{"title":"An algorithm for joint direction of arrival, time-delay and frequency-shift estimation in asynchronous DS-CDMA systems","authors":"M. Eric, S. Parkvall, M. Dukic, M. Obradovic","doi":"10.1109/ISSSTA.1998.723854","DOIUrl":null,"url":null,"abstract":"A subspace based MUSIC type algorithm for joint direction of arrival (DOA), time-delay and frequency-shift estimation in asynchronous DS CDMA systems, which is based on spatio-temporal processing of signals received by an antenna array of generally non-uniform volume geometry is proposed. The proposed algorithm is near-far resistant, requires no preamble, and can be applied when orthogonality conditions is not perfectly satisfied. The algorithm can be used for both single user and multi-user estimation.","PeriodicalId":116377,"journal":{"name":"1988 IEEE 5th International Symposium on Spread Spectrum Techniques and Applications - Proceedings. Spread Technology to Africa (Cat. No.98TH8333)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1988 IEEE 5th International Symposium on Spread Spectrum Techniques and Applications - Proceedings. Spread Technology to Africa (Cat. No.98TH8333)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSSTA.1998.723854","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
A subspace based MUSIC type algorithm for joint direction of arrival (DOA), time-delay and frequency-shift estimation in asynchronous DS CDMA systems, which is based on spatio-temporal processing of signals received by an antenna array of generally non-uniform volume geometry is proposed. The proposed algorithm is near-far resistant, requires no preamble, and can be applied when orthogonality conditions is not perfectly satisfied. The algorithm can be used for both single user and multi-user estimation.