Please use this identifier to cite or link to this item:
|Title:||Multiuser receiver for DS-CDMA signals in multipath channels: An enhanced multisurface method||Authors:||Mahendra, C.
|Keywords:||Direct-sequence code-division multiple access (DS-CDMA)
Multiuser detection (MUD)
Steepest descent algorithm
Support vector machines (SVMs)
|Issue Date:||Nov-2006||Citation:||Mahendra, C., Puthusserypady, S. (2006-11). Multiuser receiver for DS-CDMA signals in multipath channels: An enhanced multisurface method. IEEE Transactions on Neural Networks 17 (6) : 1592-1605. ScholarBank@NUS Repository. https://doi.org/10.1109/TNN.2006.881048||Abstract:||This paper deals with the problem of multiuser detection in direct-sequence code-division multiple-access (DS-CDMA) systems in multipath environments. The existing multiuser detectors can be divided into two categories: 1) low-complexity poor-performance linear detectors and 2) high-complexity good-performance nonlinear detectors. In particular, in channels where the orthogonality of the code sequences is destroyed by multipath, detectors with linear complexity perform much worse than the nonlinear detectors. In this paper, we propose an enhanced multisurface method (EMSM) for multiuser detection in multipath channels. EMSM is an intermediate piecewise linear detection scheme with a run-time complexity linear in the number of users. Its bit error rate performance is compared with existing linear detectors, a nonlinear radial basis function detector trained by the new support vector learning algorithm, and Verdu's optimal detector. Simulations in multipath channels, for both synchronous and asynchronous cases, indicate that it always outperforms all other linear detectors, performing nearly as well as nonlinear detectors. © 2006 IEEE.||Source Title:||IEEE Transactions on Neural Networks||URI:||http://scholarbank.nus.edu.sg/handle/10635/56739||ISSN:||10459227||DOI:||10.1109/TNN.2006.881048|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Aug 4, 2020
WEB OF SCIENCETM
checked on Aug 4, 2020
checked on Aug 3, 2020
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.