Accuracy Improvement in Algorithm Design for MIMO-OFDM System
This paper presents Algorithm Design to improve accuracy for MIMO-OFDM system. In order to deal with pilot contamination problem the channel estimation method must be as accurate as possible. Channel Estimation measures the effect of AWGN (Additive White Gaussian) channel on Known or partially known transmitted input data set. In this paper we propose, Bayesian Channel Estimation Algorithm design consist of Space-Time-Block-Coding (STBC) technique along with SVD based subspace approach. Further we present Unique-Word technique instead of using conventional cyclic extension method to improve the throughput of the MIMO-OFDM system. Also we analyze this UW performance over different constellation techniques such as QPSK, 4-QAM, 8-QAM and 16-QAM.
Keywords – MIMO-OFDM System, Bayesian Channel Estimation, STBC, SVD Approach, Unique-Word.