测量船异常数据辨识与误差抑制  

Outlier Data Identification and Error Reduction for Space Tracking Ships

作　　者：李辉芬[1] 刘冰[1] 陈贵明[1] 冯小勇[1] 底丽萍 

机构地区：[1]中国卫星海上测控部

出　　处：《电讯技术》2014年第8期1082-1086,共5页Telecommunication Engineering

摘　　要：为解决蕴含有复杂变形、船摇周期影响的测量船异常数据检测难题,提出了基于小波分析的异常数据的动态识别与修正方法。基于小波分析的多尺度、局部分析等特性,采用具有紧支撑特性的小波去噪方法,根据数据自适应选取阈值,对噪声进行抑制凸显异常,在实现噪声抑制的同时,较好地保留了局部异常特征,显著提高了异常数据的检出率。测试结果表明,该方法切实可行,效果良好。It is difficult to detect the outlier data influenced by space tracking ship＆#39;s complicated move-ment such as deformation and swaying. To effectively solve the problem, dynamic outlier data identification and elimination method based on wavelet analysis is put forward. According to the features of wavelet anal-ysis such as multi-scale representation and local analysis, compactly supported wavelet denoising method is applied, in which threshold value is selected based on data adaptability, by suppressing the noise anom-aly can be easily checked out, at the same time local anomaly characteristics are better maintained, there-fore anomaly detection rate is obviously improved. The test results show the proposed detection and elimi-nation algorithm is both practical and effective.

关 键 词：航天测量船 异常数据 小波分析 随机噪声 误差抑制 

分 类 号：TN911[电子电信—通信与信息系统] TP274[电子电信—信息与通信工程]