基于小波包的分布式光纤信号降噪方法

Distributed optical fiber signal denoising method based on wavelet packet

由于受到其它因素的影响,采集光纤通讯信号具有一些噪声,这些噪声对分布式光纤信号后期处理产生一定的干扰,为了抑制噪声对分布式光纤信号处理的负面影响,改善分布式光纤信号质量,提出了基于小波包的分布式光纤信号降噪方法。首先对当前分布式光纤信号噪声去除方法的研究现状进行分析,找出当前降噪方法存在的局限性,然后引入小波包对原始分布式光纤信号细分,并采用不同方法对分布式光纤细节信号进行去噪处理,最后采用小波包对去噪后的细节信号进行重构,达到分布式光纤信号降噪效果。仿真测试结果表明,小波包可以有效去除分布式光纤信号的噪声,去噪效率高,而且分布式光纤信号去噪效果要明显优于当前光纤信号降噪方法,更加有利于后续分布式光纤信号处理和分析,具有更高的实际应用价值。

Due to other factors,the acquisition of optical fiber communication signals has some noise,which has certain interference to the post-processing of distributed optical fiber signals. In order to suppress the negative impact of noise on distributed optical fiber signal processing and improve the quality of distributed optical fiber signals,a distributed optical fiber signal denoising method based on wavelet packet is proposed. Firstly,the current research status quo of distributed optical fiber signal noise removal methods is analyzed,and the limitations of current noise reduction methods are found. Then,the original distributed optical fiber signals is subdivided and analyzed based on the wavelet packet. And different methods are applied to the distributed optical fiber detail signals to denoising. And finally the wavelet packet is used to reconstruct the denoised detail signal to achieve the distributed fiber signal denoising. The simulation results show that the wavelet packet can effectively remove the noise of the distributed optical fiber signal,and the denoising efficiency is high. The denoising effect of the distributed optical fiber signal is obviously better than the current fiber signal denoising method,which is more conducive to the subsequent distributed optical fiber signal processing and analysis,and with higher practical value.