Improving OFDM Channel Estimation using Genetic Algorithm and Discrete Fourier Transformation

Data transmission within Wireless sensor is a cause of concern due to low speed, high traffic and limited capabilities of sensors. To enhance the data transmission rates, OFDM (Orthogonal Frequency Division Multiplexing) is used. OFDM significantly enhances the rate with which data is transmitted from source to destination. As traffic over the channel within OFDM increases transfer rate again comes into stake. Bit error rate increases by the application of traffic. This literature purposes genetic algorithm with DFT (Discrete Fourier Transformation) to reduce Bit Error rate (BER) and Signal to noise ratio (SNR). The objective function is set up to take SNR below threshold value. The iteration producing least SNR is selected as optimal generation and correspondingly BER is retained. Result shows improvement from existing literature by 20%