LWT-FLP去噪算法在FBG传感器信号处理中的应用  

Application of LWT-FLP Denoising Algorithm in Signal Processing of FBG Sensor

作　　者：尹凌 YIN Ling(Guangdong Agricultural Reclamation Zhanjiang Polytechnic School,Zhanjiang 524091)

机构地区：[1]广东省农垦湛江技工学校

出　　处：《计算机与数字工程》2020年第1期247-251,共5页Computer & Digital Engineering

摘　　要：为了提高传感器信号处理的精度,结合提升小波变换和前向线性预测算法的优势,提出了一种新的去噪LWT-FLP去噪算法,首先利用提升小波对加速度计数据进行了多尺度变换,降低了原始数据的不平稳性;其次利用高频数据进行灰化处理,使原本无规律的数据体现出一定的规律性,可以有效提高FLP的预测精度。并对FBG传感器信号进行应用结果表明,提出的算法能够有效去除噪声对FBG传感器输出信号的影响,有效地证明了提出的LWT-FLP算法在去噪方面的优越性。通过与单一的算法进行去噪结果对比,验证了该算法的准确性,为传感器信号处理提供了一定的理论新方法。In order to improve the precision of sensor signal processing,combining with the lifting wavelet transform and the advantages of the forward linear prediction algorithm,this paper proposes a new denoising LWT-FLP denoising algorithm,the first of the accelerometer data of lifting wavelet multi-scale transform,reduces the original data of stability.Secondly high frequency da ta is used to ashing process,it makes originally irregular data reflects a certain regularity,can effectively improve the prediction ac curacy of FLP.And the FBG sensor signals application results show that the algorithm can effectively remove the noise of the FBG sensor output signal and the effect of effective proved LWT-FLP algorithm in the denoising aspect superiority.Compared with sin gle algorithm for denoising results,the accuracy of the algorithm is verified,it provides certain theoretical new method to the sensor signal processing.

关 键 词：FBG传感器 信号处理 去噪算法 小波变换 前向线性预测 

分 类 号：TH825[机械工程—仪器科学与技术]