基于零相位拟合模型的野值识别及剔除方法  

Outlier recognition and elimination method base on zero-phase difference fitting model

作　　者：王玉海 周旭 Wang Yuhai;Zhou Xu(Nanjing Keruida Electronic Equipment Co.,Ltd.,Nanjing 211100,China)

机构地区：[1]南京科瑞达电子装备有限责任公司,南京211100

出　　处：《电子测量技术》2024年第4期31-35,共5页Electronic Measurement Technology

摘　　要：通道相位不一致性是影响干涉仪测向精度的重要因素之一,修正零相位校正数据能够提高测向精度。本文提出了基于零相位拟合模型的野值识别方法,通过推导零相位的线性拟合模型,建立拟合相位误差,分析出拟合相位误差服从正态分布,从而将零相位野值识别转换为拟合相位误差的粗大误差识别,最后采用3σ准则和格拉布斯准则进行粗大误差的判别及剔除。通过本方法能够有效识别并剔除零相位野值,试验计算分析表明,零相位野值识别及剔除方法能够有效提高干涉仪测向精度,并已经在工程中得到应用。Channel phase inconsistency is one of the important factors affecting the direction-finding accuracy,rectify zero-phase can improve the direction-finding accuracy.In this paper,an outlier recognition method based on zero-phase difference fitting model is proposed,by deducing the linear fitting model of zero-phase,the fitting phase error is established,and the fitting phase error follows normal distribution,so that the outlier recognition of zero-phase is converted into the gross error recognition of fitting phase error,Finally,the gross error is discriminated and eliminated by 3σcriterion and Grubbs criterion.This method can effectively identify and eliminate the outlier recognition of zero-phase.The experimental calculation shows that outlier recognition and elimination method base on zero-phase difference can effectively improve the direction-finding accuracy,and has been applied in engineering.

关 键 词：零相位 相位校正 拟合模型 拟合相位误差 粗大误差 

分 类 号：TP974[自动化与计算机技术]