26 March 2001 Independent component analysis for multiple access interference noise cancellation
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Proceedings Volume 4391, Wavelet Applications VIII; (2001); doi: 10.1117/12.421223
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States
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.
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Ming Ye, Harold H. Szu, "Independent component analysis for multiple access interference noise cancellation", Proc. SPIE 4391, Wavelet Applications VIII, (26 March 2001); doi: 10.1117/12.421223; https://doi.org/10.1117/12.421223
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KEYWORDS
Independent component analysis

Antennas

Wavelets

Interference (communication)

Neural networks

Telecommunications

Receivers

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