NDLI: Probabilistic neural networks for multi-user detection in code divisional multiple access communication channels

Content Provider	IEEE Xplore Digital Library
Author	Ibikunle, F. Zhong, Y.X.
Copyright Year	1998
Description	Author affiliation: Beijing Univ. of Posts & Telecommun., China (Ibikunle, F.)
Abstract	A probabilistic neural network is proposed and applied for implementation of a maximum likelihood detector and classifier. The network is trained using the algorithm based on Parzen probability density function estimation theory for detection of signals in CDMA multi-user communications Gaussian channel. By viewing these multi-user detector's problem as a nonlinear classification decision problem, we apply this algorithm which has the abilities of arbitrary nonlinear transformations, adaptive learning and tracking to implement this decision optimally and adaptively. The performance of the proposed neural networks detector is evaluated via extensive computer simulations and compared with other detectors and neural classifiers' schemes in a multi-user environment. The neural detector is shown to exhibits some desirable properties and significantly outperforms the conventional matched filter detector.
Starting Page	2557
Ending Page	2560
File Size	554284
Page Count	4
File Format	PDF
ISBN	0780348591
ISSN	10987576
DOI	10.1109/IJCNN.1998.687265
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-05-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Multiuser detection Detectors Maximum likelihood detection Maximum likelihood estimation Probability density function Estimation theory Signal detection Multiaccess communication Gaussian channels
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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