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基于SPARC高分辨率数据的悬空波导特征参数预测

杨铖 姚传志 刘文璐 马进梓 王健

电波科学学报2026,Vol.41Issue(4):725-735,11.
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电波科学学报2026,Vol.41Issue(4):725-735,11.DOI:10.12265/j.cjors.2026108

基于SPARC高分辨率数据的悬空波导特征参数预测

Prediction of elevated duct characteristics based on SPARC high-resolution data

杨铖 1姚传志 1刘文璐 1马进梓 1王健2

作者信息

  • 1. 天津大学微电子学院,天津 300072
  • 2. 天津大学微电子学院,天津 300072||华北电力大学电气与电子工程学院,北京 102206
  • 折叠

摘要

Abstract

Elevated duct is a natural phenomenon occurring in the troposphere,where signals undergo superrefraction within the duct and can achieve long-distance,low-loss propagation,making it a promising breakthrough point in marine communication research.To support marine communication applications and improve the prediction accuracy of duct parameters,this paper utilizes high-resolution radiosonde data from the SPARC(Stratosphere-troposphere Processes and their Role in Climate)project,specifically focusing on the elevated ducting strength time series from the SAN JUAN,MAJURO,and TRUK INTL stations recorded between 2016 and 2022.By introducing the neural hierarchical interpolation for time series(N-HiTS)method,a high-precision long-term prediction model for elevated ducting strength was constructed,with single-site modeling and multi-site validation performed.The results show that for the observational data at the TRUK INTL station,the model captures both long-term trends and local fluctuation features in the strength series,achieving a root mean square error(RMSE)of 6.35 M-units and a mean absolute error(MAE)of 4.31 M-units.For the validation stations,SAN JUAN and MAJURO,the RMSE values are 7.35 M-units and 6.54 M-units,respectively.The proposed model exhibits strong generalization capability in the long-term prediction of elevated duct strength,providing robust support for the analysis of elevated duct characteristic parameters and the study of wireless propagation effects under this mechanism.

关键词

悬空波导/波导强度/高分辨率探空数据/长期预测/N-HiTS

Key words

elevated duct/duct strength/high-resolution radiosonde data/long-term prediction/N-HiTS

分类

信息技术与安全科学

引用本文复制引用

杨铖,姚传志,刘文璐,马进梓,王健..基于SPARC高分辨率数据的悬空波导特征参数预测[J].电波科学学报,2026,41(4):725-735,11.

电波科学学报

1005-0388

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