A Full-Diversity Blind Channel Estimation and Equalization over Fast Time-Varying ISI Fading Channels

作者：Liao Jung Feng^*; Chen Bor Sen

来源：IEEE Transactions on Wireless Communications, 2008, 7(11): 4070-4075.

DOI：10.1109/T-WC.2008.070507

• Blind equalizer
• weighted Gaussian sum
• network of Kalman filters

In this study, we propose a novel full-diversity combination algorithm to significantly improve the performance of the network Kalman-based blind equalizers. Based on the weighted Gaussian sum (WGS) technique and the network of extended Kalman filters (NEKF), the proposed full-diversity blind equalizer can employ the prediction errors of network of Kalman filters to achieve the maximum likelihood (NIL) detection. In the first initial condition, the proposed full-diversity blind equalizer requires an initial training sequence in order to estimate the initial channel coefficients. For symbol detection, the proposed full-diversity blind equalizer demonstrates a significant improvement over the conventional WGS-IMM (Interacting Multiple Model) blind equalizer in the bit error rate (BER) performance. Besides, from the trade-off between performance and computational complexity, the proposed modified 2-Diversity blind equalizer is shown to be a best choice for the WGS-based blind equalizer.

• 出版日期2008-11
• 单位清华大学