Blind channel and symbol joint estimation in cooperative MIMO for wireless sensor network

In this paper, application of Sequential Quasi Monte Carlo (SQMC) to blind channel and symbol joint estimation in cooperative Multiple-Input Multiple-Output (MIMO) system is proposed, which does not need to transmit training symbol and can save the power and channel bandwidth. Additionally, an improved version of SQMC algorithm by taking advantage of current received signal is discussed. Simulation results show that the SQMC method outperforms the Sequential Monte Carlo (SMC) methods, and the incorporation of current received signal improves the performance of the SQMC obviously.

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