A robust spatio-temporal processing for multipath environments with an antenna array
Yoshio Konno, Jianting Cao, Mamoru Tanaka · 2005
Abstract:- In this paper, a novel algorithm of spatial and temporal equalization for multiuser detection with an antenna array is demonstrated. Our proposed approach enables us to reduce a high-level noise from noisy array signals 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. Key-Words:- Spatial and temporal equalization, blind equalization, multiuser detection, principal-factor method, scale-free algorithm, on-line adaptive algorithms, independent component analysis