Space–time decision feedback equalisation using a minimum bit error rate design for single-input multiple-output channels

Digital Signal Processing

Hanzo

2008

Self Cite

This contribution considers nonlinear space-time equalisation (STE) for multiple receive-antenna induced single-input multipleoutput (SIMO) systems. By exploiting the inherent symmetry of the underlying optimal Bayesian STE solution, a novel symmetric radial basis function (RBF) based STE scheme is proposed, which is capable of approaching the optimal Bayesian equalisation performance. Adaptive implementation of this symmetric RBF (SRBF) based STE can be achieved conveniently by estimating the SIMO channels using the least mean square channel estimator and computing the optimal RBF centres from the resulting SIMO channel matrix estimate. Simulation results also demonstrate that the performance of this SRBF based STE is robust with respect to the choice of the RBF variance value. The proposed adaptive solution is then extended to the space-time decision feedback equalisation (ST-DFE) structure.

Section: Adaptive Bayesian Space-time Equalisermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive Bayesian space–time equalisation for multiple receive-antenna assisted single-input multiple-output systems

Chen

Digital Signal Processing

Hanzo

2008

Self Cite

“…To our knowledge, all existing papers on the estimation of BER using IS address the first issue. For general articles discussing the first issue, the reader can consult Jeruchim [8], Wang and Bhargava [16], Wang and Lu [17], Smith [14], Chen [4], Lee [10], Yoon et al [18], Roh and Rao [12], Chen et al [5], Chen et al [6], Chang and Oh [3], and Bocquet et al [2].…”

Section: Introductionmentioning

confidence: 99%

Importance sampling techniques for estimating the bit error rate in digital communication systems

Song

Chiu

Journal of the Chinese Institute of Industrial Engineers

et al. 2010

We are interested in estimating the bit error rate (BER) for signal transmission in digital communication systems. Since BERs tend to be extremely small, it is difficult to obtain precise estimators based on the use of crude Monte Carlo simulation techniques. In this article, we review, expand upon, and evaluate a number of importance sampling variance reduction techniques for estimating the BER. We find that a mixture of certain ''tailed'' distributions with a uniform distribution produce estimators that are at least competitive with those in the literature. Our comparisons are based on analytical calculations and lay the groundwork for the evaluation of more-general mixture distributions.

“…Again, the optimal solution for the linear STE's weight vector θ is known to be the linear minimum bit error rate (LMBER) solution [17]. However, just as in the case of the SISO channel equalisation [13]- [16], the optimal STE solution based on the information provided in x(k) is nonlinear.…”

Section: Introductionmentioning

confidence: 99%

Symmetric Radial Basis Function Assisted Space-Time Equalisation for Multiple Receive-Antenna Aided Systems

Chen

2007 IEEE 66th Vehicular Technology Conference

Hanzo

2007

Self Cite

Abstract-This constribution considers nonlinear space-time equalisation (STE) designed for single-input multiple-output (SIMO) systems. By exploiting the inherent symmetry of the underlying optimal Bayesian STE solution, a novel symmetric radial basis function (RBF) based STE scheme is proposed, which is capable of achieving the optimal Bayesian equalisation performance. The adaptive adjustment of the STE taps of this symmetric RBF (SRBF) based STE can be achieved by estimating the SIMO channel encountered using the classic least mean square channel estimator and computing the optimal RBF centres from the resultant SIMO channel matrix estimate. Our simulation results demonstrate that the performance of this SRBF based STE is robust with respect to the choice of the algorithmic parameters.