Performance Enhancement of MIMO-OFDM System with Perfect Channel Estimation Using Delayed Feedback

Using multiple broadcast and capturing antennas to create MIMO channels can enhance capacity by a factor equal to the smaller of the number of broadcasting or capturing elements. To reduce inter-symbol interference and increase system capacity, Subcarrier-Based Transmission Technique (OFDM) is employed in MIMO channels (MIMO-OFDM) to enable efficient wideband transmission in this study. Two separate space-time codes are used by the MIMO-OFDM system for two sets of two broadcasting antennas. Pre-whitening and Closest-point interpretation based on Iterative interference suppression are used at the receiver to decode the separate space-time codes. The primary goal of this work is to estimate the ideal channel utilising delayed feedback, in which the transmitter and receiver estimate the feedback. Guard bits are used here for the OFDM signals. We discovered that LS is a perfect channel by examining the estimators' results in MATLAB. Thus, the optimal method for channel estimation is delayed feedback. Additionally, the experimental results guarantee improved performance when a MIMO-OFDM system employs Delayed Feedback and Channel Estimation.