Title :
A Modified Blind MMSE Multi-user Detection Algorithm Based on Subspace Tracking
Author :
Jia, Liqin ; Peng, Chenzhang
Author_Institution :
Henan Polytech. Univ., Jiaozuo
Abstract :
A modified blind MMSE multi-user detection (MUD) algorithm based on subspace tracking is presented. The modified MMSE just employs signal subspace and avoids performance deterioration induced by eigenvalue estimation error. The proposed method exploits the orthogonal projection approximation subspace tracking (OPAST) algorithm for subspace estimation, since it guarantees the orthogonality of the weight matrix spanned by the signal subspace in every iteration, which must be meet in the modified detector. The numerical simulation results show the substantial performance improvement of our suggested approach over OPAST MUD and PASTd MUD.
Keywords :
eigenvalues and eigenfunctions; error analysis; least mean squares methods; matrix algebra; multiuser detection; tracking; blind MMSE multiuser detection algorithm; eigenvalue error estimation; numerical simulation; orthogonal projection approximation subspacc tracking algorithm; performance deterioration; weight matrix; Bit error rate; Computer science; Convergence; Covariance matrix; Detectors; Eigenvalues and eigenfunctions; Estimation error; Interference; Multiuser detection; Signal detection; MMSE; blind; multiuser detection; subspace tracking;
Conference_Titel :
Integration Technology, 2007. ICIT '07. IEEE International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
1-4244-1092-4
Electronic_ISBN :
1-4244-1092-4
DOI :
10.1109/ICITECHNOLOGY.2007.4290433
