Spatio-temporal equalization and multiuser detection for DS-CDMA systems: A semi-blind approach

被引：0

作者：

Pacheco, RA ^{[1
]}

Hatzinakos, D ^{[1
]}

机构：

[1] Univ Toronto, Edward S Rogers Sr Dept Elect & Comp Engn, Toronto, ON M5S 3G4, Canada

来源：

CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING 2001, VOLS I AND II, CONFERENCE PROCEEDINGS | 2001年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A novel strategy for semi-blind spatio-temporal equalization and multiuser detection for short-burst asynchronous DS-CDMA systems is proposed. The technique is based on first performing channel identification (through a semi-blind subspace-based algorithm) as an aid for semi-blind equalization (via the constant modulus algorithm (CMA)). This two step process allows us to improve upon the traditional training-based least squares (LS) estimator by adding the constant modulus and cyclostationary properties of communication signals. Simulation results comparing the performance of our algorithm with regularized LS estimators (both training-based and semi-blind) for different amounts of spatial-diversity, number of active users and burst lengths indicate a significant reduction in the required number of training symbols. Application of this work is in the reverse-link of third generation DS-CDMA systems.

引用

页码：1345 / 1350

页数：4

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