基于改进小波阈值算法的遥测数据去噪研究  

Denoising of Telemetry Data Based on Improved Wavelet Threshold Algorithm

作　　者：苏小会[1] 王钦钦 王贵鸿 SU Xiao-hui;WANG Qin-qin;WANG Gui-hong(Computer Science and Engineering College,Xi'an Technological University,Xi'an 710032,China)

机构地区：[1]西安工业大学计算机科学与工程学院

出　　处：《科学技术与工程》2019年第22期254-258,共5页Science Technology and Engineering

基　　金：西安工业大学工程实验室项目基金(GSYSJ2018012)资助

摘　　要：为改善目前遥测数据检测系统硬件体积较大、数据测量误差大、去噪算法适用性弱等缺陷,利用改进小波阈值的遥测参数去噪算法实现了遥测监测系统软件化设计,通过对遥测空速、发动机转速等参数进行小波去噪效果实验分析,结果表明,该算法对于空速数据去噪效果显著提升,将测量误差平方和降低为2199.6,去噪拟合曲线与原始数据曲线相似度高达0.989,且对其他遥测数据噪声处理具有较好的通用性.In order to improve the shortcomings of large hardware volume,large data measurement error,weak applicability of de-noising algorithm in the current telemetry data detection system,the software design of telemetry monitoring system was realized based on the improved wavelet threshold de-noising algorithm for telemetry parameters.The wavelet dissication experiment was carried out based on the airspeed and engine speed.It shows that the algorithm s de-noising effect for telemetry airspeed data is significantly improved,the square sum of measurement errors is reduced to 2 199.6 and the similarity between the de-noising fitting curve and the original data curve is as high as 0.988 9,and it has good generality in data de-noise for other telemetry parameters.

关 键 词：遥测数据去噪 小波变换 阈值函数 曲线相似度 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]