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IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004

DOI: 10.1109/vetecf.2004.1404757

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Semi-hard interference cancellation for uncoded DS-CDMAm systems

Proceedings article published in 2005 by C. Kasparis, R. J. Piechocki ORCID, A. R. Nix, P. N. Fletcher
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

A new iterative technique for suppressing multiuser interference in uncoded DS-CDMA systems is proposed. In the new approach semi-hard decisions are taken at the output of the linear MMSE detector. This involves taking hard decisions only for symbols which satisfy a reliability criterion, while the rest are left unaltered in their soft form. The semi-hard estimate is subsequently used for parallel interference cancellation, which is then followed by additional linear MMSE filtering. This procedure is repeated a small number of times. Simulation results show that the proposed detector is capable of approaching closely the single-user performance in a fully loaded multiuser scenario and this is achieved within 5 to 10 iterations. In the same system scenario the new technique outperforms the probabilistic data association (PDA) algorithm, which is considered as a state-of-the art solution. ; A new iterative technique for suppressing multiuser interference in uncoded DS-CDMA systems is proposed. In the new approach semi-hard decisions are taken at the output of the linear MMSE detector. This involves taking hard decisions only for symbols which satisfy a reliability criterion, while the rest are left unaltered in their soft form. The semi-hard estimate is subsequently used for parallel interference cancellation, which is then followed by additional linear MMSE filtering. This procedure is repeated a small number of times. Simulation results show that the proposed detector is capable of approaching closely the single-user performance in a fully loaded multiuser scenario and this is achieved within 5 to 10 iterations. In the same system scenario the new technique outperforms the probabilistic data association (PDA) algorithm, which is considered as a state-of-the art solution. The computational complexity of the proposed detector is of the same order as of a standard linear detector.