The usage of adaptive principal components extraction based on WINC in blind multiuser detection

In this paper,a novel blind multiuser detection algorithm based on subspace tracking is proposed.First,we analyze a Adaptive Principal Components Extraction(APEX) algorithm based on Weighted Information Criterion(WINC),and then the AIC criterion is added to the algorithm in order to fit the case that the number of users is unknown.Finally,we use an orthogonal operation to fast the convergence speed.We then compare it with the OPAST algorithm,the result shows that when the number of users is big,the proposed algorithm performs much better than OPAST.