Efficient blind decoding of MIMO using sequential Monte Carlo

In this paper, blind decoding of OSTBC based MIMO systems using sequential Monte-Carlo methods is considered. Similar receivers developed earlier have suffered from the high computational complexity. By introducing some simplification and approximation techniques, we present a new decoding algorithm that requires much less computation. In addition to that, an efficient interlaced maximum likelihood estimator approach is developed to blindly estimate the statistical parameters of the channel. While a comparative analysis on the computational complexity shows significant computational savings, the simulation results show that the performance of the proposed algorithm is not compromised.