An Artificial Bee Colony Optimization based Channel Estimation Design for MIMO- OFDM Systems

ARTICLE INFO ABSTRACT Article history: Background: Orthogonal Frequency Division Multiplexing (OFDM) is a modulation approach used to fight with the selection of frequency of the transmission channels to attain high data rate without any disturbances. OFDM principle is to gain popularity in the wireless transmission area. OFDM is united with antenna at the transmitter and receiver to amplify the variety gain and to improve the system capacity on time-variant and frequency selective channels, ensuing in a multiple-input multiple-output (MIMO) pattern. Objective: Least Square (LS) and Minimum Mean Square Error (MMSE) approaches are the most commonly used channel estimation techniques. In LS, the estimation process is simple but the problem is that it has high mean square error. In Low SNR, the MMSE is better than that of LS, but its main problem is its high computational complexity. In order to overcome the above said problems, a novel method called Artificial Bee Colony (ABC) technique is proposed in this research work which combines LS and MMSE and also it is introduced to select the best channel. Results: The proposed approach is more efficient and also requires less time to estimate the best channel when compared with other techniques. Conclusion: The experimental results show the performance of the proposed channel estimation method over the existing methods.