Robust joint channel and noise estimation in Bayesian blind equalizers

San‐José‐Revuelta, Luis M.; Cid-Sueiro, J.

doi:10.1016/j.sigpro.2003.11.015

Cited by 9 publications

(8 citation statements)

References 22 publications

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“…This approach offers notable capabilities, such as efficient implementation, possibility to include procedures to reduce complexity, and on-line performance monitoring via in-service blind Bit Error Rate (BER) estimation. This paper expands upon previous work of the author on Bayesian single-and multi-user detectors for wireless communications, specifically, the simple method proposed in [30], which was based on the assumption of a memoryless detector and the survival of only the fittest hypothesis (see Section III-A), and the work on Bayesian single-user equalizers [32][33][34].…”

Section: Introductionmentioning

confidence: 73%

“…In the following subsections five different strategies which lead to feasible implementations that avoid the exponential dependence with respect to K and n are proposed. As an introduction, the interested reader can see [32,34] for efficient proposals for reducing the number of hypotheses in single-user scenarios.…”

Section: Complexity Limitation Strategies Methods For Hypotheses Redmentioning

confidence: 99%

“…This function can be described utilizing the Normal Gamma Inverse distribution-as we carried out in [32] for the single-user case. Assuming also that the channel response given by matrix H is independent from the transmitted symbols, we have that…”

Section: Joint Channel and Noise Estimationmentioning

confidence: 99%

“…Next, the decorrelator detector offers an intermediate trade-off between computational load and efficiency. The Bayesian approach shows very good BER figures and also offers the capability of non-data-aided on-line BER estimation, which can be of much interest in many applications [32,33].…”

Section: Near-far Performancementioning

confidence: 99%

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

San‐José‐Revuelta

2007

J VLSI Sign Process Syst Sign Im

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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.

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Section: Introductionmentioning

confidence: 73%

Section: Complexity Limitation Strategies Methods For Hypotheses Redmentioning

confidence: 99%

Section: Joint Channel and Noise Estimationmentioning

confidence: 99%

Section: Near-far Performancementioning

confidence: 99%

See 2 more Smart Citations

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

San‐José‐Revuelta

2007

J VLSI Sign Process Syst Sign Im

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“…It offers notable capabilities, such as efficient implementation using RBFs, possibility to include procedures to reduce complexity, and on-line BER estimation [9,10]. However, it is important to analyze their main drawbacks: the complexity and the possible suboptimal convergence.…”

Section: Introductionmentioning

confidence: 99%

Hypotheses Control-Based Strategies for the Simplification of Bayesian Multiuser Detectors

San‐José‐Revuelta

2005 IEEE Workshop on Machine Learning for Signal Processing

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This paper deals with the development of several simplification strategies, which can be applied to those communication problems analyzed using the Bayesian formulation. Specifically, we will focus our interest on the multiuser detection problem in wireless DS/CDMA environments, where the complexity of the theoretical algorithm grows exponentially with the number of active users as well as with the number of symbols received. The implementation of these algorithms is, most of the times, an unfeasible task and reduced-complexity suboptimal algorithms must then be developed. This paper constitutes a continuation of previous work of the author on Bayesian single-and multi-user detectors for wireless communications. 129 0-7803-9518-2/05/$20.00 ©2005 IEEE

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Entropy-guided micro-genetic algorithm for multiuser detection in CDMA communications

San‐José‐Revuelta

2005

Signal Processing

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Robust joint channel and noise estimation in Bayesian blind equalizers

Cited by 9 publications

References 22 publications

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

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

Hypotheses Control-Based Strategies for the Simplification of Bayesian Multiuser Detectors

Entropy-guided micro-genetic algorithm for multiuser detection in CDMA communications

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