NDLI: Indirectly estimated adaptive detectors for code-division multiple-access signals

Content Provider	IEEE Xplore Digital Library
Author	Karayiannis, N.B. Chookiarti, J.
Copyright Year	1991
Abstract	This paper presents the development of indirectly estimated adaptive (IDEA) detectors for code-division multiple-access (CDMA) signals in wireless communication systems. Multiuser CDMA detection is formulated as an inverse problem in the presence of noise, and the estimation of the detector parameters is accomplished using elements of regularization theory. The development of autonomous CDMA detectors that are capable of adjusting to the channel characteristics with the support of training sequences relies on data-dependent procedures designed to reduce the effect of noise and interfering users on the performance of the detector. The detector parameters can be computed by adaptive algorithms that require no matrix inversion. The proposed IDEA detector is evaluated and compared with existing multiuser CDMA detectors in terms of their robustness to noise, resistance to the near-far problem, and ability to handle multipath signals.
Sponsorship	IEEE Signal Processing Society
Starting Page	2677
Ending Page	2689
Page Count	13
File Size	636969
File Format	PDF
ISSN	1053587X
Volume Number	52
Issue Number	10
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-10-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptive signal detection Detectors Multiaccess communication Wireless communication Adaptive algorithm Recursive estimation Multiuser detection Signal detection Multiple access interference Convergence
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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