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Hypotheses Control-based Strategies for the Development of Near-optimum Bayesian Detectors for CDMA Systems

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Abstract

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.

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Correspondence to Luis M. San-JosÉ-Revuelta.

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San-JosÉ-Revuelta, L.M. Hypotheses Control-based Strategies for the Development of Near-optimum Bayesian Detectors for CDMA Systems. J VLSI Sign Process Syst Sign Im 48, 127–141 (2007). https://doi.org/10.1007/s11265-006-0010-0

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