Performance Enhancement Of Training Based ChannelEstimation In MIMO-OFDM System

The MIMO and OFDM systems are combined for enhancing the received signal quality without increasing the channel bandwidth in a multi path fading environment. In a fading environment, CSI is required to reconstruct the data at the receiver section of the MIMO-OFDM systems. For estimating the channel effects, pilot symbols are mixed with the data symbols and transmitted. The performance of training-based channel estimation technique depends on the positions of pilot carriers. In the proposed work, Adaptive ABC optimization technique is used for finding the best positions of pilot signals such that the performance of MIMO-OFDM system is improved when compared to the fixed positions of pilot signals. The performance metrics used in this paper are BER, MSE. According to simulation results, LS channel estimation with Adaptive ABC optimization technique outperforms than the fixed pilot positions.