{"title":"基于虚拟子载波OFDM系统的低复杂度载波频偏估计","authors":"Feng Xinxin, S. Feng","doi":"10.1109/ICCSC.2008.11","DOIUrl":null,"url":null,"abstract":"A maximum likelihood (ML) estimator of carrier frequency offset (CFO) based on virtual carriers is firstly proposed in [1]. Its main disadvantage is large computational amount. By IFFT and piecewise searching techniques, its complexity is significantly reduced. Simulation results in AWGN and Typical Urban (TU) channels show that the simplified ML estimator has low complexity and achieves the same performance as the original one.","PeriodicalId":137660,"journal":{"name":"2008 4th IEEE International Conference on Circuits and Systems for Communications","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Low-Complexity Carrier Frequency Offset Estimator for OFDM System with Virtual Subcarriers\",\"authors\":\"Feng Xinxin, S. Feng\",\"doi\":\"10.1109/ICCSC.2008.11\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A maximum likelihood (ML) estimator of carrier frequency offset (CFO) based on virtual carriers is firstly proposed in [1]. Its main disadvantage is large computational amount. By IFFT and piecewise searching techniques, its complexity is significantly reduced. Simulation results in AWGN and Typical Urban (TU) channels show that the simplified ML estimator has low complexity and achieves the same performance as the original one.\",\"PeriodicalId\":137660,\"journal\":{\"name\":\"2008 4th IEEE International Conference on Circuits and Systems for Communications\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 4th IEEE International Conference on Circuits and Systems for Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSC.2008.11\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 4th IEEE International Conference on Circuits and Systems for Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSC.2008.11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Low-Complexity Carrier Frequency Offset Estimator for OFDM System with Virtual Subcarriers
A maximum likelihood (ML) estimator of carrier frequency offset (CFO) based on virtual carriers is firstly proposed in [1]. Its main disadvantage is large computational amount. By IFFT and piecewise searching techniques, its complexity is significantly reduced. Simulation results in AWGN and Typical Urban (TU) channels show that the simplified ML estimator has low complexity and achieves the same performance as the original one.