IMPROVEMENT IN ERROR PERFORMANCE THROUGH CHANNEL ESTIMATION IN MIMO-OFDM SYSTEM USING PSO

It is know that high data transmission takes place in MIMO-OFDM system, due to this, there will be an increase in error rate at the receiver. Channel estimation techniques are used to know the system performance of MIMO-OFDM. In pilot based channel estimation, it inserts pilots along with the OFDM symbol by using QAM modulation in the transmitter to recover original data at the receiver. In this paper, channel is estimated using two different algorithms, namely Least Square (LS), and Minimum Mean Square Error (MMSE). The Least square channel estimation algorithm procedure is simple to implement, but it has high mean square error. The Minimum mean square error is better than that of the LS in low signal-to-noise ratio, but it has high computational complexity. In view of this, the Particle swarm optimization algorithm (PSO) is implemented for improving the data rate and reduction in BER, MSE of MIMO-OFDM channel. The PSO provides better result compared to the LS and MMSE algorithms.