Decision-feedback interference suppression in CDMA systems: a ML-based semiblind approach

Authors:
Mónica F. Bugallo;Joaquín Míguez;Luis Castedo
Affiliations:
Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY;Departamento de Electrónica e Sistemas, Universidade da Coruña, Facultade de Informática, Campus de Elviña s/n, 15071 A Coruña, Spain;Departamento de Electrónica e Sistemas, Universidade da Coruña, Facultade de Informática, Campus de Elviña s/n, 15071 A Coruña, Spain
Venue:
Signal Processing - Special section: Security of data hiding technologies
Year:
2003

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Abstract

This paper addresses the problem of interference suppression in direct sequence code division multiple access systems. We propose a novel semiblind decision feedback (DF) receiver based on the maximum likelihood principle that simultaneously exploits the transmission of training sequences and the statistical information of the unknown transmitted symbols. Both iterative and adaptive implementations of the proposed receiver, derived within the framework of the expectation maximization algorithm, are presented. Computer simulations show that the resulting multiuser detectors attain practically the same performance as the theoretical DF minimum mean square error receiver.