基于双树复小波和形态学的卫星异常数据滤波方法
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摘要
受系统结构复杂、工作环境恶劣等因素影响,卫星的工作状态会存在介于正常和故障之间的异常状态,导致其遥测数据中不仅含有噪声,还存在异常数据。采用传统滤波算法进行去噪处理时,会存在对异常数据保留不充分的问题,从而导致突变信息丢失。针对上述问题,提出一种基于双树复小波与形态学滤波的卫星遥测数据组合滤波方法,设计一种半软阈值滤波函数来提高双树复小波的滤波性能,并提出一种组合滤波算法。通过仿真实验进行验证,结果表明:本文方法可以对遥测数据中的噪声进行有效滤除并对异常数据进行保留。
Influenced by complex structure and poor working conditions,the working status of satellite will have abnormal state that between normal and fault,which would cause not only noise,but also abnormal data existed in the telemetry data.However,when the traditional data filtering algorithm is used to kill the noise,the abnormal data as well as the related information could be lost.Therefore,a combined filtering method of telemetry data based on double tree complex wavelet and morphological filtering is proposed.To be specific,a semi-soft threshold filter function is designed to improve the filtering performance.Thus,a combined filtering algorithm is proposed.The experimental results show that the proposed method can effectively filter the noise in the telemetry data and retain the abnormal data.
Influenced by complex structure and poor working conditions,the working status of satellite will have abnormal state that between normal and fault,which would cause not only noise,but also abnormal data existed in the telemetry data.However,when the traditional data filtering algorithm is used to kill the noise,the abnormal data as well as the related information could be lost.Therefore,a combined filtering method of telemetry data based on double tree complex wavelet and morphological filtering is proposed.To be specific,a semi-soft threshold filter function is designed to improve the filtering performance.Thus,a combined filtering algorithm is proposed.The experimental results show that the proposed method can effectively filter the noise in the telemetry data and retain the abnormal data.
引文
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[2]樊文平,卢建新.运载火箭遥测数据天基中继技术研究[J].无线电工程,2017,47(8):36-39.Fan Wenping,Lu Jianxin.Research on space-based telemetry data transmission technology for launch vehicle[J].Radio Engineering,2017,47(8):36-39.(in Chinese)
[3]柯骏培.基于相似度匹配的卫星在轨状态异变分类和识别算法[D].成都:电子科技大学,2016.Ke Junpei.The classification and recognition algorithm of satellite variation-status based on similarity matching[D].Chengdu:University of Electronic Science and Technology,2016.(in Chinese)
[4]李旭芳,苟茹君,段春林,等.遥测实测信号的奇异值滤波[J].弹箭与制导学报,2016,36(5):166-168.Li Xufang,Gou Rujun,Duan Chunlin,et al.Research on singular value filtering method of telemetry signal[J].Journal of Projectiles,Rockets,Missiles and Guidance,2016,36(5):166-168.(in Chinese)
[5]赵圣占,谷阳阳.靶场遥测数据滤波方法分析研究[J].强度与环境,2015,42(6):52-57.Zhao Shengzhan,Gu Yangyang.The analysis and research of the filter methods of the telemetry data range[J].Structure&Environment Engineering,2015,42(6):52-57.(in Chinese)
[6]柳振民,彭宗尧,郭力闻.小波变换在火箭遥测数据误码剔除中的应用[J].兵器装备工程学报,2017,38(5):94-98.Liu Zhenmin,Peng Zongyao,Guo Liwen.Application of wavelet transform in eliminating error of rocket telemetry data[J].Journal of Ordnance Equipment Engineering,2017,38(5):94-98.(in Chinese)
[7]师培峰,邱伟,吴瑞斌,等.HHT在遥测信号处理中的应用[J].遥测遥控,2015,36(4):25-30,50.Shi Peifeng,Qiu Wei,Wu Ruibin,et al.Application of HHT in telemetry signal processing[J].Journal of Telemetry,Tracking and Command,2015,36(4):25-30,50.(in Chinese)
[8]Selesnick I W,Baraniuk R G,Kingsbury N C.The dualtree complex wavelet transform[J].IEEE Signal Processing Magazine,2005,22(6):123-151.
[9]Fahmy G,Fahmy M F,Fahmy O M.Micro-movement magnification in video signals using complex wavelet analysis[J].IET Image Processing,2017,11(11):986-993.
[10]邱爱中,张海泉,崔晓,等.双树复小波滤波器构造及其在机械故障诊断中的应用[J].机械科学与技术,2017,36(4):542-546.Qiu Aizhong,Zhang Haiquan,Cui Xiao,et al.Design method of DT-CWT and its application in mechanical fault diagnosis[J].Mechanical Science and Technology for Aerospace Engineering,2017,36(4):542-546.(in Chinese)
[11]梁月吉,任超,庞光锋,等.结合模平方的双树复小波变形监测数据滤波[J].测绘科学,2016,41(6):23-27.Liang Yueji,Ren Chao,Pang Guangfeng,et al.A dual-tree complex wavelet transform method based on modulus square for deformation analysis[J].Science of Surveying and Mapping,2016,41(6):23-27.(in Chinese)
[12]李丹,柏桐,庞宇,等.基于双树复小波变换和形态滤波的PPG信号去噪方法[J].生命科学仪器,2016,14(Z2):54-56.Li Dan,Bai Tong,Pang Yu,et al.A hybrid denoising method for PPG signal based on dual tree complex wavelet transform and morphological filtering[J].Life Science Instruments,2016,14(Z2):54-56.(in Chinese)
[13]Donoho D L.Denoising by soft-thresholding[M].IEEE Press,1995.
[14]陈晓曦,王延杰,刘恋.小波阈值去噪法的深入研究[J].激光与红外,2012,42(1):105-110.Chen Xiaoxi,Wang Yanjie,Liu Lian.Deep study on wavelet threshold method for image noise removing[J].Laser&Infrared,2012,42(1):105-110.(in Chinese)
[15]王广成,王巾盈,孙喜.数学形态学在遥测数据处理中的应用研究[J].飞行器测控学报,2009,28(1):33-37.Wang Guangcheng,Wang Jinying,Sun Xi.Application of mathematical morphology in telemetry data processing[J].Journal of Spacecraft TT&C Technology,2009,28(1):33-37.(in Chinese)
[16]原少斌.回归分析中异常值诊断方法的比较研究[D].兰州:兰州商学院,2014.Yuan Shaobin.A Comparative Study of Outliers Detection Methods in Regression Analysis[D].Lanzhou:Lanzhou University of Finance and Economics,2014.(in Chinese)