Subspace tracking based blind multiuser detection: a maximum likelihood estimation approach

A blind maximum likelihood multiuser detection scheme for DS-CDMA systems is proposed, based on signal subspace tracking. Different from conventional blind detection methods, we investigate the detection problem from the perspective of user´s parameter estimation. The proposed scheme uses efficient subspace tracking algorithms and yields better performance and lower computational complexity in contrast to some of the existing detection approaches. A simulation example is given to compare the proposed method and some of the methods in literature