{"title":"时频同步的逐次最大似然估计","authors":"Yingming Tsai, Guodong Zhang, Xiaodong Wang","doi":"10.1109/VETECF.2007.295","DOIUrl":null,"url":null,"abstract":"A new repetitive synchronization signal structure is proposed for wireless communication systems. A corresponding successive maximum likelihood detection algorithm that uses the proposed synchronization signals is provided. The successive maximum likelihood detection algorithm uses reliably estimated frequency offset in a successive way to refine the estimated timing offset. The performance of our approach is evaluated and compared to other existing algorithms.","PeriodicalId":261917,"journal":{"name":"2007 IEEE 66th Vehicular Technology Conference","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Successive Maximum Likelihood Estimation for Time and Frequency Synchronization\",\"authors\":\"Yingming Tsai, Guodong Zhang, Xiaodong Wang\",\"doi\":\"10.1109/VETECF.2007.295\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new repetitive synchronization signal structure is proposed for wireless communication systems. A corresponding successive maximum likelihood detection algorithm that uses the proposed synchronization signals is provided. The successive maximum likelihood detection algorithm uses reliably estimated frequency offset in a successive way to refine the estimated timing offset. The performance of our approach is evaluated and compared to other existing algorithms.\",\"PeriodicalId\":261917,\"journal\":{\"name\":\"2007 IEEE 66th Vehicular Technology Conference\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE 66th Vehicular Technology Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VETECF.2007.295\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE 66th Vehicular Technology Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VETECF.2007.295","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Successive Maximum Likelihood Estimation for Time and Frequency Synchronization
A new repetitive synchronization signal structure is proposed for wireless communication systems. A corresponding successive maximum likelihood detection algorithm that uses the proposed synchronization signals is provided. The successive maximum likelihood detection algorithm uses reliably estimated frequency offset in a successive way to refine the estimated timing offset. The performance of our approach is evaluated and compared to other existing algorithms.