{"title":"Blind Estimation of the Symbol Period of a Long-Code DS-SS Signal","authors":"Haiyuan Xu, Zhitao Huang, Yiyu Zhou","doi":"10.1109/ICMMT.2007.381485","DOIUrl":null,"url":null,"abstract":"Direct-Sequence Spread Spectrum (DS-SS) signals are widely used in modern communications. The detection and parameter estimation of DS-SS signals in non- cooperative context have been paid many attentions. Up to now, most of the proposed methods consider only short-code DS-SS signals, and long-code DS-SS signals have hardly any been studied. In this paper, a method for blind estimation of the symbol period of a long-code DS-SS signal is proposed. The proposed method is based on further processing of the autocorrelation estimator. Simulation results are provided to illustrate the approach.","PeriodicalId":409971,"journal":{"name":"2007 International Conference on Microwave and Millimeter Wave Technology","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Microwave and Millimeter Wave Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMMT.2007.381485","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Direct-Sequence Spread Spectrum (DS-SS) signals are widely used in modern communications. The detection and parameter estimation of DS-SS signals in non- cooperative context have been paid many attentions. Up to now, most of the proposed methods consider only short-code DS-SS signals, and long-code DS-SS signals have hardly any been studied. In this paper, a method for blind estimation of the symbol period of a long-code DS-SS signal is proposed. The proposed method is based on further processing of the autocorrelation estimator. Simulation results are provided to illustrate the approach.