A Modified Blind MMSE Multi-user Detection Algorithm Based on Subspace Tracking
Shenzhen（2007）
摘要
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.
更多查看译文
关键词
weight matrix,eigenvalue error estimation,mmse,error analysis,matrix algebra,blind mmse multiuser detection algorithm,performance deterioration,least mean squares methods,tracking,numerical simulation,multiuser detection,eigenvalues and eigenfunctions,blind,subspace tracking,orthogonal projection approximation subspacc tracking algorithm,interference,signal detection,bit error rate,detectors,orthogonal projection,computer science,covariance matrix,convergence
AI 理解论文
溯源树
样例
生成溯源树，研究论文发展脉络
Chat Paper
正在生成论文摘要