PSO and ABC based Novel Carrier Frequency Offset Estimation Techniques for Wi-MAX Uplink Transmissions
نویسنده
چکیده
Carrier frequency offset (CFO) estimation is a challenging task in Wi-MAX uplink as it uses orthogonal frequency division multiple access (OFDMA) which demands extremely accurate frequency synchronization. In OFDMA uplink, each user may experience a different CFO relative to the base station reference carrier and the estimation of them turn out to be a multiple parameter estimation problem. In this paper, we propose two efficient null subcarrier based CFO estimation techniques based on particle swam optimization (PSO) and artificial bee colony (ABC) techniques which performs the estimation by minimizing a null subcarrier based cost function. As compared to the classical null subcarrier based grid search algorithm available in the literature, the computational complexity of the proposed techniques are very low. The mean square error of the CFO estimator and bit error rate performance of the Wi-MAX base station receiver that employs the proposed estimation methods are studied through computer simulations. It has been shown that the proposed techniques achieve a better performance than the grid search algorithm at low to medium signal to noise ratio (SNR) where the algorithm reliability is extremely important.
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