Improved Channel Estimation in Transmit Diversity Mimo-ofdm Using Particle Swarm Optimization

This paper proposes a new method of using particle swarm optimization for channel estimation in transmit diversity. Various channel estimation techniques have been studied. The Least Square estimator performance is compared with Adaptive Regularized Least Square estimator receiver which uses output signal as feedback to enhance the Mean Square Error of system to make it closer to ideal performance value. In channel, it is required to transmit the data from transmitter to receiver but sometimes noise is added to the data that has to be transmitted and that noise is called the interference .To improve the estimation process, evolutionary algorithm like optimization techniques can be utilized for the estimation of the channel. Therefore, a method can be developed based on Particle Swarm Optimization based Least Square estimator for transmit diversity case in OFDM. The results have been shown in support of the proposed method.