Adaptive Bayesian equalizer with decision feedback

@article{Chen1993AdaptiveBE,
  title={Adaptive Bayesian equalizer with decision feedback},
  author={Sheng Chen and B. Mulgrew and S. McLaughlin},
  journal={IEEE Trans. Signal Process.},
  year={1993},
  volume={41},
  pages={2918-2927}
}
A Bayesian solution is derived for digital communication channel equalization with decision feedback. This is an extension of the maximum a posteriori probability symbol-decision equalizer to include decision feedback. A novel scheme utilizing decision feedback that not only improves equalization performance but also reduces computational complexity greatly is proposed. It is shown that the Bayesian equalizer has a structure equivalent to that of the radial basis function network, the latter… Expand
Joint channel estimation and data detection using a blind Bayesian decision feedback equaliser
TLDR
A blind adaptive algorithm for channel equalisation is proposed based on a joint channel estimation and data detection approach and convergence can be achieved within a few hundred symbols when a 4-level symbol constellation is used. Expand
Adaptive Bayesian decision feedback equaliser incorporating co-channel interference compensation
TLDR
Results obtained indicate that, by compensating CCI the Bayesian DFE can outperform the maximum likelihood sequence estimator (MLSE) for the CCI. Expand
Blind equalization using parallel Bayesian decision feedback equalizer
The purpose of this paper is to propose a new method for blind equalization using parallel Bayesian decision feedback equalizer (DFE). Blind equalization based on decision-directed algorithm,Expand
Efficient architecture for Bayesian equalization using fuzzy filters
A normalized Bayesian solution is derived for digital communication channel equalization which uses estimates of scalar channel states. This equalizer is termed as a normalized Bayesian equalizerExpand
Bayesian decision feedback equaliser for overcoming co-channel interference
The authors derive a Bayesian decision feedback equaliser which incorporates co-channel interference compensation. By exploiting the structure of co-channel interfering signals, the proposed BayesianExpand
Channel Equalization Based on Decision Trees
TLDR
The results are quite encouraging, as they show that the tree-based equalizer reaches, in many cases, a performance similar to that of the Bayesian filter with a computational cost that tends to be lower as the duration of the channel impulse response increases. Expand
Discriminative learning strategy for efficient neural decision feedback equalizers
  • E. D. D. Claudio, R. Parisi, G. Orlandi
  • Computer Science
  • 2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353)
  • 2000
TLDR
It is shown that the choice of a cost functional based on Discriminative Learning (DL), coupled with a fast training paradigm, can provide neural equalizers that outperform the standard DF equalizer (DFE) at a practical signal to noise ratio (SNR). Expand
A decision feedback recurrent neural networks equalizer for digital communication
  • W. Mo, L. Li, H. Jiang
  • Computer Science
  • Fifth Asia-Pacific Conference on ... and Fourth Optoelectronics and Communications Conference on Communications,
  • 1999
Two decision feedback equalizer structures employing recurrent neural networks (RNN) are proposed, which put the traditional decision feedback structure for linear channels equalization skilfullyExpand
Fast adaptive decision-selection equalizer convergence using a tree-structured algorithm
  • D. Sebald
  • Computer Science
  • 2012 IEEE Statistical Signal Processing Workshop (SSP)
  • 2012
TLDR
A tree-structured algorithm is proposed herein to speed convergence when the various conditional hyperplanes are not orthogonal in exchange for a manageable increase in memory and processing. Expand
Asymptotic Bayesian decision feedback equalizer using a set of hyperplanes
TLDR
This work presents a signal space partitioning technique for realizing the optimal Bayesian decision feedback equalizer (DFE), made up of a set of parallel linear discriminant functions and a Boolean mapper. Expand
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 26 REFERENCES
Adaptive Bayesian decision feedback equalizer for dispersive mobile radio channels
TLDR
The paper develops a robust high performance Bayesian decision feedback equalizer (DFE) that outperforms the conventional DFE dramatically and the maximum likelihood sequence estimator (MLSE) for severely fading multipath channels. Expand
A clustering technique for digital communications channel equalization using radial basis function networks
TLDR
It is shown that the radial basis function network has an identical structure to the optimal Bayesian symbol-decision equalizer solution and, therefore, can be employed to implement the Bayesian equalizer. Expand
Adaptive channel equaliza-tion using a polynomial-perceptron structure
The paper investigates the application of a simple nonlinear structure to the problem of adaptive channel equalisation. Based on the Bayes decision rule, it is shown that the optimal equalisationExpand
Overcoming co-channel interference using an adaptive radial basis function equaliser
TLDR
This paper investigates the problem of adaptive equalisation in the presence of intersymbol interference, additive white Gaussian noise and co-channel interference and derives a two-stage learning strategy that enables the radial basis function network to realise the optimal Bayesian symbol-decision equaliser. Expand
Adaptive equalization
  • S. Qureshi
  • Computer Science
  • Proceedings of the IEEE
  • 1985
TLDR
This tutorial paper gives an overview of the current state of the art in adaptive equalization and discusses the convergence and steady-state properties of least mean-square (LMS) adaptation algorithms, including digital precision considerations, and three classes of rapidly converging adaptive equalizer algorithms. Expand
Maximum-likelihood sequence estimation of digital sequences in the presence of intersymbol interference
  • G. Forney
  • Mathematics, Computer Science
  • IEEE Trans. Inf. Theory
  • 1972
TLDR
A maximum-likelihood sequence estimator for a digital pulse-amplitude-modulated sequence in the presence of finite intersymbol interference and white Gaussian noise is developed and performance is shown that performance is effectively as good as could be attained by any receiver structure. Expand
Statistical detection for communication channels with intersymbol interference
The optimum detector under a fixed delay constraint D is derived for channels having memory and additive noise. The resulting receiver is recursive and does not grow with the message length. ItsExpand
Block decision feedback equalization
A natural generalization of the conventional decision feedback equalizer (DFE) based on block processing and maximum a posteriori decisions is presented. This block DFE is indexed by two parametersExpand
The application of nonlinear structures to the reconstruction of binary signals
TLDR
The manner in which neural networks can be utilized as adaptive channel equalizers is described, and simulation results which suggest that the neural network equalizers offer a performance which exceeds that of the linear structures, particularly in the high-noise environment are presented. Expand
Adaptive maximum-likelihood sequence estimation for digital signaling in the presence of intersymbol interference (Corresp.)
An adaptive maximum-likelihood sequence estimator for a digital pulse-amplitude-modulated sequence in the presence of finite-duration unknown slowly time-varying intersymbol interference and additiveExpand
...
1
2
3
...