Minimum probability of error for asynchronous Gaussian multiple-access channels
IEEE Transactions on Information Theory
Soft-decision equalizers for in-service error rate monitoring
Signal Processing
Signal Processing Applications in CDMA Communications
Signal Processing Applications in CDMA Communications
Robust joint channel and noise estimation in Bayesian blind equalizers
Signal Processing
Maximum likelihood joint channel and data estimation using geneticalgorithms
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
A RAKE-based iterative receiver for space-time block-coded multipath CDMA
IEEE Transactions on Signal Processing
Multistage weighted interference cancellation with receiver diversity for DS-CDMA
IEEE Transactions on Signal Processing
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
An asynchronous multiuser CDMA detector based on the Kalman filter
IEEE Journal on Selected Areas in Communications
Iterative receivers for multiuser space-time coding systems
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Hopfield neural network implementation of the optimal CDMA multiuser detector
IEEE Transactions on Neural Networks
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This paper deals with the development of a new family of simplification procedures that can be applied to those communications problems analyzed using the Bayesian formulation. Specifically, our work focuses on near-optimum Bayesian multiuser detectors for synchronous DS/CDMA systems. The complexity of the theoretical Bayesian approach grows exponentially with both the number of active users and the number of symbols received, constituting, this way, not a viable detection solution. Therefore, the development of suboptimal algorithms by making use of a new set of simplifications strategies becomes a crucial issue to be addressed. In this work, a global framework for multiuser Bayesian equalization is first established by developing a general algorithm suitable for blind (non-data-aided) communications scenarios. Afterwards, a group of simplification techniques is introduced and, finally, the performance is evaluated and compared to that of the most well-known traditional multiuser detectors.