An Efficient Pilot Carrier Channel Estimation Using Genetic Algorithm in 4g Mimo-ofdm System

MIMO-OFDM (multiple input multiple output-orthogonal frequency division multiplexing) is an excellent technique used in modern wireless communication systems. It has excellent quality of high speed data/voice transmission with high spectral efficiency. The Least Square (LS) and Minimum Mean Square Error (MMSE) channel estimation are the most common methods presented by several researchers. Discrete Fourier Transform (DFT)-based channel estimation is introduced to minimize the receiver noise interference which cannot be possible in the LS and MMSE techniques. Also, Genetic Algorithm-based optimized 4G channel estimation is proposed in this paper to identify the best channel matrix from the existing LS, MMSE and DFT estimation algorithms. The simulation results clearly show that the performance of optimized GA-based DFT channel estimation is better than the LS and MMSE estimation.