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Antenna Diversity for a Narrow-band successive-Cancellation Multiuser Detector
Telecommunication and Traffic-Control Systems Group, Department of Information Technology and Systems, Delft University of Technology, 2600 GA Delft, The Netherlands.
KTH, Superseded Departments, Signals, Sensors and Systems. ( iD: 0000-0001-9697-9978
2004 (English)In: IEEE Transactions on Vehicular Technology, ISSN 0018-9545, E-ISSN 1939-9359, Vol. 53, no 5, 1303-1315 p.Article in journal (Refereed) Published
Abstract [en]

The performance of a successive-cancellation multiuser detector (SC-MUD) for narrow-band signals operating in the Rayleigh-fading channel is shown to deteriorate severely unless very large power margins at the receiver are maintained. To mitigate this deterioration, antenna diversity is applied and adapted to the SC-MUD. In each detection stage, the best signal for detection and the corresponding combining weights are determined jointly. Two criteria for selecting the best signal based on maximizing the signal-to-noise-plus-interference ratio and maximizing the minimum distance-to-noise ratio, respectively, are proposed and evaluated. For signal combining, zero forcing and minimum mean square error (mmse) combining are considered. The obtained results show that the SC-MUD with mmse combining performs close to maximum likelihood joint detection while keeping a much lower computational complexity when the number of users is less than the number of receive antennas. The effect of channel-estimation errors is investigated for orthogonal training sequences and shown to result in a minor degradation compared to perfect estimation.

Place, publisher, year, edition, pages
New York: IEEE , 2004. Vol. 53, no 5, 1303-1315 p.
Keyword [en]
antenna diversity, channel estimation, narrow-band multiuser detection (MUD), successive cancellation, symbol error probability (SEP)
National Category
Computer and Information Science
Research subject
URN: urn:nbn:se:kth:diva-29794DOI: 10.1109/TVT.2004.832372ISI: 000224037600002ScopusID: 2-s2.0-4744365759OAI: diva2:398055
QC 20110218Available from: 2011-02-16 Created: 2011-02-16 Last updated: 2011-12-01Bibliographically approved

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