NDLI: Linear Multiuser Detection in Code Division Multiple Access CDMA

Content Provider	IEEE Xplore Digital Library
Author	Khan, M.Z. Haroon-Ur-Rashid
Copyright Year	2005
Description	Author affiliation: Pakistan Inst. of Eng. & Appl. Sci., Islamabad (Khan, M.Z.; Haroon-Ur-Rashid)
Abstract	Multiuser detection is central to the fulfillment of the capabilities of code-division multiple access (CDMA), which is becoming the ubiquitous air-interface in future generation communication systems. In DS-CDMA communications, all user signals overlap in time and frequency and cause mutual interference. The conventional DS-CDMA detector follows a single-detection strategy in which each user is detected separately without regard for the other users. A better strategy is multi-user detection, where information about multiple users is to improve detection of each individual user. Multi-user detection (MUD) is the intelligent estimation/demodulation of transmitted bits in presence of multiple access interference (MAI). Unlike additive white Gaussian noise (AWGN), MAI has a nice correlative structure that is quantified by the correlation matrix of the signature sequences. This paper describes and analyses linear multi-user DS-CDMA detectors. The most popular detectors include the decorrelating detector and MMSE detector.
Starting Page	1
Ending Page	6
File Size	3259302
Page Count	6
File Format	PDF
ISBN	9780780394414
DOI	10.1109/SCONEST.2005.4382889
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-08-27
Publisher Place	Pakistan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multiuser detection AWGN Multiaccess communication Direct-sequence code division multiple access (DS-CDMA) Multi-user detection (MUD) Wireless communication Additive White Gaussian Noise (AWGN) Detectors Multiple access interference Additive white noise Frequency Decorrelation wireless technology Demodulation
Content Type	Text
Resource Type	Article

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