文献类型：期刊文献

英文题名：The algorithm for blind multi-user detector based on subspace tracking

作者：Jia, Meng[1]; Wu, Bing[1]

第一作者：贾蒙

机构：[1] Department of Electrical Engineering, Xinxiang University, Xin Xiang, China

第一机构：新乡学院机电工程学院

年份：2014

卷号：169

期号：4

起止页码：117-124

外文期刊名：Sensors and Transducers

收录：EI(收录号：20151100630471);Scopus(收录号：2-s2.0-84924407659)

语种：英文

外文关键词：Adaptive filtering - Algorithms - Eigenvalues and eigenfunctions - Interference suppression - Multiuser detection - Tracking (position)

摘要：Multi-user detection (MUD) is an efficient technique for interference suppression that reduces the Multiple access interference (MAI) and improves the performance and increases the capacity of the system. Nowadays most of the research to MUD focuses on the blind multi-user detector because it does not require training sequences and can save the spectrum resource. By applying an improved subspace tracking algorithm to a modified subspace-based linear MMSE multi-user detector, a blind multi-user detector is presented. For the improved subspace tracking algorithm can reduce considerably computational complexity while keeping satisfactory convergence speed and stability and the modified MMSE multi-user detector doesn’t require the estimation of eigenvalue matrix, there can be significant elevation in the detection performance. Simulation results demonstrate preliminarily the conclusions above. ? 2014 IFSA Publishing, S. L.