fiber communication signal based on new threshold decision is presented.In wireless network,after the noisy signal of optical fiber communication signal is decomposed by wavelet,for coefficients in different layers,respectively,the wavelet coefficient which is greater than or less than a certain threshold is processed.Then,the original signal in the wireless network is reconstructed to achieve the smooth denoising.In order to solve the problem using the same threshold in each level of optical fiber communication signal,the self-adaptive threshold algorithm is introduced to reconstruct the original signal of optical fiber communication signal.Simulation results prove that the proposed method can effectively realize the signal-noise separation,which greatly improves the signal to noise ratio and persists the detail feature of optical fiber communication signal in the wireless network.