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Proceedings Paper

Independent component analysis for multiple access interference noise cancellation
Author(s): Ming Ye; Harold H. Szu
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Paper Abstract

Multiple access interference cancellation system is based on the emerging unsupervised neural network learning technique called Independent Component Analysis (ICA) which can determine both the channel propagation transfer function [A] and independent sources S, provided that the channel is linear and an array of receiver antenna exists. The proposed technique works at various levels in a base band synchronous Direct Sequence Code Division Multiple Access (DS- CDMA) system. Simulation results show that the performance equivalent to single user is achievable in principle. The realistic channel propagation case involving time delay and multiple path effects will be considered for a practical system implementation.

Paper Details

Date Published: 26 March 2001
PDF: 12 pages
Proc. SPIE 4391, Wavelet Applications VIII, (26 March 2001); doi: 10.1117/12.421223
Show Author Affiliations
Ming Ye, George Washington Univ. (United States)
Harold H. Szu, George Washington Univ. (United States)


Published in SPIE Proceedings Vol. 4391:
Wavelet Applications VIII
Harold H. Szu; David L. Donoho; Adolf W. Lohmann; William J. Campbell; James R. Buss, Editor(s)

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