奇异谱分解结合改进的广义相关法对时延估计的优化  

Optimization of Time Delay Estimation by Singular Spectral Decomposition and Improved Generalized Correlation Method

作　　者：邢毓华[1] 王恒 Xing Yuhua;Wang Heng(School of Automation and Information Engineering,Xi’an University of Technology,Xi’an 710048,Shaanxi,China)

机构地区：[1]西安理工大学自动化与信息工程学院,陕西西安710048

出　　处：《激光与光电子学进展》2024年第5期195-203,共9页Laser & Optoelectronics Progress

摘　　要：针对模拟信号进行时延估计时相比解调过的信号更易受到噪声影响,导致出现误判点增多、正确峰值被掩盖等问题。本文提出采用奇异谱分解结合改进的广义相关法,降低高斯噪声对时延估计结果的影响。Simulink仿真实验表明,相比于解调信号时延估计法,该方法可在更低发射频率需求下得到同量级精度的故障类型和距离信息。在-5 dB高斯噪声环境下多次实验验证可得,相比二次相关法结果主峰值旁瓣比绝对值增加了0.6756 dB以上,误判峰值与故障点峰值比减少了0.2710以上,其他条件下亦有不同程度提升。Time delay estimation for analog signals is more susceptible to noise than that for demodulated signals,which increases false positives and conceals the correct peak value.The singular spectral decomposition method combined with improved generalized cross-correlation function is proposed to reduce the influence of Gaussian noise on the time delay estimation results.Simulink simulation results show that the proposed method can obtain fault-type and distance information in the same order of magnitude accuracy for lower transmission frequency requirements than demodulation signal time delay estimation.Multiple experimental verifications in the-5 dB Gaussian noise environment can yield that,compared to the results of the secondary correlation method,the absolute value of the main peak side-lobe ratio increases by more than 0.6756 dB,and the ratio of the peak value of misjudgment to the peak value of the fault point decreases by more than 0.2710.This also improves in different degrees under other conditions.

关 键 词：光纤光学与光通信 时延估计 奇异谱分解 广义互相关 

分 类 号：O436[机械工程—光学工程]