{"title":"Orthogonally-anchored adaptive CDMA interference rejection in space-time rake processing","authors":"J. Nossek, Pingan Li","doi":"10.1109/SPAWC.1999.783057","DOIUrl":null,"url":null,"abstract":"The paper presents an orthogonally-anchored adaptive linear interference rejection technique in space-time rake processing. With the use of a super short training sequence, the initial space-time adaptive filtering vector composed of two mutually orthogonal components is calculated by using a projection-based filter optimization technique. The adaptive filter optimization based on the pre-optimized initial weight vector is implemented to efficiently suppress the multiuser access interference in the filtering procedure. In contrast to the blind space-time rake processing, the computation efficiency exhibited in the suggested approach is achieved by implementing the linear optimization for the filtering vector in reduced-dimensional (or full-dimensional) space-time complex vector spaces instead of using eigenvector-based processing, in which the optimization of the filtering vector in full-dimensional data vector space is required.","PeriodicalId":365086,"journal":{"name":"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)","volume":"102-B 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPAWC.1999.783057","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The paper presents an orthogonally-anchored adaptive linear interference rejection technique in space-time rake processing. With the use of a super short training sequence, the initial space-time adaptive filtering vector composed of two mutually orthogonal components is calculated by using a projection-based filter optimization technique. The adaptive filter optimization based on the pre-optimized initial weight vector is implemented to efficiently suppress the multiuser access interference in the filtering procedure. In contrast to the blind space-time rake processing, the computation efficiency exhibited in the suggested approach is achieved by implementing the linear optimization for the filtering vector in reduced-dimensional (or full-dimensional) space-time complex vector spaces instead of using eigenvector-based processing, in which the optimization of the filtering vector in full-dimensional data vector space is required.