A robust spatio-temporal processing for multipath environments with an antenna array
A robust spatio-temporal processing for multipath environments with an antenna array
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发表时间：
2005-08
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通讯作者：
Y. Konno;Jianting Cao;Mamoru Tanaka
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作者：
Y. Konno;Jianting Cao;Mamoru Tanaka
本文提出了一种新的空时均衡多用户检测算法。我们提出的方法使我们能够减少高电平噪声从嘈杂的arraysignals与无关的信号测量。我们强大的方法包括三个程序。在第一个过程中，一个强大的子空间技术被用来减少高功率的加性噪声和通道之间的相关性。在这个过程中，我们提出了一个无标度的方法减少同信道干扰。此外，交叉验证技术被应用于估计信号的数量。在第二个过程中，独立分量分析（伊卡）被应用于分解独立分量。在第三个过程中，自适应多径识别。自适应算法是一种用于估计变化的多径以识别动态信道的实用技术。应用我们提出的方法的实验数据，我们证明了我们的方法的有效性。
In this paper, a novel algorithm of spatial and temporal equalization for multiuser detection with an antenna arrayis demonstrated. Our proposed approach enables us to reduce a high-level noise from noisy arraysignals with irrelevant signal measurements. Our robust approach includes three procedures. In the first procedure, a robust subspace technique is utilized to reduce a high-power of additive noise and a correlation among channels. In this procedure, we propose a scale-free method of cochannel interference reduction. Moreover, a cross-validation technique is applied to estimate the number of signals. In the second procedure, the independent component analysis (ICA) is applied to decompose independent components. In the third procedure, a self-adaptive multipath identification is presented. A self-adaptive algorithm is a practical technique for estimating the changing multipath in order to identify the dynamical channel. Applying our proposed approach to the experimental data, we demonstrate the effectiveness of our method.