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A Modified Blind MMSE Multi-user Detection Algorithm Based on Subspace Tracking

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2 Author(s)
Liqin Jia ; School of computer science & technology, Henan Polytechnic University, Jiaozuo, Henan Province, China. ; Chengzhang Peng

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.

Published in:

Integration Technology, 2007. ICIT '07. IEEE International Conference on

Date of Conference:

20-24 March 2007