小波分解在分布式光纤温度测量系统中的应用

针对单路反斯托克斯光温度测量系统测量周期过长的问题，在保证系统的时间分辨率和空间分辨率的前提下，提出了一种利用小波分解、多分辨分析、小波重构等缩短测量周期的信号处理方法。重点讨论了分布式温度测量信号的特点，根据这些特点选择合适的小波函数，并借用信息论中Shannon熵的概念，提出了根据信息熵的大小确定小波分解层数的方法。对比实验证明，此方法能有效缩短温度测量周期，提高了系统的实用性。

Application of wavelet decomposition in -=distributed optical fiber temperature measurement system

A conventional single|channel anti|Stokes temperature measurement system usually demands a considerately long measuring period. To overcome such a drawback while guarantee time and space resolution of the system, a method was proposed in this paper, which calls for a much shorter period by employing modern DSP such as wavelet decomposition, multi|resolution analysis and wavelet reconstruction .The characteristics of distributed temperature measurement signal were discussed first. Then, how to select proper wavelet functions was emphasized as well as how to ascertain the levels of wavelet decomposition by means of Shannon entropy.The experiments indicate that the measurement period is greatly reduced, thus the system becomes more efficient.