{"title":"Improved joint correlated detection in cell search and synchronization procedure in 3GPP LTE downlink system","authors":"D. Lin, Jung-Cheng Hsieh, Hsin-Piao Lin","doi":"10.1109/ICASID.2012.6325340","DOIUrl":null,"url":null,"abstract":"In cellular systems, user equipment (UE) must perform the cell search procedure in order to acquire symbol timing, frame timing, CFO, sector ID and group ID. In this paper, we introduce an improved frequency offset detection algorithm in Long Term Evolution (LTE) downlink systems. The detection algorithm including two steps, which are ML estimation and correlation detection. The ML estimation in order to obtains the symbol timing and fractional carrier frequency offset (CFO). We investigated two kinds of joint detection method and compared their performances. We also can acquire the sector identification (ID) and integer CFO from joint detection in the frequency domain. Simulation results demonstrate that the proposed method has better performance than conventional method. So, the proposed method is robust compared with literature method, and can effectively achieve the integer CFO and sector identification (ID).","PeriodicalId":408223,"journal":{"name":"Anti-counterfeiting, Security, and Identification","volume":"475 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anti-counterfeiting, Security, and Identification","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASID.2012.6325340","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
In cellular systems, user equipment (UE) must perform the cell search procedure in order to acquire symbol timing, frame timing, CFO, sector ID and group ID. In this paper, we introduce an improved frequency offset detection algorithm in Long Term Evolution (LTE) downlink systems. The detection algorithm including two steps, which are ML estimation and correlation detection. The ML estimation in order to obtains the symbol timing and fractional carrier frequency offset (CFO). We investigated two kinds of joint detection method and compared their performances. We also can acquire the sector identification (ID) and integer CFO from joint detection in the frequency domain. Simulation results demonstrate that the proposed method has better performance than conventional method. So, the proposed method is robust compared with literature method, and can effectively achieve the integer CFO and sector identification (ID).