消除采样累加过程中的周期性噪声对DTS精度的影响

Elimination of Effect of Periodic Noise on DTS Accuracy in Sampling Accumulation

摘要:

分布式光纤测温系统中不仅有白噪声干扰,还有周期性噪声干扰,而传统的采样累加平均方法仅能消除白噪声干扰。提出一种在采样累加过程中对采样周期内各点累加的方法,判断和滤除采样周期内的周期性信号。测温实验结果表明,通过在累加过程中设置判据消除周期性噪声,分布式光纤测温系统的精度得到了大幅提高。

Abstract:

Both white noise and periodic noise exist in distributed optical fiber temperature measurement systems. Traditional sample-accumulative averaging method can only eliminate white noise. In this paper, a method of accumulating points in the sampling period during the sampling and accumulating process was proposed to judge and filter out the periodic signals in the sampling period. Temperature measurement experiments indicate that the accuracy of the DTS is greatly improved by setting the criterion to eliminate the periodic noise during the accumulation process.