基于先验ICA的DS-CDMA盲多用户检测

M. Gupta, Balu Santhanam
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引用次数: 9

摘要

基于ICA的盲信源分离方法存在固有的尺度和排列歧义,这在DS-CDMA多用户检测和MAI缓解场景中会造成问题。最近,人们提出了包含期望用户代码先验信息的ICA方法,作为子空间MMSE检测器的附加。在本文中,我们提出了一种基于Q-R分解的技术来初始化ICA算法,以消除排列模糊性并避免显式的子空间计算。仿真结果表明,该方法在高度相关的不相等能量用户情况下具有较强的鲁棒性。
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Prior ICA based blind multiuser detection in DS-CDMA systems
ICA based blind source separation methods suffer from inherent scaling and permutation ambiguities , which would cause problems in a DS-CDMA multiuser detection and MAI mitigation scenario. Recently ICA methods incorporating prior information about the desired user's code were proposed as an add-on to the subspace MMSE detector. In this paper, we propose a Q-R decomposition based technique to initialize the ICA algorithm in order to remove the permutation ambiguity as well as to avoid the explicit subspace computations. It is shown via simulations that the proposed technique is more robust in the case of highly correlated unequal energy users.
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