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Low-complexity multiuser detection and reduced-rank Wiener filters for ultra-wideband multiple access Zhi Tian; Hongya Ge; Scharf, L.L. Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP apos;05). IEEE International Conference on Volume 3, Issue , 18-23 March 2005 Page(s): iii/621 - iii/624 Vol. 3 Digital Object Identifier 10.1109/ICASSP.2005.1415786 Summary: Realizing the large user capacity planned for ultra-wideband (UWB) systems motivates multiuser detection (MUD). However, it is impractical to implement conventional chip-rate MUD methods, because UWB signaling gives rise to high detection complexity and difficulty in capturing energy scattered by dense multipath. In this paper, we develop a reception model for UWB multiple access based on frame-rate sampled signals in lieu of chip-rate samples. This model enables low-complexity MUD, of which we examine a reduced-rank Wiener filter for blind symbol detection. We show that frame-rate UWB samples have a small number of distinct eigenvalues in the data covariance matrix, resulting in warp convergence of reduced-rank filtering. The proposed MUD method exhibits good performance at low complexity, even in the presence of strong frequency-selective multipath fading. » View citation and abstract



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