Minimum probability of error for asynchronous Gaussian multiple-access channels
IEEE Transactions on Information Theory
Reduced-rank adaptive filtering
IEEE Transactions on Signal Processing
Space-time adaptive reduced-rank multistage Wiener filtering for asynchronous DS-CDMA
IEEE Transactions on Signal Processing
Blind multiuser detection: a subspace approach
IEEE Transactions on Information Theory
A multistage representation of the Wiener filter based on orthogonal projections
IEEE Transactions on Information Theory
On the equivalence of three reduced rank linear estimators with applications to DS-CDMA
IEEE Transactions on Information Theory
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This paper presents a method for asynchronous code-division multiple-access (CDMA) multiuser detection that has low computational complexity and that provides fast convergence. The proposed method efficiently finds an interference subspace from data samples and projects received signals onto its orthogonal complement to suppress multiple access interferences. Its performance has been analytically investigated in terms of the signal-to-interference-plus-noise ratio (SINR). The steady-state SINR is substantially the same as the optimum when the interferences are strong compared with noise. As to the transient response, the orthogonal-projection-based method converges quickly outperforming other methods such as the stochastic-gradient (SG) multistage Wiener filter (MSWF) and the affine projection method, which have similar computational complexity. Simulation results validate its effectiveness.