Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
A fast fixed-point algorithm for independent component analysis
Neural Computation
Natural gradient works efficiently in learning
Neural Computation
Advanced ICA-based receivers for block fading DS-CDMA channels
Signal Processing
Blind adaptive multiuser detection based on Kalman filtering
IEEE Transactions on Signal Processing
Blind adaptive multiuser detection
IEEE Transactions on Information Theory
Noisy component extraction (NoiCE)
IEEE Transactions on Circuits and Systems Part I: Regular Papers
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A blind nonlinear interference cancellation receiver for code-division multiple-access- (CDMA-) based communication systems operating over Rayleigh flat-fading channels is proposed. The receiver which assumes knowledge of the signature waveforms of all the users is implemented in an asynchronous CDMA environment. Unlike the conventional MMSE receiver, the proposed blind ICA multiuser detector is shown to be robust without training sequences and with only knowledge of the signature waveforms. It has achieved nearly the same performance of the conventional training-based MMSE receiver. Several comparisons and experiments are performed based on examining BER performance in AWGN and Rayleigh fading in order to verify the validity of the proposed blind ICA multiuser detector.