摘要
Abstract
[Objective]In traditional Optical Time Domain Reflectometer(OTDR),the processing of signal denoising relies on the cumulative average method.The method is effective but the consumption of time resources increases exponentially with the in-crease of demand.Aiming at the higher requirement of signal denoising effect and time efficiency of new OTDR equipment,this paper proposes a wavelet denoising method based on improved FOX optimization algorithm.[Methods]The method proposed in this paper combines the improved FOX optimization algorithm with wavelet threshold denoising.Therefore,the wavelet threshold denoising can remove the uncertainty caused by a large number of parameters.Moreover,its parameters can be flexibly configured for signals with distinct characteristics,thereby facilitating practical deployment.In this paper,an improved adaptive FOX optimi-zation algorithm is designed,and an adaptive factor is added to the random search stage of the original algorithm,resulting in bet-ter random search ability and ensuring convergence performance.The improved algorithm is tested by the test function set and the significance test,which verifies that the improved algorithm has better optimization performance than the original algorithm.Fur-thermore,the improved algorithm combined with wavelet threshold denoising method is applied to simulations and actual measure-ment experiments of OTDR signals.[Results]The simulation results show that compared with the traditional genetic algorithm and the original FOX algorithm,the proposed FOX algorithm increased the Signal to Noise Ratio(SNR)and Root Mean Square Error(RMSE)by 16.10%and 4.25%,and decreased by 16.30%and 4.97%,respectively.Compared with the original signal,the SNR of the denoised signal has increased by 3.187 dB and the RMSE has decreased by 0.272 6.In the actual data experi-ment,compared with the original signal,the SNR improved by 2.376 dB and don't fall into the local optimal solution of 2.368 dB,and the average processing time is 19.56 s.The results are better than the two comparison algorithms,and the param-eter setting schemes are obtained.[Conclusion]The wavelet denoising method based on the improved FOX optimization algo-rithm proposed in this paper optimizes the parameter setting process,significantly improves the denoising performance,and pro-vides a new solution for the signal processing of OTDR equipment and other application scenarios.关键词
红狐优化算法/小波阈值去噪/光时域反射仪/信噪比Key words
FOX optimization algorithm/wavelet threshold denoising/OTDR/SNR分类
信息技术与安全科学
