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Linear Multiuser Detection in Code Division Multiple Access CDMA - Systems for Wireless Communication

Authors: Muhammad Zahid Khan; null Haroon-Ur-Rashid;

Linear Multiuser Detection in Code Division Multiple Access CDMA - Systems for Wireless Communication

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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