全球定位系统2025，Vol.50Issue(5)：8-17,10.DOI:10.12265/j.gnss.2025060
基于TCAN优化的短周期区域对流层延迟模型
A short-period regional tropospheric delay model optimized by TCAN
摘要
Abstract
Aiming at the problem of limited correction accuracy of traditional tropospheric delay models,a tropospheric delay prediction model by optimized time convolutional attention network(TCAN)is proposed.This model takes the station location information,time information,and the time series of tropospheric zenith total delay(ZTD)as input features,and the time series of ZTD as output features.Three target windows of 2 h,6 h,and 12 h are designed for model training,and a short-period ZTD prediction model is established.Taking the continuous 30 day data from 19 stations of continuously operating reference stations(CORS)in Hong Kong,China as the research object,the experimental results show that when a 2-hour target window is set,the accuracy of the short-period ZTD prediction model based on the TCAN is better than that of 6 h and 12 h.Bias is 2.28 cm,root mean square error(RMSE)is 3.10 cm,and standard deviation(STD)is 2.11 cm.Compared with the traditional global pressure and temperature3(GPT3)model,the prediction accuracy of the optimized TCAN model has increased by 124%,69%,and 48%,respectively.In conclusion,the proposed model has certain application value in the field of the GNSS precise positioning.关键词
天顶对流层延迟(ZTD)建模/短周期ZTD时间序列/TCAN/精度评定/滑动窗口Key words
ZTD modeling/short-period ZTD time series/TCAN/accuracy assessment/sliding window分类
测绘与仪器引用本文复制引用
周小雨,陈健,赵兴旺,刘超..基于TCAN优化的短周期区域对流层延迟模型[J].全球定位系统,2025,50(5):8-17,10.基金项目
安徽理工大学青年科技基金(2024IBQN0026) （2024IBQN0026）
研究生创新基金(2024cx2149) （2024cx2149）
