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IEEE Transactions on Signal Processing
Article . 2003 . Peer-reviewed
License: IEEE Copyright
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Code-aided blind adaptive new user detection in DS/CDMA systems with fading time-dispersive channels

Authors: DE MAIO, ANTONIO; S. Buzzi; M. Lops;

Code-aided blind adaptive new user detection in DS/CDMA systems with fading time-dispersive channels

Abstract

We consider the problem of detecting the entrance of a new-user in a direct-sequence code division multiple access (DS/CDMA) system operating over a fading dispersive channel. This problem has received considerable attention in the recent past in that it arises in a number of different contexts, such as decentralized user acquisition and data detection, handoff algorithms, soft handover procedures, and cell-search in wideband-CDMA systems. The detection algorithms that we propose in this paper are based on the application of the generalized-likelihood-ratio-test (GLRT) and can be implemented based on the knowledge of the spreading code of the user to be detected. In particular, the proposed procedures do not require any prior knowledge of either the propagation channel impulse response or the timing offset of the user to be detected. We consider both the cases of user detection in the reverse link of a cellular system, wherein it is assumed that the subspace spanned by the signals of the existing previous users is known to the receiver and that of user detection in the forward link, wherein the mobile receiver has no prior knowledge on the multiaccess interference. With regard to the latter situation, we develop a detection algorithm that ensures a constant false-alarm rate with respect to the second-order statistics of the overall disturbance. The performance of the proposed detection structures is finally assessed through closed-form formulas and through some sample plots, showing, for a given probability of false alarm, the probability that the new user is detected.

Country
Italy
Keywords

Generalized likelihood ratio test, Direct sequence systems, Algorithms, Cellular radio systems, Communication channels (information theory), Direct sequence systems, Fading (radio), Interference suppression, Probability, Radio links, Signal filtering and prediction; Code-aided blind adaptive new user detection, Constant false alarm rate, Direct sequence code division multiple access systems, Fading time-dispersive channels, Generalized likelihood ratio test; Code division multiple access, Fading (radio), Code division multiple access, Code-aided blind adaptive new user detection, Fading time-dispersive channels, Communication channels (information theory), Cellular radio systems, Interference suppression, Signal filtering and prediction, Constant false alarm rate, Algorithms, Probability, Radio links, Direct sequence code division multiple access systems

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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!
10
Average
Top 10%
Average
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