An classification-based adaptive decision feedback equalizer for Rayleigh multipath channel

作者：Yang Yong^*; Gao Xinbo; Gao Zixin; Wang Xiumei

来源：Journal of Computational Information Systems, 2012, 8(2): 869-876.

• Adaptive decision feedback equalizers
• Adaptive equalization
• Bit error rates (BER)
• Classification algorithm
• Decision feedback
• Rayleigh
• Recursive least square (RLS)
• Recursive least squares algorithms
• RLS algorithms
• Support vector machine (SVM)
• SVM
• SVM classifiers

This paper aims at dealing with the issue of adaptive equalization for Rayleigh multipath fading channel. A classification-based adaptive decision feedback equalizer (DFE) using recursive least squares (RLS) algorithm is proposed in this paper. Unlike the standard DFE, the classification-based DFE considers the decision device of the DFE as a classifier from the point of view of classification. Given the superior performance of the support vector machine (SVM) classification algorithm, we use an SVM classifier as the decision device of the DFE to improve the accuracy of signal decision. Also the performance of the SVM-based DFE is compared with that of the standard DFE using adaptive RLS algorithm. The simulation results illustrate that the SVM DFE could achieve much lower bit error rate (BER) at the receiver in Rayleigh multipath fading channel than the standard DFE using adaptive RLS algorithm.

• 出版日期2012
• 单位西安电子科技大学