{"title":"Prior-Information Associated Channel Parameter Estimation for Aeronautical Communications","authors":"Youyou Zhao, Xingxuan Zuo, Yingbo Shang, X. Mu, Jiankang Zhang","doi":"10.1109/CYBERC.2018.00078","DOIUrl":null,"url":null,"abstract":"L-band digital aeronautical communication system (L-DACS) based on orthogonal Frequency Division Multiplexing (OFDM) technology is the best candidate for the future communication infrastructure of the air-to-ground (AG) communication system. How does the receiver can correctly and timely determine the channel change becomes the basis for ensuring the stable transmission of information in the aeronautical communication network. In this paper, we propose a channel parameter estimation algorithm using the statistical multipath delay information of takeoff and landing near the airport as a priori information in the navigation system and fixed aircraft scene. Simulation results have demonstra-ted that the proposed algorithm significantly improves the estimated performance on the basis of reducing the parameters to be estimated.","PeriodicalId":282903,"journal":{"name":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CYBERC.2018.00078","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
L-band digital aeronautical communication system (L-DACS) based on orthogonal Frequency Division Multiplexing (OFDM) technology is the best candidate for the future communication infrastructure of the air-to-ground (AG) communication system. How does the receiver can correctly and timely determine the channel change becomes the basis for ensuring the stable transmission of information in the aeronautical communication network. In this paper, we propose a channel parameter estimation algorithm using the statistical multipath delay information of takeoff and landing near the airport as a priori information in the navigation system and fixed aircraft scene. Simulation results have demonstra-ted that the proposed algorithm significantly improves the estimated performance on the basis of reducing the parameters to be estimated.