{"title":"Spatial-temporal propagation parameter estimation in the asynchronous DS-CDMA systems over fading channel","authors":"R. Wu, T. Ristaniemi","doi":"10.1109/ISCIT.2004.1412472","DOIUrl":null,"url":null,"abstract":"This paper is concerned with code timing and direction-of-arrival (DOA) estimation, called two-dimensional code acquisition, in asynchronous direct sequence spread spectrum communication systems with the presence of Rayleigh fading effects. An antenna array is used in this paper. A method named independent component analysis frequency selection (ICA-FS) is used to perform interference suppression before parameter estimation. The operation for suppressing interference brings a decrease in undesired Gaussian effects. The ICA-FS requires a training sequence corresponding to the desired user to be known, and data signals corresponding to different users to be statistically independent.","PeriodicalId":237047,"journal":{"name":"IEEE International Symposium on Communications and Information Technology, 2004. ISCIT 2004.","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Symposium on Communications and Information Technology, 2004. ISCIT 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCIT.2004.1412472","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper is concerned with code timing and direction-of-arrival (DOA) estimation, called two-dimensional code acquisition, in asynchronous direct sequence spread spectrum communication systems with the presence of Rayleigh fading effects. An antenna array is used in this paper. A method named independent component analysis frequency selection (ICA-FS) is used to perform interference suppression before parameter estimation. The operation for suppressing interference brings a decrease in undesired Gaussian effects. The ICA-FS requires a training sequence corresponding to the desired user to be known, and data signals corresponding to different users to be statistically independent.