Minimum probability of error for asynchronous Gaussian multiple-access channels
IEEE Transactions on Information Theory
VLSI array processors
Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Multiuser Detection
VLSI Implementation of the Multistage Detector for Next Generation Wideband CDMA Receivers
Journal of VLSI Signal Processing Systems
A Low Complexity and Low Power SoC Design Architecture for Adaptive MAI Suppression in CDMA Systems
Journal of VLSI Signal Processing Systems
Journal of VLSI Signal Processing Systems
WCDMA uplink parallel interference cancellation: system simulations and prototype field trials
EURASIP Journal on Applied Signal Processing
An overview of CDMA evolution toward wideband CDMA
IEEE Communications Surveys & Tutorials
Interference cancellation for cellular systems: a contemporary overview
IEEE Wireless Communications
IEEE Transactions on Wireless Communications
Multi-user detection for DS-CDMA communications
IEEE Communications Magazine
A DSP-based DS-CDMA multiuser receiver employing partial parallel interference cancellation
IEEE Journal on Selected Areas in Communications
Adaptive multistage parallel interference cancellation for CDMA
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
VLSI Implementation of an Adaptive Multiuser Detector for Multirate WCDMA Systems
Journal of Signal Processing Systems
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A low complexity multiuser detection (MUD) technique, the Adaptive Duplicated Filters and Interference Canceller (ADIC) (patent pending), is proposed in the DS-CDMA context. Of particular interest is the use of adaptive filters block (AFB) dedicated to each user with its respective input signals independent from other users' contributions. The AFBs are mixed with interference canceller block in a cascade arrangement. As shown in this paper, this MUD can outperform the Decision Feedback Soft MultiStage Interference Canceller (DF-Soft-MPIC) MUD with complexity reduction by a factor of 4 to 8 for the data payload throughput from 64 kbps to 384 kbps, respectively. In addition to performance and algorithmic description of the proposed MUD method, a VLSI implementation strategy and hardware resources evaluation are investigated; permitting to estimate the maximum number of users in FPGA devices with respect to WCDMA constraints. The present work proposes a low complexity MUD wherein an interesting trade-off between performance and implementation complexity is described.