Minimum probability of error for asynchronous Gaussian multiple-access channels
IEEE Transactions on Information Theory
Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
Asymptotic convergence analysis of the projection approximation subspace tracking algorithms
Signal Processing - Special issue on subspace methods, part I: array signal processing and subspace computations
A fast fixed-point algorithm for independent component analysis
Neural Computation
Adaptive minimum variance methods for direct blind multichannel equalization
Signal Processing - Special issue on blind source separation and multichannel deconvolution
Multiuser Detection
WCDMA for UMTS: Radio Access for Third Generation Mobile Communications
WCDMA for UMTS: Radio Access for Third Generation Mobile Communications
A blind signal separation method for multiuser communications
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Blind multiuser detection: a subspace approach
IEEE Transactions on Information Theory
Blind adaptive multiuser detection
IEEE Transactions on Information Theory
An implementation of nonlinear multiuser detection in Rayleigh Fading channel
EURASIP Journal on Wireless Communications and Networking
Blind multiuser detection by kurtosis maximization for asynchronous multirate DS/CDMA systems
EURASIP Journal on Applied Signal Processing
EURASIP Journal on Applied Signal Processing
EURASIP Journal on Applied Signal Processing
An implementation of nonlinear multiuser detection in Rayleigh fading channel
EURASIP Journal on Wireless Communications and Networking
IEEE Transactions on Neural Networks
Comparative speed analysis of fastICA
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Blind Signal Separation for Cognitive Radio
Journal of Signal Processing Systems
ICA with time-varying convergence factor and its application in communications
ICCOM'06 Proceedings of the 10th WSEAS international conference on Communications
Global convergence of FastICA: theoretical analysis and practical considerations
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
A two-stage Independent Component Analysis-based method for blind detection in CDMA systems
Digital Signal Processing
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In this paper we propose two types of receivers, which perform blind interference suppression. The receivers are suitable for the third generation mobile communications systems, which are based on direct-sequence code division multiple access (DS-CDMA). We especially consider the statistical technique called independent component analysis (ICA) as a tuning element attached to an existing single-user or blind multiuser detector. By doing this, the statistical independence of the users' signals can be exploited. In addition, it makes it possible to alleviate the performance drop due to the erroneous parameters estimation in the receiver. From the ICA point of view, the receiver observes a mixture of users' original signals, determined by the user-specific spreading codes, the data symbols, and the state of the propagation channel. Since all of them might be complex valued by nature, complex ICA is needed. In the paper, a proof of global convergence is given for the kurtosis-based FastICA algorithm in the case of complex valued source signals with circular distribution, and considered as the ICA component of the advanced receivers. Two types of receivers, RAKE-ICA and MMSE-ICA, are proposed and studied in a Rayleigh block fading channel. Extensive numerical simulations indicate that the performance of RAKE and subspace MMSE detector, respectively, can be greatly improved. Quite significantly, their performance is close to the theoretical bound of an equal length MMSE detector.