NDLI: Space-time adaptive detection in turbo-coded DS-CDMA wireless systems over Rayleigh fast-fading channels

Content Provider	IEEE Xplore Digital Library
Author	Hamouda, W. McLane, P.
Copyright Year	2003
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada (Hamouda, W.)
Abstract	This paper investigates the performance improvement due to channel coding in a direct sequence code division multiple-access (DS-CDMA) system that employs space-time adaptive minimum mean-square-error (MMSE) interference suppression. A synchronous DS-CDMA transmission is assumed, and we focused on the performance gain attain through error control coding when used with binary phase-shift keyed (BPSK) modulation. It is shown that the use of adaptive antenna array at the receiver side, assists in attenuating multiuser interference and at the same time speeds-up the convergence rate of the adaptive receiver. Both the least-mean square (LMS) and the recursive-least-square (RLS) adaptive receiver algorithms are considered. Also, a performance comparison between turbo codes and soft-decision convolutional codes (SD-CC) in the space-time system is provided. It is found that the use of antenna arrays at the receiver side helps to bring the adaptive receiver's performance close to its multiuser counterpart. Both analyses and simulations show that the turbo-coded system outperforms the convolutionally coded one with a coding gain of approximately 1.7 dB.
Starting Page	1930
Ending Page	1934
File Size	363292
Page Count	5
File Format	PDF
ISBN	0780377575
ISSN	10903038
DOI	10.1109/VETECS.2003.1207160
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-04-22
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Turbo codes Multiaccess communication Adaptive arrays Receiving antennas Antenna arrays Convolutional codes Channel coding Interference suppression Performance gain Error correction
Content Type	Text
Resource Type	Article

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