Ziad Hatab, Hiroaki Takahashi, M. Gadringer, W. Bosch
{"title":"基于奇异值分解的OFDM符号定时与载波频偏估计","authors":"Ziad Hatab, Hiroaki Takahashi, M. Gadringer, W. Bosch","doi":"10.1109/CoBCom55489.2022.9880699","DOIUrl":null,"url":null,"abstract":"In this paper, we present a new technique for estimating symbol-timing offset (STO) and carrier frequency offset (CFO) in orthogonal frequency division multiplexing (OFDM) systems. The method we present is based on detecting a training sequence at the beginning of an OFDM stream using singular value decomposition (SVD), where STO and CFO are simultaneously estimated. We show by numerical simulations that our algorithm significantly improves STO and CFO estimation compared to conventional maximum likelihood (ML) techniques at low signal-to-noise ratio (SNR) values.","PeriodicalId":131597,"journal":{"name":"2022 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications (CoBCom)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"OFDM Symbol-timing and Carrier-frequency Offset Estimation Based on Singular Value Decomposition\",\"authors\":\"Ziad Hatab, Hiroaki Takahashi, M. Gadringer, W. Bosch\",\"doi\":\"10.1109/CoBCom55489.2022.9880699\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a new technique for estimating symbol-timing offset (STO) and carrier frequency offset (CFO) in orthogonal frequency division multiplexing (OFDM) systems. The method we present is based on detecting a training sequence at the beginning of an OFDM stream using singular value decomposition (SVD), where STO and CFO are simultaneously estimated. We show by numerical simulations that our algorithm significantly improves STO and CFO estimation compared to conventional maximum likelihood (ML) techniques at low signal-to-noise ratio (SNR) values.\",\"PeriodicalId\":131597,\"journal\":{\"name\":\"2022 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications (CoBCom)\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications (CoBCom)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CoBCom55489.2022.9880699\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications (CoBCom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CoBCom55489.2022.9880699","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
OFDM Symbol-timing and Carrier-frequency Offset Estimation Based on Singular Value Decomposition
In this paper, we present a new technique for estimating symbol-timing offset (STO) and carrier frequency offset (CFO) in orthogonal frequency division multiplexing (OFDM) systems. The method we present is based on detecting a training sequence at the beginning of an OFDM stream using singular value decomposition (SVD), where STO and CFO are simultaneously estimated. We show by numerical simulations that our algorithm significantly improves STO and CFO estimation compared to conventional maximum likelihood (ML) techniques at low signal-to-noise ratio (SNR) values.