A novel adaptive V-BLAST algorithm based on subspace tracking and Hermitian matrix perturbation theo

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A novel vertical Bell laboratories layered space-time(V-BLAST)system with adaptive successive interference cancellation(SIC)detector based on subspace tracking(SST)and Hermitian matrix perturbation theorem is proposed in this paper,and the corresponding optimal symbol detection order operation is obtained.Moreover,asymptotic limit theorems for the detectors are established.The final simulation results verify that the symbol error probability(SEP)performance,the immunity to channel estimation errors and the algorithm convergence rate are superior to that of the conventional V-BLAST detection algorithm when channel estimation errors exist. A novel vertical Bell laboratories layered space-time (V-BLAST) system with adaptive successive interference cancellation (SIC) detector based on subspace tracking (SST) and Hermitian matrix perturbation theorem is proposed in this paper, and the corresponding optimal symbol detection order operation is obtained. More than asymptotic limit theorems for the detectors are established. The final simulation results verify that the symbol error probability (SEP) performance, the immunity to channel estimation errors and the algorithm convergence rate are superior to that of the conventional V-BLAST detection algorithm when channel estimation errors exist.
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