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Article Information:
Joint ICA-Based Blind Detection and Parameter Assessment in DS-CDMA Systems
Mohammad Eslami, Javad Afshar Jahanshahi and Seyed Ali Ghorashi
Corresponding Author: Javad Afshar Jahanshahi
Submitted: 2011 May, 30
Accepted: 2011 August, 08
Published: 2011 September, 20 |
Abstract:
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In this study, blind code extraction of Direct Sequence Code Division Multiple Access (DS-CDMA)
signals is considered, based on Independent Component Analysis (ICA) method. In order to distinguish between
correct and incorrect extracted codes, to estimate the number of active users and also to determine the quality
of detection along with the ICA based blind detection procedure, some propositions are defined. These
propositions are used to improve the performance of the ICA blind detection based method. Then, in order to
analyze the proposed criteria, Principle Component Analysis (PCA) and Gaussian Mixture Model (GMM) are
employed. Experimental results illustrate that the achieved performance of the defined criteria.
Key words: Active user enumeration, blind detection, code division multiple access, gaussian mixture model, independent component analysis, principle component analysis,
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Cite this Reference:
Mohammad Eslami, Javad Afshar Jahanshahi and Seyed Ali Ghorashi, . Joint ICA-Based Blind Detection and Parameter Assessment in DS-CDMA Systems. Research Journal of Applied Sciences, Engineering and Technology, (09): 857-865.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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