Title :
Soft-input soft-output decorrelating detectors for coded multiuser systems
Author :
Zhang, Wei ; Amours, Claude D. ; Yongaçoglu, Abbas
Author_Institution :
Sch. of Inf. Technol. & Eng., Univ. of Ottawa, Ont., Canada
Abstract :
In this correspondence, we propose a soft-input soft-output (SISO) decorrelating detector for iterative receivers of coded multiuser systems. Based on the soft inputs from a bank of single-user decoders, the cross-correlation matrix of multiple users is updated and employed in each iteration. Due to negligible residual interference and reduced noise enhancement in successive iterations, the resulting system performance quickly approaches to that of the single-user system. Furthermore, the detector is shown to have good near-far resistance. The computational complexity of the SISO decorrelator is proportional to the number of users cubed. Monte Carlo simulation results are provided and compared.
Keywords :
Monte Carlo methods; computational complexity; interference suppression; iterative methods; multiuser detection; radio receivers; Monte Carlo simulation; coded multiuser system; computational complexity; crosscorrelation matrix; iteration method; iterative receiver; near-far resistance; residual interference; single-user system; soft-input soft-output decorrelating detector; Computational complexity; Convolutional codes; Decorrelation; Detectors; Gaussian noise; Interference cancellation; Iterative decoding; Multiple access interference; Noise reduction; System performance; Coded multiuser systems; SISO multiuser detectors; iterative receivers; soft-input soft-output (SISO) decorrelators;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2005.850385