Abstract
OFDM plays a pivotal role in wireless communications due to its high data rate handling ability and robustness to frequency selective fading channels. In a mobile environment OFMD receiver is sensitive to carrier frequency offset resulting in inter carrier interference. Conventional channel estimation models such as least mean square and minimum mean square error lack performance while handling complex data. This research work identifies the issues in existing models and proposes a cyclic prefix based estimation model for carrier frequency offset. In this research, based on the received carrier phase angle and cyclic prefix information the carrier frequency offset is estimated in combination with a novel evolutionary Cuckoo Search algorithm for efficient optimization. The experimental results reveal that the performance of the proposed approach is superior to conventional MMSE and LMS models in terms of computational convergence and accuracy. The performance of the proposed OFDM model is evaluated and compared with various existing models.
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Rao, R.S.S., Malathi, P. A low complex cuckoo search optimizer based OFDM carrier frequency offset estimation for 5G wireless technology. Int. J. Dynam. Control 7, 1125–1134 (2019). https://doi.org/10.1007/s40435-019-00526-9
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DOI: https://doi.org/10.1007/s40435-019-00526-9