Recursive channel estimation algorithms for iterative receiver in MIMO-OFDM systems
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
IEEE Journal on Selected Areas in Communications - Special issue on realizing GBPS wireless personal area networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Low complexity semi-blind Bayesian iterative receiver for MIMO-OFDM systems
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Low complexity variational bayes iterative receiver for MIMO-OFDM systems
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
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This paper proposes two new types of maximum a posteriori probability (MAP) receivers for multiple-input-multiple-output and orthogonal frequency-division multiplexing mobile communications with a channel coding such as the low-density parity-check code. One proposed receiver employs the expectation-maximization algorithm so as to improve performance of approximated MAP detection. Differently from a conventional receiver employing the minimum mean-square estimation (MMSE) algorithm, it applies the recursive least squares (RLS) algorithm to the channel estimation in order to track a fast fading channel. For the purpose of further improvement, the other proposed receiver applies a new adaptive algorithm that can be derived from the message passing on factor graphs. The algorithm exploits all detected signals but one of targeted time, and can gain a considerable advantage over the MMSE and RLS. Computer simulations show that the first proposed receiver is superior in channel-tracking ability to the conventional receiver employing the MMSE. Furthermore, it is demonstrated that the second proposed receiver remarkably outperforms both the conventional and the first proposed ones.