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 (ML) 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.Index Terms-Blind equalizer, weighted Gaussian sum, network of Kalman filters.
A robust Kalman filter-based adaptive multiuser receiver is proposed for channel estimation and multiuser detection of ultra wideband (UWB) systems in a realistic indoor channel. A state space stochastic model is developed to describe the dynamics of the UWB multiuser transmission systems. A robust Kalman filter is employed to estimate the channel parameters. In the tracking mode with consideration of channel estimation errors, the proposed robust Kalman filter-based adaptive multiuser decision-feedback equalizer can significantly reduce effects of the multiple access interference (MAI) from the other users and the inter-symbol interference (ISI) in the UWB channel. Simulation results illustrate that performance of the proposed robust adaptive channel estimation works well in a realistic UWB channel. Using the proposed robust channel estimator, the performance of the proposed UWB multiuser detector almost achieves the same bit error rate (BER) as that with actual UWB channel cases, and outplay than that of the conventional RAKE receiver and single-stage parallel interference cancellation (PIC) detector for UWB systems.
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