{"title":"OFDM信号盲定时同步干扰分析","authors":"H. Huh","doi":"10.1109/WTS.2013.6566260","DOIUrl":null,"url":null,"abstract":"For OFDM systems, link performance heavily depends on frequency-offset estimation. Since symbol timing must be done before other synchronization, perfect timing estimate is a prerequisite for the better frequency estimation. As to timing synchronization, minimum interference power (MIP) algorithm can be a good candidate for a non-data-aided timing recovery. In order to use MIP as a metric for timing synchronization, interference should be a function of timing errors and be easily separated from desired signals. In this paper, we propose a MIP algorithm for symbol timing where the extraction of interference components is implemented by oversampling the band-limited received signals and performing discrete Fourier transform (DFT) for the oversampled sequence.","PeriodicalId":441229,"journal":{"name":"2013 Wireless Telecommunications Symposium (WTS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Interference analysis of OFDM signals for blind timing synchronization\",\"authors\":\"H. Huh\",\"doi\":\"10.1109/WTS.2013.6566260\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For OFDM systems, link performance heavily depends on frequency-offset estimation. Since symbol timing must be done before other synchronization, perfect timing estimate is a prerequisite for the better frequency estimation. As to timing synchronization, minimum interference power (MIP) algorithm can be a good candidate for a non-data-aided timing recovery. In order to use MIP as a metric for timing synchronization, interference should be a function of timing errors and be easily separated from desired signals. In this paper, we propose a MIP algorithm for symbol timing where the extraction of interference components is implemented by oversampling the band-limited received signals and performing discrete Fourier transform (DFT) for the oversampled sequence.\",\"PeriodicalId\":441229,\"journal\":{\"name\":\"2013 Wireless Telecommunications Symposium (WTS)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Wireless Telecommunications Symposium (WTS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WTS.2013.6566260\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Wireless Telecommunications Symposium (WTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WTS.2013.6566260","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Interference analysis of OFDM signals for blind timing synchronization
For OFDM systems, link performance heavily depends on frequency-offset estimation. Since symbol timing must be done before other synchronization, perfect timing estimate is a prerequisite for the better frequency estimation. As to timing synchronization, minimum interference power (MIP) algorithm can be a good candidate for a non-data-aided timing recovery. In order to use MIP as a metric for timing synchronization, interference should be a function of timing errors and be easily separated from desired signals. In this paper, we propose a MIP algorithm for symbol timing where the extraction of interference components is implemented by oversampling the band-limited received signals and performing discrete Fourier transform (DFT) for the oversampled sequence.