{"title":"MMSE delay estimation in CDMA system","authors":"J. Joutsensalo, T. Ristaniemi","doi":"10.1109/VETECF.1999.798427","DOIUrl":null,"url":null,"abstract":"In this paper, we propose an MMSE sense optimal approach for single user code acquisition in the CDMA communication system. It is assumed that the training sequence is sent to the desired user. The method is based on quite similar optimization criterion as that of interference suppressing MMSE demodulators. Using the training signal, the performance can be greatly improved without increasing computational complexity. Simulations show that the method outperforms, e.g. CMOE method, maximum likelihood method, eigenvector-based MUSIC, and matched filter.","PeriodicalId":355729,"journal":{"name":"Gateway to 21st Century Communications Village. VTC 1999-Fall. IEEE VTS 50th Vehicular Technology Conference (Cat. No.99CH36324)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Gateway to 21st Century Communications Village. VTC 1999-Fall. IEEE VTS 50th Vehicular Technology Conference (Cat. No.99CH36324)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VETECF.1999.798427","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
In this paper, we propose an MMSE sense optimal approach for single user code acquisition in the CDMA communication system. It is assumed that the training sequence is sent to the desired user. The method is based on quite similar optimization criterion as that of interference suppressing MMSE demodulators. Using the training signal, the performance can be greatly improved without increasing computational complexity. Simulations show that the method outperforms, e.g. CMOE method, maximum likelihood method, eigenvector-based MUSIC, and matched filter.