Wireless Personal Communications: An International Journal
A Low Complexity and Low Power SoC Design Architecture for Adaptive MAI Suppression in CDMA Systems
Journal of VLSI Signal Processing Systems
EURASIP Journal on Applied Signal Processing
Design and performance analysis of an adaptive receiver for multicarrier DS-CDMA
EURASIP Journal on Wireless Communications and Networking
Adaptive Duplicated Filters and Interference Canceller for DS-CDMA Systems
Journal of Signal Processing Systems
A class of errorless codes for overloaded synchronous wireless and optical CDMA systems
IEEE Transactions on Information Theory
VLSI Implementation of an Adaptive Multiuser Detector for Multirate WCDMA Systems
Journal of Signal Processing Systems
Statistical-mechanical approach for multiple watermarks using spectrum spreading
ICITS'09 Proceedings of the 4th international conference on Information theoretic security
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Although the multistage interference cancellation detector is simple in structure, its performance degrades when the number of active users becomes large. In some cases, the performance is even worse than that without cancellation, due to the lack of the exact knowledge of the interfering signal in cancellation. Partial interference cancellation suggested by Divsalar and Simon (see IEEE Trans. Commun., vol.46, p.258-68, 1998) tries to remedy this weakness by reducing the cost of a wrong interference estimation through a weight in each stage. This paper presents an adaptive multistage structure based on the partial interference cancellation approach. In this structure, the weights are obtained by minimizing the mean-square error between the received signal and its estimate through a least mean square (LMS) algorithm. The resulting weights contain reliability information for the hard decisions made in the previous stage. Neither a training sequence nor a pilot signal is needed in the proposed scheme, and its complexity is much lower than that of linear multiuser detectors. Simulation results show that the proposed scheme can outperform some of the existing interference cancellation methods in both the additive white Gaussian noise (AWGN) and the multipath fading channels