Xiaolong Guan, Zhibo Zhou, Jianfeng Wu, Yan Xing, Aiping Zhao, Yuji Li, Xiaoyan Liu
{"title":"Analysis and Prediction Method for the Ground Wave Propagation Delay Characteristics of Long-Wave Time Signals","authors":"Xiaolong Guan, Zhibo Zhou, Jianfeng Wu, Yan Xing, Aiping Zhao, Yuji Li, Xiaoyan Liu","doi":"10.1049/mia2.70044","DOIUrl":null,"url":null,"abstract":"<p>At present, researchers often focus on various aspects such as the meteorological conditions along the long-wave propagation path and the conductive characteristics of the Earth's surface, and analyse the long-wave ground wave propagation delay one by one. If a unified analysis and modelling can be carried out for the long-wave propagation delay affected by multiple factors, it will significantly improve its prediction efficiency and engineering implementation efficiency. Firstly, this paper conducts analysis from the time domain and the frequency domain, and discovers its obvious periodic time-varying characteristics. Based on this, a quadratic polynomial model with periodic terms is constructed and used as the first prediction model. Next, in order to improve the accuracy and make full use of historical data, the new predicted values are inserted into the sequence of measured values to construct a quadratic polynomial long-wave prediction model based on the sliding window and with periodic terms (Model 2). Finally, these two models are used to make predictions for different durations on the 7-day delay data. The actual measurements show that in the short term, the accuracies of the two models are equivalent, and when the prediction duration increases, the advantages of Model Two become more apparent.</p>","PeriodicalId":13374,"journal":{"name":"Iet Microwaves Antennas & Propagation","volume":"19 1","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/mia2.70044","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Iet Microwaves Antennas & Propagation","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/mia2.70044","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
At present, researchers often focus on various aspects such as the meteorological conditions along the long-wave propagation path and the conductive characteristics of the Earth's surface, and analyse the long-wave ground wave propagation delay one by one. If a unified analysis and modelling can be carried out for the long-wave propagation delay affected by multiple factors, it will significantly improve its prediction efficiency and engineering implementation efficiency. Firstly, this paper conducts analysis from the time domain and the frequency domain, and discovers its obvious periodic time-varying characteristics. Based on this, a quadratic polynomial model with periodic terms is constructed and used as the first prediction model. Next, in order to improve the accuracy and make full use of historical data, the new predicted values are inserted into the sequence of measured values to construct a quadratic polynomial long-wave prediction model based on the sliding window and with periodic terms (Model 2). Finally, these two models are used to make predictions for different durations on the 7-day delay data. The actual measurements show that in the short term, the accuracies of the two models are equivalent, and when the prediction duration increases, the advantages of Model Two become more apparent.
期刊介绍:
Topics include, but are not limited to:
Microwave circuits including RF, microwave and millimetre-wave amplifiers, oscillators, switches, mixers and other components implemented in monolithic, hybrid, multi-chip module and other technologies. Papers on passive components may describe transmission-line and waveguide components, including filters, multiplexers, resonators, ferrite and garnet devices. For applications, papers can describe microwave sub-systems for use in communications, radar, aerospace, instrumentation, industrial and medical applications. Microwave linear and non-linear measurement techniques.
Antenna topics including designed and prototyped antennas for operation at all frequencies; multiband antennas, antenna measurement techniques and systems, antenna analysis and design, aperture antenna arrays, adaptive antennas, printed and wire antennas, microstrip, reconfigurable, conformal and integrated antennas.
Computational electromagnetics and synthesis of antenna structures including phased arrays and antenna design algorithms.
Radiowave propagation at all frequencies and environments.
Current Special Issue. Call for papers:
Metrology for 5G Technologies - https://digital-library.theiet.org/files/IET_MAP_CFP_M5GT_SI2.pdf