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http://dx.doi.org/10.3837/tiis.2019.11.007

Joint Kalman Channel Estimation and Turbo Equalization for MIMO OFDM Systems over Fast Fading Channels  

Chang, Yu-Kuan (Department of Electrical Engineering National Chung Hsing University)
Ueng, Fang-Biau (Department of Electrical Engineering National Chung Hsing University)
Shen, Ye-Shun (Department of Aeronautical Engineering National Formosa University)
Liao, Chih-Yuan (Department of Electrical Engineering National Chung Hsing University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.13, no.11, 2019 , pp. 5394-5409 More about this Journal
Abstract
The paper investigates a novel detector receiver with Kalman channel information estimator and iterative channel response equalization for MIMO (multi-input multi-output) OFDM (orthogonal frequency division multiplexing) communication systems in fast multipath fading environments. The performances of the existing linear equalizers (LE) are not good enough over most fast fading multipath channels. The existing adaptive equalizer with decision feedback structure (ADFE) can improve the performance of LE. But error-propagation effect seriously degrades the system performance of the ADFE, especially when operated in fast multipath fading environments. By considering the Kalman channel impulse response estimation for the fast fading multipath channels based on CE-BEM (complex exponential basis expansion) model, the paper proposes the iterative receiver with soft decision feedback equalization (SDFE) structure in the fast multipath fading environments. The proposed SDFE detector receiver combats the error-propagation effect for fast multipath fading channels and outperform the existing LE and ADFE. We demonstrate several simulations to confirm the ability of the proposed iterative receiver over the existing receivers.
Keywords
Kalman channel estimation; SDFE; turbo channel equalizer;
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