【摘 要】
：
针对双路喇曼散射分布式光纤测温系统测温周期过长的缺点,在保证系统空间分辨率的前提下,提出了硬件数字累加平均技术与小波去噪相结合的信号处理方法。重点讨论了小波去噪中
【机 构】
：
北京航空航天大学仪器科学与光电工程学院光电工程系,
论文部分内容阅读
针对双路喇曼散射分布式光纤测温系统测温周期过长的缺点,在保证系统空间分辨率的前提下,提出了硬件数字累加平均技术与小波去噪相结合的信号处理方法。重点讨论了小波去噪中小波基函数的选择、小波分解层数的确定以及阈值量化处理方式的确定三项关键技术。最终采用此种信号处理方法提高了系统信噪比,并将系统测温周期降低至4 s。对比实验结果表明:与硬件数字累加平均相比,小波去噪无论是在改善信噪比还是在减少测温时间方面都具有显著的优势。
Aiming at the shortcoming of long temperature measurement period of dual fiber Raman scattering distributed optical fiber temperature measurement system, a signal processing method based on hardware digital cumulative averaging and wavelet denoising is proposed under the premise of ensuring the spatial resolution of the system. The key technologies of wavelet denoising, such as the choice of wavelet basis function, the determination of wavelet decomposition level and the determination of threshold quantification processing are discussed. Finally, this kind of signal processing method is used to improve the signal-noise ratio of the system and reduce the system temperature measurement period to 4 s. The experimental results show that the wavelet denoising has significant advantages both in terms of improving the signal-to-noise ratio and reducing the temperature measurement time compared with the hardware digital cumulative average.
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