Báo cáo hóa học: " Research Article A Unified Approach to List-Based Multiuser Detection in Overloaded Receivers"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article A Unified Approach to List-Based Multiuser Detection in Overloaded Receivers | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2008 Article ID 817272 14 pages doi 2008 817272 Research Article A Unified Approach to List-Based Multiuser Detection in Overloaded Receivers Michael Krause Desmond P. Taylor and Philippa A. Martin Department of Electrical and Computer Engineering University of Canterbury Private Bag 4800 Christchurch New Zealand Correspondence should be addressed to Michael Krause Received 31 August 2007 Revised 13 December 2007 Accepted 25 February 2008 Recommended by Huaiyu Dai A wireless communication system is overloaded when the number of transmitted signals exceeds the number of receive antennas. The presence of the resulting cochannel interference CCI under overload causes linear detection techniques to perform poorly. We develop a unified approach to the separation and detection of the user signals for an overloaded system using a novel iterative list-based multiuser detector. It combines a linear preprocessor with a nonlinear list detector and approximates optimum joint maximum-likelihood detection at lower complexity. Complexity savings are achieved by first exploiting the spatial separation of the users to mitigate CCI in the preprocessor stage and second by estimating residual CCI in the following list detection stage. The proposed list detection algorithm is applied to receivers with either a uniform circular array or a uniform linear array. The preprocessor is implemented using either a special purpose spatial filter to mitigate the CCI or maximum ratio diversity combining to achieve diversity gain. Simulation results and a complexity analysis indicate that the approach is suitable for practical application. Copyright 2008 Michael Krause et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original

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