Blind MMSE Equalizer Based on Linear Prediction
基于线性预测的盲最小均方误差均衡器

Blind fractionally spaced equalizers can reduce intersymbol interference using only second-order statistics. A blind MMSE equalizer based on linear prediction is presented in this paper. It can directly equalize the channel from the fractionally sampled observations without performing channel identification. In addition, it can be implemented efficiently using the RLS algorithm. Simulation results show that the blind MMSE equalizer has smaller mean-square error of symbol estimation than the corresponding zero-forcing equalizer.