单站区域实时电离层异常改正拟合模型研究  

Establishment of Fitting Model for Real-Time Ionospheric Anomaly Correction in Single Station Area

作　　者：孙帆 宁一鹏 邢建平 王森 代培培 SUN Fan;NING Yipeng;XING Jianping;WANG Sen;DAI Peipei(School of Microelectronics,Shandong University,Jinan Shangdong 250100,China;School of Geo-Information,Shandong Jianzhu University,Shandong Jianzhu University,Jinan Shangdong 250101,China)

机构地区：[1]山东大学微电子学院,山东济南250100 [2]山东建筑大学测绘地理信息学院,山东济南250101

出　　处：《电子器件》2023年第5期1301-1306,共6页Chinese Journal of Electron Devices

基　　金：北斗高精度交通应用技术研究基金(2020BZ06-01);北斗智能精准定位技术集成及区域服务业创新示范项目(2021YFB1407000)。

摘　　要：针对传统电离层模型受伪距数据质量制约,局部或某时刻误差较大以及实时性不高的问题,提出一种拟合模型。利用CODE提供数据进行季节性时间序列法(Holt-Winters’)得到预测模型,将其与所求区域内基于接收机的多频载波相位平滑伪距法得到的球谐多级模型进行比较,经异常条件判定,使两种方法的结合可以充分发挥各自优势。对比验证分析模型与传统模型精度结果,结果表明,在所求测站MIZU上空及周边区域内建立模型相比于载波相位平滑法,日测点上空电离层(VTEC)的均方差(RMSE)提高3.992,稳定度提高59.44%;较预测模型法,日VTEC的RMSE提高3.458,稳定度提高53.99%。该方法有效提高预测模型实时性,削弱计算模型的不稳定性,提高电离层模型精度,支撑北斗导航研究。In view of the problem that the traditional ionospheric model is restricted by the quality of pseudorange data,the local error or error at a certain time is large and the real-time performance is not high,a fitting model is proposed.The CODE data are used to conduct the seasonal time series method(Holt-Winters’)to obtain the prediction model,which is compared with the spherical harmonic multilevel model obtained by the receiver-based multi-frequency carrier phase smoothing pseudorange method in the given region.After the judgment of abnormal conditions,the combination of the two methods can give full play to their respective advantages.The accuracy values of the analysis model and the traditional model are compared and verified,and the results show that the proposed model is effective.Compared with the carrier phase smoothing method,the RMSE of daily VTEC is increased by 3.992 and the stability is increased by 59.44%when the model is established over and around the MIZU of the measured station.Compared with the prediction model method,the RMSE of daily VTEC is increased by 3.458,and the stability is increased by 53.99%.This method effectively improves the real-time performance of the prediction model,weakens the instability of the calculation model,improves the accuracy of the ionosphere model,

关 键 词：季节性时间序列法 多频载波相位平滑伪距法 球谐函数模型 最小二乘法 电离层异常判定 

分 类 号：P228.4[天文地球—大地测量学与测量工程]