A Novel Genetic Algorithm Based Hybrid Channel Estimation for 4g Mimo Ofdm Systems

Abstract

i newlineABSTRACT newlineThe Fourth Generation (4G) is an Internet Protocol (IP)-based wireless technology used for very high speed data transmission between various wireless devices such as laptops, smart phones, modems, IP-Telephony, etc. The orthogonal Frequency Division Multiplexing (OFDM) and Multi-input and Multi-Output system (MIMO) are the evolving technologies for the 4G wireless system. The channel estimation has a momentous role in the MIMO-OFDM system for reliable communication with minimum error. This thesis proposes a novel pilot-aided hybrid channel estimation using Genetic Algorithm (GA) for the 4G MIMO-OFDM wireless system. newlineThe thesis focuses on the development of the new hybrid channel estimation using GA to mitigate the drawbacks of Least Square (LS), Minimum Mean Square Error (MMSE) and Discrete Fourier Transform (DFT) channel estimations. The design and development of GA-based crossover of LS/MMSE channel estimation has been executed using GA for the 4G 2 X 2 MIMO-OFDM system under Additive White Gaussian Noise (AWGN) channel, Rayleigh fading channel and Rician fading channel. The Bit Error Rate (BER) and Mean Square Error (MSE) are calculated. The simulation results are compared with GA-based LS, GA-based MMSE, LS and MMSE channel estimations. newlineThe complete design, implementation and analysis of GA-based hybrid channel estimation has been carried out by combining DFT-LS and DFT-MMSE channel estimation techniques using crossover followed by the mutation operation for the 4G 2 X 2 MIMO-OFDM system under AWGN channel, Rayleigh fading channel and Rician fading channel in terms of BER and MSE. The simulation results are compared with GA-based DFT-LS and GA-based DFT-MMSE, GA-based crossover of LS/MMSE, MMSE, LS channel estimation techniques. newlineThe simulation results clearly prove that this novel GA-based hybrid-DFT channel estimation technique outperforms the other training-based channel estimation techniques in terms of MSE and BER for the 4G MIMO-OFDM wireless system. newline