26 March 2001 Independent component analysis for multiple access interference noise cancellation
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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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