Adaptive algorithms for group interference suppression for differential spatial multiplexing

TitleAdaptive algorithms for group interference suppression for differential spatial multiplexing
Publication TypeConference Paper
Year of Publication2004
AuthorsCheung, S. K., and R. Schober
Conference NameVehicular Technology Conference, 2004. VTC2004-Fall. 2004 IEEE 60th
Pagination2153 - 2157 Vol. 3
Date Publishedsep.
Keywordsadaptive algorithms, carrier phase variations, coherent space-time schemes, computational complexity, correlation matrices, decision-feedback differential detection, differential detection, differential space-time architecture, differential spatial multiplexing, diversity gains, diversity reception, eigendecomposition, filtering theory, group interference suppression filters, interference suppression, linear decoding complexity, matrix decomposition, MIMO systems, optimisation, receiver, space division multiplexing, wireless communications

Recently, we have proposed a novel differential space-time (DST) architecture (Cheung, S.K. and Schober, R., IEEE Wireless Commun. and Networking Conf., WCNC, 2004) which is much more robust against carrier phase variations than corresponding coherent ST schemes (Tarokh, V. and Lo, T.K.Y., 1998; Tarokh et al., 1999; Su, H.-J. and Geraniotis, E., 2002). To achieve a linear decoding complexity, we employ group interference suppression (GIS) and subsequent decision-feedback differential detection (DF-DD) at the receiver. The optimization of the GIS filters requires a generalized eigendecomposition of two correlation matrices. In order to reduce the computational complexity, we devise three efficient adaptive algorithms for generalized eigendecomposition. These algorithms are shown to have excellent convergence properties, and preserve the robustness of the proposed DST scheme against carrier phase variations.


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