{"title":"Wireless Channel Estimation in Shipbuilding Scenario Based on Reconfigurable Intelligent Surface","authors":"Xinhai Yan, Dongyao Wang, Ziping Wei, Bin Li","doi":"10.1109/icwoc55996.2022.9809900","DOIUrl":null,"url":null,"abstract":"Channel State Information (CSI) estimation is a very important part in the wireless communication system within the complex shipbuilding scenario. The estimation accuracy determines the rationality of the design of the precoding module in the whole communication system, and influence the spectrum efficiency and channel capacity. This paper firstly summarizes the traditional channel estimation technologies and analyzes their strengths and weaknesses. Then, with the low-rank property of channel matrix under the complicated electromagnetic environment within the shipbuilding scenario, this work proposes a fast estimation scheme for high-precision channel state information, which balances two very important but contradictory optimization objectives for channel estimation, i.e. computation complexity and accuracy. While greatly reducing the time complexity of channel estimation, the proposed method also greatly improves the estimation accuracy, which is verified by the simulation results.","PeriodicalId":402416,"journal":{"name":"2022 10th International Conference on Intelligent Computing and Wireless Optical Communications (ICWOC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 10th International Conference on Intelligent Computing and Wireless Optical Communications (ICWOC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icwoc55996.2022.9809900","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Channel State Information (CSI) estimation is a very important part in the wireless communication system within the complex shipbuilding scenario. The estimation accuracy determines the rationality of the design of the precoding module in the whole communication system, and influence the spectrum efficiency and channel capacity. This paper firstly summarizes the traditional channel estimation technologies and analyzes their strengths and weaknesses. Then, with the low-rank property of channel matrix under the complicated electromagnetic environment within the shipbuilding scenario, this work proposes a fast estimation scheme for high-precision channel state information, which balances two very important but contradictory optimization objectives for channel estimation, i.e. computation complexity and accuracy. While greatly reducing the time complexity of channel estimation, the proposed method also greatly improves the estimation accuracy, which is verified by the simulation results.