{"title":"Data-Aided Channel Estimation for OFDM-IDMA Systems","authors":"Yi Zhang, Jiesi Kang, Jinfu Wang, Yue Xiao, Su Hu","doi":"10.1109/ICDSP.2018.8631609","DOIUrl":null,"url":null,"abstract":"This paper is concerned with the channel estimation for orthogonal frequency division multiplexing interleave division multiple access (OFDM-IDMA) systems in the presence of time varying channels. Although the estimation of the channel state information (CSI) for OFDM-IDMA systems is investigated by current literatures in slow fading channels, the channel estimation in the context of fast fading environments remains a challenge, which focuses on a desired tradeoff between the amount of pilot symbols and CSI estimation accuracy. For alleviating the above problem, in this paper, we develop a class of data-aided channel estimation schemes based on the log-likelihood ratio(LLR) calculation at the receiver to track the channel variations for OFDM-IDMA systems. Simulation results demonstrate that the proposed data-aided channel estimation scheme offers substantial performance gain over its conventional counterparts especially in the high-mobility case.","PeriodicalId":218806,"journal":{"name":"2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDSP.2018.8631609","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This paper is concerned with the channel estimation for orthogonal frequency division multiplexing interleave division multiple access (OFDM-IDMA) systems in the presence of time varying channels. Although the estimation of the channel state information (CSI) for OFDM-IDMA systems is investigated by current literatures in slow fading channels, the channel estimation in the context of fast fading environments remains a challenge, which focuses on a desired tradeoff between the amount of pilot symbols and CSI estimation accuracy. For alleviating the above problem, in this paper, we develop a class of data-aided channel estimation schemes based on the log-likelihood ratio(LLR) calculation at the receiver to track the channel variations for OFDM-IDMA systems. Simulation results demonstrate that the proposed data-aided channel estimation scheme offers substantial performance gain over its conventional counterparts especially in the high-mobility case.